Recurrent eventsUpdated 2 days ago

Klaus Holst & Thomas Scheike

Rendered from recurrent-events.Rmd in mets 1.3.5.
WIP: Cooking survival data, 5 minute recipesUpdated 3 days ago

Klaus K. Holst

Rendered from cooking-survival-data.Rmd in mets 1.3.5.
Marginal modelling of clustered survival dataUpdated 3 days ago

Klaus Holst & Thomas Scheike

Rendered from marginal-cox.Rmd in mets 1.3.5.
A practical guide to Human Genetics with Lifetime DataUpdated 29 days ago

Klaus Holst & Thomas Scheike

Rendered from time-to-event-family-studies-arev.Rmd in mets 1.3.5.
Average treatment effect (ATE) for Restricted mean survival and years lost of Competing risksUpdated 1 months ago

Klaus Holst & Thomas Scheike

Rendered from rmst-ate.Rmd in mets 1.3.5.
Binomial Regression for Survival and Competing Risks DataUpdated 1 months ago

Klaus Holst & Thomas Scheike

Rendered from binreg.Rmd in mets 1.3.5.
Cumulative Incidence RegressionUpdated 1 months ago

Klaus Holst & Thomas Scheike

Rendered from cifreg.Rmd in mets 1.3.5.
Average Treatment EffectsUpdated 2 months ago

Klaus Kähler Holst

Rendered from ate.Rmd in targeted 0.6.
Conditional Average Treatment Effects (cate)Updated 2 months ago

Klaus Kähler Holst

Rendered from cate.Rmd in targeted 0.6.
Estimating a relative risk or risk difference with a binary exposureUpdated 2 months ago

Klaus Kähler Holst

Rendered from riskregression.Rmd in targeted 0.6.
targeted::ode_solve: Solving Ordinary Differential EquationsUpdated 2 months ago

Klaus Kähler Holst

Rendered from ode.Rmd in targeted 0.6.
While Alive estimands for Recurrent EventsUpdated 2 months ago

Klaus Holst & Thomas Scheike

Rendered from while-alive.Rmd in mets 1.3.5.
Discrete Interval Censored Survival ModelsUpdated 2 months ago

Klaus Holst & Thomas Scheike

Rendered from interval-discrete-survival.Rmd in mets 1.3.5.
G-Computation or standardization for the Cox, Fine-Gray and binomial regression models for survival dataUpdated 2 months ago

Klaus Holst & Thomas Scheike

Rendered from survival-ate.Rmd in mets 1.3.5.
Average treatment effect (ATE) for Competing risks and binary outcomesUpdated 7 months ago

Klaus Holst & Thomas Scheike

Rendered from binreg-ate.Rmd in mets 1.3.5.
Two-Stage Randomization for Cox Type rate modelsUpdated 8 months ago

Klaus Holst & Thomas Scheike

Rendered from phreg_rct.Rmd in mets 1.3.5.
Two-Stage Randomization for for Competing risks and Survival outcomesUpdated 10 months ago

Klaus Holst & Thomas Scheike

Rendered from binreg-TRS.Rmd in mets 1.3.5.
GEE cluster standard errors and predictions for glm objectsUpdated 2 years ago

Klaus Holst & Thomas Scheike

Rendered from glm-utility.Rmd in mets 1.3.5.
Mediation Analysis for survival dataUpdated 2 years ago

Klaus Holst & Thomas Scheike

Rendered from mediation-survival.Rmd in mets 1.3.5.
Analysis of bivariate binomial data: Twin analysisUpdated 2 years ago

Klaus Holst & Thomas Scheike

Rendered from binomial-twin.Rmd in mets 1.3.5.
Analysis of multivariate binomial data: family analysisUpdated 2 years ago

Klaus Holst & Thomas Scheike

Rendered from binomial-family.Rmd in mets 1.3.5.
Analysis of multivariate survival dataUpdated 2 years ago

Klaus Holst & Thomas Scheike

Rendered from twostage-survival.Rmd in mets 1.3.5.
Twin modelsUpdated 2 years ago

Klaus Holst & Thomas Scheike

Rendered from quantitative-twin.Rmd in mets 1.3.5.
Haplotype Discrete Survival ModelsUpdated 3 years ago

Klaus Holst & Thomas Scheike

Rendered from haplo-discrete-ttp.Rmd in mets 1.3.5.
dUtility data-frame manipulationsUpdated 4 years ago

Klaus Holst & Thomas Scheike

Rendered from basic-dutils.Rmd in mets 1.3.5.