| Accelerated Failure Time (AFT) Models | Yes | Yes | python, r, sas | Not verified | Yes | 3 |
| ACS and Area-Level SDoH Linkage | Yes | Yes | — | Not verified | — | 5 |
| Active Comparator, New-User Design | Yes | Yes | python, r, sas | Not verified | Yes | 3 |
| Acute Event Deduplication Window | Yes | Yes | python, r, sas | Not verified | Yes | 4 |
| ADaM for Real-World Data Submissions | Yes | Yes | python, r, sas | Not verified | Yes | 4 |
| Agreement Statistics: Kappa, ICC, and Bland-Altman | Yes | Yes | python, r, sas | Not verified | Yes | 3 |
| AHRQ CCS and CCSR Clinical Classifications | Yes | Yes | — | Not verified | — | 5 |
| Algorithm Validation | Yes | Yes | python, r, sas | Not verified | Yes | 5 |
| All-Cause vs Attributable Costs | Yes | Yes | python, r, sas | Not verified | Yes | 3 |
| As-Treated Risk Window Construction | Yes | Yes | python, r, sas | Not verified | Yes | 5 |
| ATC Classification and Defined Daily Dose (DDD) | Yes | Yes | python, r | Not verified | Yes | 4 |
| Attributable Risk and Population Attributable Fraction | Yes | Yes | python, r, sas | Not verified | — | 2 |
| Attrition and Loss to Follow-Up | Yes | Yes | python, r, sas | Not verified | Yes | 6 |
| Augmented Inverse Probability Weighting (AIPW) | Yes | Yes | python, r, sas | Not verified | Yes | 3 |
| Baseline Characteristics and Covariate Balance | Yes | Yes | python, r, sas | Not verified | Yes | 5 |
| Bayesian Inference Foundations | Yes | Yes | python, r, sas | Not verified | Yes | 3 |
| Behavioral and Care-Delivery Intervention Exposures | Yes | Yes | python, r, sas | python, r | — | 3 |
| Benefit Carve-Outs in Claims Data | Yes | Yes | — | Not verified | — | 3 |
| Beta Distribution for Proportions and Utilities | Yes | Yes | python, r, sas | Not verified | — | 3 |
| Binomial Distribution and the Logit Link | Yes | Yes | python, r, sas | Not verified | Yes | 2 |
| Biomarker-Defined Cohort (RWE) | Yes | Yes | python, r, sas | Not verified | Yes | 5 |
| Bootstrap and Resampling Methods | Yes | Yes | python, r, sas | Not verified | Yes | 3 |
| Bayesian Borrowing from Historical / External Controls | Yes | Yes | r, python, sas | Not verified | Yes | 7 |
| Brier Score | Yes | Yes | python, r, sas | python, r | Yes | 5 |
| Budget Impact Analysis | Yes | Yes | python, r, sas | Not verified | Yes | 3 |
| Burden of Disease and Cost-of-Illness (COI) Studies | Yes | Yes | python, r, sas | Not verified | Yes | 5 |
| Calendar-Time Bias and Secular-Trend Confounding | Yes | Yes | python, r, sas | Not verified | Yes | 4 |
| Caregiver Health, Informal Care, and Productivity Costs | Yes | Yes | python, r | python, r | — | 4 |
| Cascade of Care Analysis | Yes | Yes | python, r, sas | Not verified | Yes | 4 |
| Case-Case-Time-Control Design | Yes | Yes | python, r, sas | Not verified | Yes | 4 |
| Case-Cohort Design | Yes | Yes | python, r, sas | Not verified | Yes | 3 |
| Case-Control Study Design | Yes | Yes | python, r, sas | Not verified | Yes | 5 |
| Case-Crossover Design | Yes | Yes | python, r, sas | Not verified | Yes | 5 |
| Case Report | Yes | Yes | python, r, sas | Not verified | Yes | 4 |
| Case Series | Yes | Yes | python, r, sas | Not verified | Yes | 3 |
| Case-Time-Control Design | Yes | Yes | python, r, sas | Not verified | Yes | 5 |
| Causal Mediation Analysis | Yes | Yes | python, r, sas | python, r | — | 1 |
| Causal Mediation and Effect Modification | Yes | Yes | python, r, sas | Not verified | Yes | 6 |
| CDISC Controlled Terminology for RWE Submissions | Yes | Yes | python, r, sas | Not verified | Yes | 4 |
| CDISC Standards (SDTM/ADaM) for RWE Submissions | Yes | Yes | python, r, sas | python, r | — | 2 |
| Cost-Effectiveness Acceptability Frontier and Expected Opportunity Loss | Yes | Yes | python, r | python, r | — | 3 |
| Censored Cumulative-Cost Estimation | Yes | Yes | python, r | python, r | — | 2 |
| Censoring: Types, Mechanisms, and Informativeness | Yes | Yes | python, r, sas | Not verified | Yes | 3 |
| Observational Comparative Effectiveness Research | Yes | Yes | python, r, sas | Not verified | Yes | 6 |
| Charlson / Quan-Charlson Comorbidity Index (CCI) | Yes | Yes | python, r, sas | Not verified | Yes | 4 |
| Chart Abstraction Interrater Reliability | Yes | Yes | python, r, sas | Not verified | Yes | 6 |
| Chi-Square Test of Independence | Yes | Yes | python, r, sas | Not verified | Yes | 4 |
| Claim Adjustments, Reversals, and Denials | Yes | Yes | python, r, sas | Not verified | Yes | 2 |
| Administrative Claims Analysis | Yes | Yes | python, r, sas | Not verified | Yes | 4 |
| Claims-Based Frailty Index (Faurot / Kim) | Yes | Yes | python, r, sas | Not verified | Yes | 4 |
| Claims Outcome Algorithm PPV/Sensitivity Trade-off | Yes | Yes | python, r, sas | Not verified | Yes | 6 |
| Claims Payment Anatomy: Billed, Allowed, and Paid Amounts | Yes | Yes | python, r, sas | Not verified | Yes | 10 |
| Clinical Outcome Assessment Types and Context of Use | Yes | Yes | python, r, sas | python, r | — | 2 |
