Links[{"label":"mets.html","section":"","type":"","url":"https://cran.r-project.org/web/packages/mets/refman/mets.html"},{"label":"mets.pdf","section":"","type":"","url":"https://cran.r-project.org/web/packages/mets/mets.pdf"},{"label":"dUtility data-frame manipulations","section":"","type":"","url":"https://cran.r-project.org/web/packages/mets/vignettes/basic-dutils.html"},{"label":"source","section":"","type":"","url":"https://cran.r-project.org/web/packages/mets/vignettes/basic-dutils.Rmd"},{"label":"R code","section":"","type":"","url":"https://cran.r-project.org/web/packages/mets/vignettes/basic-dutils.R"},{"label":"Analysis of multivariate binomial data: family analysis","section":"","type":"","url":"https://cran.r-project.org/web/packages/mets/vignettes/binomial-family.html"},{"label":"source","section":"","type":"","url":"https://cran.r-project.org/web/packages/mets/vignettes/binomial-family.Rmd"},{"label":"R code","section":"","type":"","url":"https://cran.r-project.org/web/packages/mets/vignettes/binomial-family.R"},{"label":"Analysis of bivariate binomial data: Twin analysis","section":"","type":"","url":"https://cran.r-project.org/web/packages/mets/vignettes/binomial-twin.html"},{"label":"source","section":"","type":"","url":"https://cran.r-project.org/web/packages/mets/vignettes/binomial-twin.Rmd"},{"label":"R code","section":"","type":"","url":"https://cran.r-project.org/web/packages/mets/vignettes/binomial-twin.R"},{"label":"Average treatment effect (ATE) for Competing risks and binary outcomes","section":"","type":"","url":"https://cran.r-project.org/web/packages/mets/vignettes/binreg-ate.html"},{"label":"source","section":"","type":"","url":"https://cran.r-project.org/web/packages/mets/vignettes/binreg-ate.Rmd"},{"label":"R code","section":"","type":"","url":"https://cran.r-project.org/web/packages/mets/vignettes/binreg-ate.R"},{"label":"Two-Stage Randomization for Competing risks and Survival outcomes","section":"","type":"","url":"https://cran.r-project.org/web/packages/mets/vignettes/binreg-TRS.html"},{"label":"source","section":"","type":"","url":"https://cran.r-project.org/web/packages/mets/vignettes/binreg-TRS.Rmd"},{"label":"R code","section":"","type":"","url":"https://cran.r-project.org/web/packages/mets/vignettes/binreg-TRS.R"},{"label":"Binomial Regression for Survival and Competing Risks Data","section":"","type":"","url":"https://cran.r-project.org/web/packages/mets/vignettes/binreg.html"},{"label":"source","section":"","type":"","url":"https://cran.r-project.org/web/packages/mets/vignettes/binreg.Rmd"},{"label":"R code","section":"","type":"","url":"https://cran.r-project.org/web/packages/mets/vignettes/binreg.R"}]
TextReference manual: mets.html , mets.pdf Vignettes: dUtility data-frame manipulations ( source , R code ) Analysis of multivariate binomial data: family analysis ( source , R code ) Analysis of bivariate binomial data: Twin analysis ( source , R code ) Average treatment effect (ATE) for Competing risks and binary outcomes ( source , R code ) Two-Stage Randomization for Competing risks and Survival outcomes ( source , R code ) Binomial Regression for Survival and Competing Risks Data ( source , R code ) Cumulative Incidence Regression ( source , R code ) Cooking survival data, 5 minutes recipes ( source , R code ) IPCW Cumulative Cost ( source , R code ) GEE cluster standard errors and predictions for glm objects ( source , R code ) Haplotype Discrete Survival Models ( source , R code ) Discrete Interval Censored Survival Models ( source , R code ) Marginal modelling of clustered survival data ( source , R code ) Mediation Analysis for survival data ( source , R code ) Randomization for Cox Type rate models ( source , R code ) Twin models ( source , R code ) Recurrent events ( source , R code ) Average treatment effect (ATE) for Restricted mean survival and years lost of Competing risks ( source , R code ) Average treatment effect (ATE) based on the Cox and Fine-Gray model ( source , R code ) A practical guide to Human Genetics with Lifetime Data ( source , R code ) Analysis of multivariate survival data ( source , R code ) While Alive estimands for Recurrent Events ( source , R code )