Introduction | Mapping raw columns and times | Validation without modification | Standardization and audit attributes

PDRobust | 1. Load the built-in package data | 2. Define roles and analysis settings with Mapping() | 3. Validate the raw data with DataCheck() | 4. Standardize the panel with DataStandard() | Imperfect dataset | 5.1 Prediction functions and Diagnostics | Propensity score model | Principal score model | Outcome model | Principal-stratum profiling with QR() | Treatment-group odds ratios | 5.2 Heterogeneous treatment effect

Columns in the itemized checks

Introduction | Propensity score, covariate balance | Principal score, covariate-specific balance statistic | Outcome-noise sensitivity analysis | Principal-stratum summaries | Treatment-specific survial odds ratios

Introduction | Time-varying heterogeneous treatment effects | Pooled heterogeneous treatment effects

Introduction | Propensity score model | Principal score model | Outcome prediction model

Choose treatment coding before analysis | Report the intended effect direction | Interpret the working effect model | Assumptions, numerical safeguards, and scope

Introduction | Propensity score, covariate balance | Principal score, covariate-specific balance statistic | Outcome-noise sensitivity analysis | Principal-stratum summaries | Treatment-specific survial odds ratios

Choose treatment coding before analysis | Report the intended effect direction | Interpret the working effect model | Assumptions, numerical safeguards, and scope

PDRobust | 1. Load the built-in package data | 2. Define roles and analysis settings with Mapping() | 3. Validate the raw data with DataCheck() | 4. Standardize the panel with DataStandard() | Imperfect dataset | 5.1 Prediction functions and Diagnostics | Propensity score model | Principal score model | Outcome model | Principal-stratum profiling with QR() | Treatment-group odds ratios | 5.2 Heterogeneous treatment effect

Introduction | Mapping raw columns and times | Validation without modification | Standardization and audit attributes

Columns in the itemized checks

Introduction | Time-varying heterogeneous treatment effects | Pooled heterogeneous treatment effects

Introduction | Propensity score model | Principal score model | Outcome prediction model