| Clone-Censor-Weight for Per-Protocol Target-Trial Emulation | Yes | Yes | python, r, sas | Not verified | Yes | 5 |
| Cluster-Randomized Trial | Yes | Yes | python, r, sas | Not verified | Yes | 5 |
| Cluster-Robust Standard Errors | Yes | Yes | python, r, sas | Not verified | Yes | 5 |
| CMS-1500 / 837P Professional Claim Fields | Yes | Yes | python, r | Not verified | Yes | 6 |
| CMS-HCC Risk Adjustment | Yes | Yes | — | Not verified | — | 3 |
| Coarsened Exact Matching (CEM) | Yes | Yes | python, r, sas | Not verified | Yes | 5 |
| Prospective Cohort Study | Yes | Yes | python, r, sas | Not verified | Yes | 5 |
| Retrospective Cohort Study Design | Yes | Yes | python, r, sas | Not verified | Yes | 4 |
| Collider Bias and Index-Event Bias | Yes | Yes | python, r, sas | Not verified | Yes | 6 |
| Comparative Effectiveness Research (CER) Methods | Yes | Yes | python, r, sas | Not verified | Yes | 6 |
| Competing Risks (Cause-Specific Hazard, Cumulative Incidence, and Fine-Gray) | Yes | Yes | python, r, sas | Not verified | Yes | 5 |
| Complete-Case Analysis | Yes | Yes | python, r, sas | Not verified | Yes | 5 |
| Composite Endpoint Construction | Yes | Yes | python, r, sas | Not verified | Yes | 4 |
| Confounding by Indication and Channeling Bias | Yes | Yes | python, r | Not verified | Yes | 4 |
| Continuous Enrollment and Observable Time | Yes | Yes | python, r, sas | Not verified | Yes | 4 |
| Continuous Measurement Error and Correction | Yes | Yes | python, r, sas | Not verified | Yes | 3 |
| Cost-Benefit Analysis (CBA) | Yes | Yes | python, python, r | Not verified | Yes | 4 |
| Cost-Consequence Analysis | Yes | Yes | python, r | python, r | — | 2 |
| Cost-effectiveness Analysis (CEA) | Yes | Yes | python, r | Not verified | Yes | 7 |
| Cost-minimization Analysis (CMA) | Yes | Yes | python, r, sas | Not verified | Yes | 3 |
| Cost-of-Illness (COI) Study | Yes | Yes | python, r, sas | Not verified | Yes | 4 |
| Cost Outlier Handling (Winsorization, Trimming, Robust/Two-Part Models) | Yes | Yes | python, r, sas | Not verified | Yes | 4 |
| Cost Standardization: Price Year, Currency, and Purchasing Power | Yes | Yes | python, r | python, r | — | 1 |
| Cost-Utility Analysis (CUA) | Yes | Yes | python, r, sas | Not verified | Yes | 5 |
| Cox Proportional Hazards Regression | Yes | Yes | python, r, sas | Not verified | Yes | 4 |
| CPRD (Clinical Practice Research Datalink) | Yes | Yes | python, r, sas | Not verified | Yes | 4 |
| CPT Codes (HCPCS Level I) | Yes | Yes | python, r | Not verified | — | 6 |
| Credible Interval in Bayesian Statistics | Yes | Yes | python, r, sas | Not verified | Yes | 5 |
| Cross-Sectional Study | Yes | Yes | python, r, sas | Not verified | Yes | 3 |
| Cross-Validation, Overfitting, and Optimism | Yes | Yes | python, r | Not verified | Yes | 3 |
| Cumulative Incidence and Absolute Risk Estimation | Yes | Yes | python, r, sas | Not verified | Yes | 4 |
| Cure Models (Mixture and Non-Mixture) | Yes | Yes | python, r, sas | Not verified | Yes | 3 |
| DAGs and the Backdoor Criterion for Drug Studies | Yes | Yes | python, r, sas | Not verified | Yes | 5 |
| Database Feasibility Assessment and Attrition Funnel | Yes | Yes | python, r, sas | Not verified | Yes | 4 |
| Days Alive and Out of Hospital | Yes | Yes | python, r, sas | python, r | — | 2 |
| Dechallenge-Rechallenge Causality Assessment | Yes | Yes | — | Not verified | — | 4 |
| define.xml for RWE Submissions | Yes | Yes | python, r, sas | Not verified | Yes | 4 |
| Depletion of Susceptibles | Yes | Yes | — | Not verified | — | 4 |
| Depression Severity, Response, and Remission Outcomes | Yes | Yes | python, r, sas | python, r | — | 2 |
| Descriptive Epidemiology in RWE | Yes | Yes | python, r, sas | Not verified | Yes | 5 |
| Descriptive Statistics | Yes | Yes | python, r, sas | Not verified | Yes | 4 |
| Diagnosis Phenotype Algorithm (1 IP / 2 OP, Time Window) | Yes | Yes | python, r, sas | Not verified | Yes | 4 |
| Diagnosis Position, Type, and Qualifiers on Claims | Yes | Yes | python, r | Not verified | Yes | 5 |
| Diagnostic Accuracy Study | Yes | Yes | python, r, sas | Not verified | Yes | 6 |
| Difference-in-Differences with Staggered Adoption | Yes | Yes | python, r, sas | Not verified | Yes | 5 |
| Direct Standardization | Yes | Yes | python, r, sas | Not verified | Yes | 3 |
| Discounting of Costs and Effects in Economic Evaluation | Yes | Yes | python, r, sas | Not verified | Yes | 4 |
| Discrete-Event Simulation Using RWE Inputs | Yes | Yes | python, r, sas | Not verified | Yes | 4 |
| Disease Registry | Yes | Yes | python, r, sas | Not verified | Yes | 4 |
| Disease Risk Scores | Yes | Yes | python, r, sas | Not verified | Yes | 4 |
| Disproportionality Analysis (PRR, ROR, IC, EBGM) | Yes | Yes | python, r, sas | Not verified | Yes | 7 |
| Distributional Cost-Effectiveness Analysis | Yes | Yes | python, r | Not verified | Yes | 4 |
| Dose-Response and Exposure-Response Modeling in RWE | Yes | Yes | python, r, sas | Not verified | Yes | 4 |
