Software

As part of my research I have developed a range of software packages in Stata and R. More details, including tutorials, can be found on the package-specific pages:

merlin ~ mixed effects regression for linear and non-linear models
Tutorials in Stata, Stata version history (stable release), Stata version history (development release)


multistate ~ multi-state survival analysis
Tutorials in Stata, Stata version history (stable release), Stata version history (development release)


survsim ~ simulation of simple and complex survival data
Tutorials in Stata, Stata version history (stable release), Stata version history (development release)


stmixed ~ multilevel parametric survival models
Stata version history (stable release), Stata version history (development release)


staft ~ flexible parametric accelerated failure time models
Stata version history (stable release), Github repo.


sankey ~ Sankey graphs in Stata using Python
Stata version history (stable release)


stjm ~ joint models of longitudinal and survival data


stgenreg ~ general parametric survival models


stmix ~ two-component mixture parametric survival models


extfunnel ~ extended funnel plots for meta-analysis


metapow ~ simulation-based sample size calculations for designing trials based on an existing meta-analysis


Recent Posts

More Posts

merlin version 2 is released in Stata

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How to define your own transition matrix for use with the multistate package in Stata

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How to simulate joint longitudinal-survival data using survsim in Stata

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survsim can now simulate survival data from a semi-Markov or multiple timescale multi-state model, and is about 70% faster

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survsim can now simulate survival data from a Markov multi-state model, defined by general transition-specific hazard functions

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