What is causaloptim? | Background | Efficiency matters! | How does causaloptim work? | Response Function Variables | Parameters and their Relationships | Linear Programming | Vertex Enumeration | References

Maximum of parameters | References

Methods | Introduction | Notation | Estimands | Principal Surrogate Criteria | Augmentation and Assumptions | BIP | CPV | BSM | Estimated Maximum Likelihood | Package features | Package information | Installation | Usage | The "psdesign" object | Integration models | Risk models and likelihoods | Estimation and Bootstrap | Do it all at once | Plots and summaries | Summary and Conclusion | Appendix | Additional examples | Plot both types of CI | Plot with ggplot2 | Case-control design | Survival outcome | Continuous outcome | Categorical S | Pseudo-score | Bug reports | References

General implementation

Introduction and context | Regression standardization | Improving robustness by modeling the exposure | In practice | Other outcome types

confounded exposure and outcome | multiple instruments | measurement error in the outcome

Colon cancer treatment and time to death (standard survival) | Models for survival | Multiple time points (New in version 1.2.0) | Censoring assumptions | Monoclonal gammopathy data (Competing risks) | Relative survival/net survival | Case cohort sampling | References

Introduction | About ROC Curves | Motivation | Usage | Shiny application | Installation and loading | Quick start | Command line basic usage | The Roc Geom | Confidence regions and the Rocci Geom | Interactive Plots | Multiple ROC curves | New Features | AUC tables | Custom labels and locations | Increasing parameter | Advanced options | Themes and annotations | Other estimation methods | Acknowledgements

Specifying the causal effect of interest | Specifying constraints (optional) | Computation of the bounds

R code and results | Stata code and results | SAS code and results

Pseudo observation computation modules | Custom computation functions | Example: Parametric pseudo observations | Example 2: infinitesimal jackknife | Conclusion

Introduction | Analysis | References

Introduction | Usage | Resources | Learn more about rmarkdown: http://rmarkdown.rstudio.com