| Dose Titration / Up-Titration to Target Dose | Yes | Yes | python, r, sas | Not verified | Yes | 5 |
| Drug-Drug Interaction Studies | Yes | Yes | python, r, sas | python, r | — | 2 |
| Drug Utilization Study | Yes | Yes | python, r, sas | Not verified | Yes | 3 |
| Dynamic Transmission Modeling for Economic Evaluation | Yes | Yes | python, r | python, r | — | 2 |
| E-value Sensitivity Analysis | Yes | Yes | python, r, sas | Not verified | Yes | 5 |
| ECOG Performance Status Score | Yes | Yes | python, r, sas | Not verified | — | 3 |
| Ecological (Aggregate) Study | Yes | Yes | python, r, sas | Not verified | Yes | 4 |
| Economic Perspective and Opportunity Cost | Yes | Yes | python, r | python, r | — | 2 |
| Effect Modification and Interaction on Additive and Multiplicative Scales | Yes | Yes | python, r, sas | python, r | — | 1 |
| EHR Data Provenance and Source Traceability | Yes | Yes | python | Not verified | Yes | 5 |
| EHR Data Quality Dimensions for RWE | Yes | Yes | python, r | Not verified | Yes | 4 |
| EHR-Embedded Pragmatic Trial with Point-of-Care Randomization | Yes | Yes | python, r, sas | Not verified | Yes | 5 |
| EHR Phenotyping Algorithms | Yes | Yes | python, r, sas | Not verified | Yes | 6 |
| EHR-Based Study | Yes | Yes | python, r, sas | Not verified | Yes | 4 |
| Elixhauser Comorbidity Measures / Index | Yes | Yes | python, r, sas | Not verified | Yes | 4 |
| Empirical Calibration with Negative Controls | Yes | Yes | python, r, sas | Not verified | Yes | 4 |
| Endpoint Adjudication and Chart Review | Yes | Yes | python, r, sas | Not verified | Yes | 5 |
| Equivalence and Non-Inferiority Testing | Yes | Yes | python, r, sas | Not verified | Yes | 3 |
| ERISA and Self-Insured Employer Health Plans in RWE | Yes | Yes | — | Not verified | — | 3 |
| eSource, EDC, and Source Data Verification | Yes | Yes | python, r, sas | Not verified | Yes | 5 |
| Estimand-to-Analysis Traceability | Yes | Yes | python, r | Not verified | Yes | 5 |
| Estimands (ATE/ATT) and Intercurrent Events in RWE | Yes | Yes | python, r, sas | Not verified | Yes | 5 |
| Exact and Penalized-Likelihood Methods for Sparse Data | Yes | Yes | python, r, sas | Not verified | Yes | 4 |
| Exposure Episode Construction | Yes | Yes | python, r, sas | Not verified | Yes | 3 |
| Exposure Lag, Induction, and Latency Windows | Yes | Yes | python, r, sas | Not verified | Yes | 3 |
| External Adjustment and Validation-Substudy Bias Correction | Yes | Yes | python, r, sas | Not verified | Yes | 4 |
| F1 Score, Precision, and Recall | Yes | Yes | python, r, sas | Not verified | Yes | 5 |
| Federated and Distributed Network Analysis | Yes | Yes | python, r, sas | Not verified | Yes | 3 |
| FHIR and Healthcare Interoperability for RWE | Yes | Yes | python, r | Not verified | Yes | 2 |
| Financial Toxicity and Catastrophic Health Expenditure | Yes | Yes | python, r | python, r | — | 2 |
| Firth Penalized Regression | Yes | Yes | python, r, sas | Not verified | Yes | 4 |
| Fisher's Exact Test | Yes | Yes | python, r, sas | Not verified | Yes | 4 |
| Fit-for-Purpose Data Assessment | Yes | Yes | python, r, sas | Not verified | Yes | 5 |
| Flatiron Health Clinico-Genomic Database | Yes | Yes | python, r, sas | Not verified | Yes | 4 |
| Formulary Restriction and Step-Therapy Natural Experiments | Yes | Yes | python, r, sas | Not verified | Yes | 5 |
| Functional Status, Disability, and Symptom-Burden Outcomes | Yes | Yes | python, r, sas | python, r | — | 2 |
| G-Computation and the Parametric G-Formula | Yes | Yes | python, r, sas | Not verified | Yes | 3 |
| G-Estimation of Structural Nested Models | Yes | Yes | python, r, sas | Not verified | Yes | 4 |
| Gamma Distribution for Cost and Skewed Outcomes | Yes | Yes | python, r, sas | Not verified | Yes | 4 |
| GEE Population-Average (Marginal) Models | Yes | Yes | python, r, sas | Not verified | Yes | 5 |
| Generalizability, Transportability, and External Validity | Yes | Yes | python, r, sas | Not verified | Yes | 5 |
| Generalized Linear Models (GLM) | Yes | Yes | python, r, sas | Not verified | Yes | 4 |
| Generalized Propensity Scores for Continuous Exposures | Yes | Yes | python, r, sas | Not verified | Yes | 2 |
| Gleason Score / ISUP Grade Group in Prostate Cancer RWE | Yes | Yes | python, r, sas | Not verified | Yes | 7 |
| Glycemic-Control Outcomes from HbA1c and Glucose Data | Yes | Yes | python, r, sas | python, r | — | 2 |
| Grace Period and Permissible Gap Rules | Yes | Yes | python, r, sas | Not verified | Yes | 4 |
| Group-Based Trajectory Models and Latent Class Analysis | Yes | Yes | python, r, sas | Not verified | Yes | 2 |
| The Hazard Ratio as an Effect Measure | Yes | Yes | python, r, sas | Not verified | Yes | 4 |
| HCPCS Level II Codes and J-Codes | Yes | Yes | python, r | Not verified | Yes | 4 |
| Healthcare Resource Utilization (HCRU) | Yes | Yes | python, r, sas | Not verified | Yes | 4 |
| Health-Economic Model Verification, Calibration, and Validation | Yes | Yes | python, r | python, r | — | 2 |
