User Interface | Observational Data | Weight Models | Censoring due to treatment switching | Other informative censoring | Calculate Weights | Specify Outcome Model | Expand Trials | Set Expansion Options | Create Sequence of Trials Data | Sample or Load from Expanded Data | Fit Marginal Structural Model | Inference | Flowchart

Required Data | All-in-one analysis | Flexible Analysis

Loading R packages | Illustration using example data | Using bootstrap to calculate standard errors | Visualizing effect estimates with forest plot

Loading R packages | Introduction | Unanchored case | Anchored case

Loading R packages | Illustration using example data | Using bootstrap to calculate standard errors | Visualizing effect estimates with forest plot | References

Loading R packages | Illustration using example data | Using bootstrap to calculate standard errors

Loading R packages | Illustration using example data | Using bootstrap to calculate standard errors | References

Loading R packages | Introduction | Unanchored case | Anchored case | References

Loading R packages | Preprocessing | Preprocessing IPD | Preprocessing aggregate data | How _SD prefix is handled | How _MEDIAN prefix is handled | Centering IPD | Calculating weights | References

Statistical theory behind MAIC | References

Introduction | Model fitters | Classes and Slots | User Constructor | Methods | fit_weights_model | fit_outcome_model | predict | Data Stores | show | save_expanded_data | read_expanded_data | sample_expanded_data