| Health Economic Modeling Methods Using RWE | Yes | Yes | python, r | Not verified | Yes | 5 |
| Health Equity-Stratified Analysis in RWE | Yes | Yes | python, r, sas | Not verified | Yes | 4 |
| Healthcare Costs (PPPM, PPPY, PMPM) | Yes | Yes | python, python, r, sas | Not verified | Yes | 5 |
| Healthy Adherer Bias | Yes | Yes | python | Not verified | Yes | 4 |
| Healthy User Bias | Yes | Yes | python, r, sas | Not verified | Yes | 4 |
| Heart-Failure Hospitalization and Worsening-Heart-Failure Endpoints | Yes | Yes | python, r, sas | python, r | — | 1 |
| High-Dimensional Propensity Score (hdPS) | Yes | Yes | python, r, sas | Not verified | Yes | 4 |
| HIPAA De-identification and Limited Data Sets | Yes | Yes | python, r | Not verified | Yes | 7 |
| Hospitalization and Transfer Collapse | Yes | Yes | python, r, sas | Not verified | Yes | 3 |
| Health-Related Quality of Life (HRQoL) Measurement | Yes | Yes | python, r, sas | Not verified | Yes | 3 |
| Hybrid Effectiveness-Implementation Studies | Yes | Yes | python, r, sas | python, r | — | 2 |
| ICD-10-CM Diagnosis Codes | Yes | Yes | python, r | Not verified | — | 5 |
| ICD-10-PCS Inpatient Procedure Codes | Yes | Yes | python, r | Not verified | Yes | 5 |
| ICD-9-CM Legacy Diagnosis and Procedure Codes | Yes | Yes | python, r | Not verified | Yes | 5 |
| ICER and Net Monetary Benefit (NMB) | Yes | Yes | python, r, sas | Not verified | Yes | 4 |
| ICSR and Spontaneous Reporting Data | Yes | Yes | — | Not verified | — | 4 |
| Immortal Time Bias Handling | Yes | Yes | python, r, sas | Not verified | Yes | 5 |
| Incidence Rate Calculation | Yes | Yes | python, r, sas | Not verified | Yes | 4 |
| Indirect Standardization, SMR, and SIR | Yes | Yes | python, r, sas | Not verified | Yes | 4 |
| Anchored Indirect Treatment Comparison (Bucher ITC) | Yes | Yes | python, r, sas | Not verified | Yes | 4 |
| Individual-Level Microsimulation and Semi-Markov Models | Yes | Yes | python, r | python, r | — | 3 |
| Inferential Statistics Foundations | Yes | Yes | python, r, sas | Not verified | Yes | 4 |
| Inflammatory-Disease Activity, Remission, and Flare Endpoints | Yes | Yes | python, r, sas | python, r | — | 2 |
| Informative Presence and Observation-Process Bias | Yes | Yes | python, r | Not verified | Yes | 6 |
| Infused Biologic Administration Capture | Yes | Yes | python, r, sas | Not verified | Yes | 3 |
| Inpatient Bridging of Drug Exposure | Yes | Yes | python, r, sas | Not verified | Yes | 4 |
| Instrumental Variables in Pharmacoepidemiology | Yes | Yes | python, r, sas | Not verified | Yes | 4 |
| Insurance, Benefit-Design, and Access-Policy Exposures | Yes | Yes | python, r, sas | python, r | — | 2 |
| Intention-to-Treat (ITT) Analysis in RWE and Target Trials | Yes | Yes | python, r, sas | Not verified | Yes | 5 |
| Interference, Spillover, and Contamination | Yes | Yes | python, r, sas | Not verified | Yes | 4 |
| International Real-World Data Sources | Yes | Yes | python, r | python, r | Yes | 5 |
| Interrupted Time Series (Segmented Regression) | Yes | Yes | python, r, sas | Not verified | Yes | 4 |
| Interval-Censored Survival Analysis | Yes | Yes | r, python, sas | Not verified | Yes | 3 |
| Inverse-Intensity Weighting for Informative Observation | Yes | Yes | python, r, sas | python, r | — | 1 |
| Inverse Probability of Censoring Weighting (IPCW) | Yes | Yes | python, r, sas | Not verified | Yes | 6 |
| Individual Participant Data (IPD) Meta-Analysis | Yes | Yes | python, r, sas | Not verified | Yes | 4 |
| IQVIA PharMetrics Plus | Yes | Yes | python, r, sas | Not verified | Yes | 4 |
| Joint Longitudinal-Survival Models | Yes | Yes | r, python, sas | Not verified | Yes | 2 |
| Kaplan-Meier Estimator | Yes | Yes | python, r, sas | Not verified | Yes | 3 |
| Kidney-Function Decline and Kidney-Failure Endpoints | Yes | Yes | python, r, sas | python, r | — | 2 |
| Kruskal-Wallis Test | Yes | Yes | python, r, sas | Not verified | Yes | 4 |
| Landmark Analysis | Yes | Yes | python, r, sas | Not verified | Yes | 5 |
| Lead-Time and Length Bias in RWE | Yes | Yes | python, r, sas | Not verified | Yes | 8 |
| Left Truncation and Delayed Entry | Yes | Yes | python, r, sas | Not verified | Yes | 4 |
| Diagnostic Likelihood Ratios | Yes | Yes | python, r, sas | Not verified | Yes | 5 |
| Linked Multi-Database Study (Record Linkage) | Yes | Yes | python, r, sas | Not verified | Yes | 4 |
| LLM-Assisted Data Abstraction and Evidence Work in RWE | Yes | Yes | python, r | Not verified | Yes | 3 |
| Log-Normal Distribution and the Retransformation Problem | Yes | Yes | python, r, sas | Not verified | Yes | 3 |
| Log-Rank Test | Yes | Yes | python, r, sas | Not verified | Yes | 3 |
| Logistic Regression for Binary Outcomes | Yes | Yes | python, r, sas | Not verified | Yes | 5 |
| LOINC Laboratory and Observation Codes | Yes | Yes | python, r | Not verified | Yes | 6 |
| Longitudinal Doubly Robust Estimation and LTMLE | Yes | Yes | python, r, sas | python, r | — | 2 |
| Longitudinal Outcomes Modeling | Yes | Yes | python, r, sas | Not verified | Yes | 4 |
| MAIC and STC: Population-Adjusted Indirect Comparisons | Yes | Yes | python, r, sas | Not verified | Yes | 4 |
| Major Adverse Cardiovascular Events (MACE) | Yes | Yes | python, r, sas | Not verified | — | 3 |
| Mann-Whitney U Test (Wilcoxon Rank-Sum) | Yes | Yes | python, r, sas | Not verified | Yes | 3 |
| Marginal Effects and Interpretation of Inferential Statistics | Yes | Yes | python, r, sas | Not verified | Yes | 5 |
| Marginal Structural Models and G-Methods | Yes | Yes | python, r, sas | Not verified | Yes | 5 |
| MarketScan (Truven/Merative) | Yes | Yes | python, r, sas | Not verified | Yes | 4 |
| Markov Transition Probabilities from Real-World Data | Yes | Yes | python, r, sas | Not verified | Yes | 5 |
| Maximum Likelihood Estimation | Yes | Yes | python, r, sas | Not verified | Yes | 2 |
| MaxSPRT and Sequential Safety Surveillance | Yes | Yes | python, r, sas | Not verified | Yes | 2 |
| Multi-Criteria Decision Analysis (MCDA) | Yes | Yes | python, r | Not verified | Yes | 4 |
| McNemar's Test for Paired Proportions | Yes | Yes | python, r, sas | Not verified | Yes | 2 |
| Meaningful Change and Responder Definitions | Yes | Yes | python, r, sas | python, r | — | 2 |
| Measurement Invariance, Response Shift, and Collection-Mode Comparability | Yes | Yes | python, r, sas | python, r | — | 3 |
| Code Crosswalks and Mappings Between Coding Systems | Yes | Yes | python, r | Not verified | Yes | 7 |
| Medicare Entitlement, LIS, Dual Eligibility, and Parts A-D | Yes | Yes | — | Not verified | — | 6 |
| Medicare FFS vs Medicare Advantage vs Commercial Claims Differences | Yes | Yes | python, r, sas | Not verified | Yes | 5 |
| Medication Adherence in RWE | Yes | Yes | python, r, sas | Not verified | Yes | 4 |
| Medication Order, Dispensing, Administration, and Reconciliation | Yes | Yes | python, r, sas | Not verified | Yes | 10 |
| Meta-Analysis of Observational Studies | Yes | Yes | python, r, sas | Not verified | Yes | 4 |
| Meta-Analysis of Randomized Controlled Trials | Yes | Yes | python, r, sas | Not verified | Yes | 5 |
| Microcosting and Resource-Use Valuation | Yes | Yes | python, r | python, r | — | 2 |
| Misclassification Bias Correction | Yes | Yes | python, r, sas | Not verified | Yes | 4 |
| Missing-Data Mechanisms and Analysis | Yes | Yes | python, r, sas | python, r | — | 1 |
| Missing Data Pattern Table | Yes | Yes | python, r, sas | Not verified | Yes | 6 |
| Missing Data, Trimming, and Winsorization in RWE | Yes | Yes | python, r, sas | Not verified | Yes | 4 |
| Mixed-Effects (Random-Effects) Models for Longitudinal RWE | Yes | Yes | python, r, sas | Not verified | Yes | 4 |
| Mixed-Methods Study | Yes | Yes | python, r, sas | Not verified | Yes | 4 |
| Mixed Model for Repeated Measures (MMRM) in RWE | Yes | Yes | python, r, sas | Not verified | Yes | 5 |
| Mortality Source Hierarchy | Yes | Yes | python, r, sas | Not verified | Yes | 4 |
| Mother-Infant Linkage | Yes | Yes | python, r, sas | Not verified | Yes | 3 |
| Medication Possession Ratio (MPR) | Yes | Yes | python, r, sas | Not verified | Yes | 5 |
| MS-DRG (Medicare Severity Diagnosis-Related Groups) | Yes | Yes | python, r | Not verified | Yes | 4 |
| Multi-Database / Distributed Network Study | Yes | Yes | python, r, sas | Not verified | Yes | 5 |
| Multi-State Models | Yes | Yes | python, r, sas | Not verified | Yes | 3 |
| Multilevel Network Meta-Regression | Yes | Yes | python, r, sas | python, r | — | 1 |
| Multiple Imputation for Longitudinal RWE | Yes | Yes | python, r, sas | Not verified | Yes | 4 |
| Multiplicity and Multiple Comparisons | Yes | Yes | python, r, sas | Not verified | Yes | 2 |
| Natural-History Studies | Yes | Yes | python, r, sas | python, r | — | 2 |
| NCI Comorbidity Index for SEER-Medicare | Yes | Yes | — | Not verified | — | 4 |
| NCPDP Pharmacy Claim Fields | Yes | Yes | python, r | Not verified | — | 5 |
| NDC (National Drug Code) | Yes | Yes | python, r | Not verified | — | 6 |
| Negative Binomial Distribution for Overdispersed Counts | Yes | Yes | python, r, sas | Not verified | Yes | 4 |
| Negative Control Exposures | Yes | Yes | python, r, sas | Not verified | Yes | 4 |
| Negative Control Outcomes | Yes | Yes | python, r, sas | Not verified | Yes | 4 |
| Nested Case-Control Design | Yes | Yes | python, r, sas | Not verified | Yes | 4 |
| Network Meta-Analysis | Yes | Yes | r, python, sas | Not verified | Yes | 6 |
| New-User (Incident-User) Design | Yes | Yes | python, r, sas | Not verified | Yes | 5 |
| NLP for Clinical Text in RWE | Yes | Yes | python, r | Not verified | Yes | 3 |
| Normal Distribution and the Central Limit Theorem | Yes | Yes | python, r, sas | python, r | — | 3 |
| NPI (National Provider Identifier) | Yes | Yes | python, r | Not verified | Yes | 4 |
| Number Needed to Treat (and Number Needed to Harm) | Yes | Yes | python, r, sas | Not verified | Yes | 5 |
| Ordinary Least Squares (OLS) Linear Regression | Yes | Yes | python, r, sas | Not verified | Yes | 5 |
| OMOP CDM Method Patterns for RWE | Yes | Yes | python, r, sas | Not verified | Yes | 6 |
| OMOP Concept Set Development | Yes | Yes | python, r, sas | Not verified | Yes | 4 |
| OMOP CONDITION_OCCURRENCE and CONDITION_ERA | Yes | Yes | python, r, sas | Not verified | Yes | 4 |
| OMOP Drug Exposure and Drug Era | Yes | Yes | python, r, sas | Not verified | Yes | 3 |
| OMOP Observation Period | Yes | Yes | python, r, sas | Not verified | Yes | 4 |
| OMOP Standardized Vocabularies (OHDSI/Athena) | Yes | Yes | python, r | Not verified | Yes | 4 |
| OMOP Time-at-Risk and Cohort Exit | Yes | Yes | python, r, sas | Not verified | Yes | 4 |
| One-Way ANOVA | Yes | Yes | python, r, sas | Not verified | Yes | 4 |
| Optum Clinformatics Data Mart | Yes | Yes | python, r, sas | Not verified | Yes | 4 |
| Ordinal and Multinomial Regression | Yes | Yes | python, r, sas | Not verified | Yes | 9 |
| Outcome Algorithm Construction | Yes | Yes | python, r, sas | Not verified | Yes | 5 |
| Overlap Weights and Modern Propensity Weighting | Yes | Yes | python, r, sas | Not verified | Yes | 4 |
| Paired t-Test | Yes | Yes | python, r, sas | Not verified | Yes | 4 |
| Parametric and Nonparametric Tests | Yes | Yes | python, r, sas | Not verified | Yes | 4 |
| Partitioned Survival Model | Yes | Yes | python, r | Not verified | Yes | 4 |
| Imposed Post-Authorisation Safety Study (PASS) | Yes | Yes | python, r, sas | Not verified | Yes | 4 |
| Voluntary (Non-Imposed) Post-Authorisation Safety Study | Yes | Yes | python, r, sas | Not verified | Yes | 2 |
| Patient-Generated Health Data for RWE | Yes | Yes | python | Not verified | Yes | 4 |
| Proportion of Days Covered (PDC) | Yes | Yes | python, r, sas | Not verified | Yes | 5 |
| Pearson and Spearman Correlation | Yes | Yes | python, r, sas | Not verified | Yes | 4 |
| Pediatric Dose Normalization | Yes | Yes | python, r, sas | Not verified | Yes | 3 |
| Pediatric Growth and Development Endpoints in RWE | Yes | Yes | python, r, sas | Not verified | Yes | 4 |
| Per-Protocol Analysis in RWE and Target Trials | Yes | Yes | python, r, sas | Not verified | Yes | 5 |
| Persistence Time to Discontinuation | Yes | Yes | python, r, sas | Not verified | Yes | 5 |
| Person-Time Denominator Construction | Yes | Yes | python, r, sas | Not verified | Yes | 4 |
| Pharmacovigilance Risk Management Plan and Safety Specification | Yes | Yes | — | Not verified | Yes | 4 |
| PICOTS Framework for RWE | Yes | Yes | python | Not verified | Yes | 4 |
| Place of Service (POS) Codes | Yes | Yes | python, r | Not verified | Yes | 5 |
| Plain-Language Summaries of Evidence | Yes | Yes | python, r | Not verified | Yes | 3 |
| Poisson Distribution for Counts and Rates | Yes | Yes | python, r, sas | python, r | — | 3 |
| Poisson and Negative Binomial Count Models for HCRU and Utilization | Yes | Yes | python, r, sas | Not verified | Yes | 5 |
| Polypharmacy, Regimen Complexity, and Pharmacologic Burden | Yes | Yes | python, r, sas | python, r | — | 2 |
| Positive and Negative Predictive Value | Yes | Yes | python, r, sas | Not verified | Yes | 5 |
| Pragmatic Trial | Yes | Yes | python, r, sas | Not verified | Yes | 5 |
| Prediction Model Validation and Recalibration in RWE | Yes | Yes | python, r, sas | Not verified | Yes | 6 |
| Predictive and Causal ML Models | Yes | Yes | python, r, sas | Not verified | Yes | 5 |
| Patient Preference Study (DCE / BWS) | Yes | Yes | python, r, sas | Not verified | Yes | 4 |
| Pregnancy Exposure Window | Yes | Yes | python, r, sas | Not verified | Yes | 4 |
| Pregnancy Exposure Registry | Yes | Yes | python, r, sas | Not verified | Yes | 4 |
| Prescription Sequence Symmetry Analysis (PSSA) | Yes | Yes | python, r, sas | Not verified | Yes | 4 |
| Prevalence (Point, Period, and Annual) in RWE | Yes | Yes | python, r, sas | Not verified | Yes | 4 |
| Prevalent New-User Design | Yes | Yes | python, r, sas | Not verified | Yes | 4 |
| Prevalent User Bias | Yes | Yes | python, r, sas | Not verified | Yes | 5 |
| Primary Non-Adherence and Treatment Initiation | Yes | Yes | python, r, sas | Not verified | Yes | 5 |
| Principal Stratification and Survivor Average Causal Effect | Yes | Yes | python, r, sas | Not verified | Yes | 11 |
| PRO Instrument Development | Yes | Yes | python, r, sas | Not verified | Yes | 5 |
| Patient-Reported Outcomes in Real-World Settings | Yes | Yes | python, r, sas | Not verified | Yes | 5 |
| PRO Instrument Validation | Yes | Yes | python, r, sas | Not verified | Yes | 4 |
| Probabilistic Sensitivity Analysis (PSA) for Health-Economic Models | Yes | Yes | python, r | Not verified | Yes | 4 |
| Procedure Identification and Measurement in Claims and EHR | Yes | Yes | python, r, sas | Not verified | Yes | 3 |
| Procedure, Device, and Radiotherapy Exposure Definitions | Yes | Yes | python, r, sas | python, r | — | 2 |
| Product/Exposure Registry | Yes | Yes | python, r, sas | Not verified | Yes | 4 |
| Propensity Score Calibration | Yes | Yes | python, r, sas | Not verified | Yes | 4 |
| Propensity Score Methods (PSM, IPTW) | Yes | Yes | python, r, sas | Not verified | Yes | 6 |
| Protopathic Bias and Reverse Causation | Yes | Yes | python, r | Not verified | Yes | 3 |
| Proximal Causal Inference | Yes | Yes | python, r, sas | python, r | — | 1 |
| QALY Accrual from Repeated Utility Measurements | Yes | Yes | python, r | python, r | — | 2 |
| QALY Utility Mapping (Crosswalking to Health-State Utilities) | Yes | Yes | python, r, sas | Not verified | Yes | 3 |
| QC, Double Programming, and Reproducible Analysis | Yes | Yes | python, r, sas | Not verified | Yes | 2 |
| Ethnographic / Observational Qualitative Study | Yes | Yes | python, r | Not verified | Yes | 5 |
| Qualitative Interview Study | Yes | Yes | python, r | Not verified | Yes | 5 |
| Qualitative Evidence Synthesis | Yes | Yes | python, r | Not verified | Yes | 5 |
| Quantile Regression | Yes | Yes | python, r, sas | Not verified | Yes | 3 |
| Quantitative Bias Analysis Toolkit | Yes | Yes | python, r, sas | Not verified | Yes | 4 |
| Randomized Crossover and N-of-1 Trials | Yes | Yes | python, r, sas | python, r | — | 1 |
| Rare Disease External Controls | Yes | Yes | python, r, sas | Not verified | Yes | 5 |
| Benchmarking Target-Trial Emulations Against Randomized Trials | Yes | Yes | python, r, sas | Not verified | Yes | 3 |
| Real-World Overall Survival | Yes | Yes | python, r, sas | python, r | — | 2 |
| Real-World Progression and rwPFS | Yes | Yes | python, r, sas | Not verified | Yes | 4 |
| Real-World Tumor Response and Duration of Response | Yes | Yes | python, r, sas | python, r | — | 2 |
| Recurrent Events Analysis | Yes | Yes | python, python, r, sas | Not verified | Yes | 4 |
| Registry-Based Randomized Controlled Trial (RRCT) | Yes | Yes | python, r, sas | Not verified | Yes | 5 |
| Regression Diagnostics and Model Checking | Yes | Yes | python, r, sas | Not verified | Yes | 4 |
| Regression Discontinuity Design | Yes | Yes | python, r, sas | Not verified | Yes | 4 |
| Regularized Regression: LASSO, Ridge, and Elastic Net | Yes | Yes | python, r | python, r | — | 2 |
| Regulatory and HTA Readiness for RWE | Yes | Yes | python, r | Not verified | Yes | 5 |
| Relative and Net Survival | Yes | Yes | python, r, sas | Not verified | Yes | 4 |
| Restart, Rechallenge, and New-Episode Rules | Yes | Yes | python, r, sas | Not verified | Yes | 4 |
| Restricted Mean Survival Time (RMST) | Yes | Yes | python, r, sas | Not verified | Yes | 5 |
| Revenue (Center) Codes | Yes | Yes | python, r | Not verified | Yes | 4 |
| Risk Evaluation Study (Post-Authorization Safety / Active Surveillance) | Yes | Yes | python, r, sas | Not verified | Yes | 4 |
| Risk Minimization Effectiveness Studies | Yes | Yes | python, r, sas | Not verified | Yes | 5 |
| Risk Ratio and Risk Difference | Yes | Yes | python, r, sas | Not verified | Yes | 4 |
| ROC Curves, AUC, and the c-statistic | Yes | Yes | python, r, sas | Not verified | Yes | 5 |
| Route-of-Administration Differences in RWE | Yes | Yes | python, r, sas | Not verified | Yes | 3 |
| RxNorm Drug Terminology | Yes | Yes | — | Not verified | — | 2 |
| Safety Signal Case Definition | Yes | Yes | python, r, sas | Not verified | Yes | 4 |
| Sample Size, Power, and Precision in RWE | Yes | Yes | python, r, sas | python, r | — | 4 |
| Scenario Analysis and Deterministic Sensitivity Analysis (DSA) | Yes | Yes | python, r, sas | Not verified | Yes | 4 |
| Scoping Review | Yes | Yes | python, r, sas | Not verified | Yes | 4 |
| Social Determinants of Health (SDoH) in RWE | Yes | Yes | python, r, sas | Not verified | Yes | 5 |
| SDTM for Real-World Data Submissions | Yes | Yes | python, r, sas | Not verified | Yes | 4 |
| Secondary Medication Non-Adherence | Yes | Yes | python, r, sas | Not verified | Yes | 4 |
| SEER-Medicare Linked Data | Yes | Yes | python, r, sas | Not verified | Yes | 4 |
| Selection Bias Sensitivity Analysis | Yes | Yes | python, r, sas | Not verified | Yes | 5 |
| Self-Controlled Case Series (SCCS) | Yes | Yes | python, r, sas | Not verified | Yes | 4 |
| Self-Controlled Risk Interval (SCRI) Design | Yes | Yes | python, r, sas | Not verified | Yes | 5 |
| Sensitivity and Specificity | Yes | Yes | python, r, sas | Not verified | Yes | 5 |
| Sequential Target Trial Emulation | Yes | Yes | — | Not verified | — | 4 |
| Signal Detection (Disproportionality Analysis) | Yes | Yes | python, r, sas | Not verified | Yes | 4 |
| Signal Validation, Prioritization, and Evaluation | Yes | Yes | — | Not verified | Yes | 5 |
| Single-Arm Trial with External (Historical) Control | Yes | Yes | python, r, sas | Not verified | Yes | 5 |
| SMART Designs and Adaptive Treatment Strategies | Yes | Yes | python, r, sas | python, r | — | 2 |
| SNDS (Systeme National des Donnees de Sante) | Yes | Yes | python, r, sas | Not verified | Yes | 4 |
| SNOMED CT Clinical Terminology | Yes | Yes | python, r | Not verified | Yes | 4 |
| Special Populations RWE Methods | Yes | Yes | python, r, sas | Not verified | Yes | 4 |
| Splines and Flexible Functional Forms | Yes | Yes | python, r, sas | Not verified | Yes | 3 |
| Spontaneous Reporting Biases | Yes | Yes | — | Not verified | Yes | 5 |
| Cox Regression with Time-Dependent Covariates | Yes | Yes | python, r, sas | Not verified | Yes | 5 |
| Stepped-Wedge Cluster Randomized Trials | Yes | Yes | python, r, sas | python, r | — | 1 |
| Stockpiling and Carryover Rules | Yes | Yes | python, r, sas | Not verified | Yes | 4 |
| Structural Uncertainty in Economic Models | Yes | Yes | python, r | python, r | — | 3 |
| Study Protocol and SAP Elements for RWE | Yes | Yes | other | Not verified | Yes | 5 |
| Study Time Windows: Baseline, Observation, and Outcome Windows | Yes | Yes | python, r | Not verified | Yes | 4 |
| Subgroup Analysis and Heterogeneity of Treatment Effect | Yes | Yes | python, r, sas | Not verified | — | 3 |
| Subscriber ID vs Member ID in Claims Data | Yes | Yes | — | Not verified | — | 4 |
| SUCRA in Network Meta-Analysis | Yes | Yes | python, r, sas | Not verified | Yes | 5 |
| Surrogate Endpoint Validation | Yes | Yes | python, r, sas | Not verified | Yes | 5 |
| Surveillance and Detection Bias | Yes | Yes | python, r | Not verified | Yes | 2 |
| Survey Weights and Complex Sampling | Yes | Yes | python, r, sas | Not verified | Yes | 4 |
| Survival Extrapolation for HTA Using RWE | Yes | Yes | python, r, sas | Not verified | Yes | 4 |
| Switch, Add-On, and Augmentation Rules | Yes | Yes | python, r, sas | Not verified | Yes | 4 |
| Synthetic Control Method | Yes | Yes | python, r, sas | Not verified | Yes | 4 |
| Systematic Review | Yes | Yes | python, r, sas | Not verified | Yes | 6 |
| Target Trial Emulation | Yes | Yes | python | Not verified | Yes | 4 |
| Targeted Maximum Likelihood Estimation (TMLE) | Yes | Yes | python, r, sas | Not verified | Yes | 5 |
| Test-Negative Design | Yes | Yes | python, r, sas | Not verified | Yes | 4 |
| Therapeutic-Area-Specific RWE Challenges — Oncology | Yes | Yes | python, r | Not verified | Yes | 5 |
| Time-Updated Exposures and Cumulative Dose | Yes | Yes | python, r, sas | Not verified | Yes | 5 |
| Time Zero (Index Date) Alignment | Yes | Yes | python, r, sas | Not verified | Yes | 5 |
| Tipping Point Analysis | Yes | Yes | python, r, sas | Not verified | Yes | 6 |
| Tables, Listings, and Figures (TLFs) for RWE Submissions | Yes | Yes | python, r, sas | Not verified | Yes | 4 |
| Tokenization and Privacy-Preserving Record Linkage | Yes | Yes | python, r | Not verified | Yes | 4 |
| Treatment Failure and Non-Response in RWE | Yes | Yes | python, r, sas | Not verified | Yes | 9 |
| Treatment Patterns and Lines of Therapy (LOT) | Yes | Yes | python, r, sas | Not verified | Yes | 4 |
| Treatment-Switching Adjustment for HTA | Yes | Yes | python, r, sas | python, r | — | 2 |
| Tree-Based Ensembles: Random Forests and Gradient Boosting | Yes | Yes | python, r | python, r | — | 2 |
| Tree-Based Scan Statistics (TreeScan) | Yes | Yes | python, r, sas | Not verified | Yes | 3 |
| Economic Evaluation Alongside Clinical Studies | Yes | Yes | python, r | python, r | — | 3 |
| Truveta | Yes | Yes | python, r, sas | Not verified | Yes | 4 |
| Two-Part and Hurdle Models for Semicontinuous Costs | Yes | Yes | python, r, sas | Not verified | Yes | 3 |
| Two-Phase Validation Sampling Design | Yes | Yes | python, r, sas | Not verified | Yes | 4 |
| Two-Sample (Student's) t-Test | Yes | Yes | python, r, sas | Not verified | Yes | 4 |
| UB-04 / 837I Institutional Claim Fields | Yes | Yes | python, r | Not verified | Yes | 7 |
| Umbrella Review (Review of Systematic Reviews) | Yes | Yes | python, r, sas | Not verified | Yes | 5 |
| Unmeasured Confounding Probabilistic Bias Analysis | Yes | Yes | python, r, sas | Not verified | Yes | 5 |
| Utility Value Sets and Health-State Decrements | Yes | Yes | python, r | python, r | — | 3 |
| Value of Information Analysis (EVPI, EVPPI, EVSI) | Yes | Yes | python, r | Not verified | Yes | 4 |
| Visualizations and Diagrams in Pharmacoepidemiology and RWE | Yes | Yes | python, python, r, sas | Not verified | Yes | 4 |
| Washout / Clean / Lookback Period | Yes | Yes | python, r, sas | Not verified | Yes | 6 |
| Wearable Device-Generated Data for RWE | Yes | Yes | python | Not verified | Yes | 5 |
| Weibull Distribution for Time-to-Event Data | Yes | Yes | python, r, sas | Not verified | Yes | 4 |
| Weight Truncation and Population Trimming | Yes | Yes | python, r, sas | python, r | — | 1 |
| Welch's t-Test (Unequal Variances) | Yes | Yes | python, r, sas | Not verified | Yes | 3 |
| Wilcoxon Signed-Rank Test | Yes | Yes | python, r, sas | Not verified | Yes | 5 |
| Win Ratio and Generalized Pairwise Comparisons | Yes | Yes | python, r, sas | Not verified | Yes | 3 |
| Work Productivity and Activity Impairment (WPAI) | Yes | Yes | python, r, sas | Not verified | Yes | 3 |
| Zero-Inflated and Hurdle Count Models | Yes | Yes | python, r, sas | Not verified | Yes | 4 |