A practical guide to Human Genetics with Lifetime DataUpdated 10 days ago

Klaus Holst & Thomas Scheike

Rendered from time-to-event-family-studies-arev.Rmd in mets 1.3.11.
Analysis of bivariate binomial data: Twin analysisUpdated 10 days ago

Klaus Holst & Thomas Scheike

Rendered from binomial-twin.Rmd in mets 1.3.11.
Analysis of multivariate binomial data: family analysisUpdated 10 days ago

Klaus Holst & Thomas Scheike

Rendered from binomial-family.Rmd in mets 1.3.11.
Analysis of multivariate survival dataUpdated 10 days ago

Klaus Holst & Thomas Scheike

Rendered from twostage-survival.Rmd in mets 1.3.11.
Average treatment effect (ATE) for Competing risks and binary outcomesUpdated 10 days ago

Klaus Holst & Thomas Scheike

Rendered from binreg-ate.Rmd in mets 1.3.11.
Average treatment effect (ATE) for Restricted mean survival and years lost of Competing risksUpdated 10 days ago

Klaus Holst & Thomas Scheike

Rendered from rmst-ate.Rmd in mets 1.3.11.
Binomial Regression for Survival and Competing Risks DataUpdated 10 days ago

Klaus Holst & Thomas Scheike

Rendered from binreg.Rmd in mets 1.3.11.
Cooking Survival Data: 5-Minute RecipesUpdated 10 days ago

Klaus Holst & Thomas Scheike

Rendered from cooking-survival-data.Rmd in mets 1.3.11.
Cumulative Incidence RegressionUpdated 10 days ago

Klaus Holst & Thomas Scheike

Rendered from cifreg.Rmd in mets 1.3.11.
Discrete Interval Censored Survival ModelsUpdated 10 days ago

Klaus Holst & Thomas Scheike

Rendered from interval-discrete-survival.Rmd in mets 1.3.11.
dUtility data-frame manipulationsUpdated 10 days ago

Klaus Holst & Thomas Scheike

Rendered from basic-dutils.Rmd in mets 1.3.11.
G-Computation or standardization for the Cox, Fine-Gray and binomial regression models for survival dataUpdated 10 days ago

Klaus Holst & Thomas Scheike

Rendered from survival-ate.Rmd in mets 1.3.11.
GEE cluster standard errors and predictions for glm objectsUpdated 10 days ago

Klaus Holst & Thomas Scheike

Rendered from glm-utility.Rmd in mets 1.3.11.
Haplotype Discrete Survival ModelsUpdated 10 days ago

Klaus Holst & Thomas Scheike

Rendered from haplo-discrete-ttp.Rmd in mets 1.3.11.
IPCW Cumulative CostUpdated 10 days ago

Klaus Holst & Thomas Scheike

Rendered from cumulative-cost.Rmd in mets 1.3.11.
Marginal modelling of clustered survival dataUpdated 10 days ago

Klaus Holst & Thomas Scheike

Rendered from marginal-cox.Rmd in mets 1.3.11.
Mediation Analysis for survival dataUpdated 10 days ago

Klaus Holst & Thomas Scheike

Rendered from mediation-survival.Rmd in mets 1.3.11.
Randomization for Cox Type rate modelsUpdated 10 days ago

Klaus Holst & Thomas Scheike

Rendered from phreg_rct.Rmd in mets 1.3.11.
Recurrent eventsUpdated 10 days ago

Klaus Holst & Thomas Scheike

Rendered from recurrent-events.Rmd in mets 1.3.11.
Twin modelsUpdated 10 days ago

Klaus Holst & Thomas Scheike

Rendered from quantitative-twin.Rmd in mets 1.3.11.
Two-Stage Randomization for Competing risks and Survival outcomesUpdated 10 days ago

Klaus Holst & Thomas Scheike

Rendered from binreg-TRS.Rmd in mets 1.3.11.
While Alive estimands for Recurrent EventsUpdated 10 days ago

Klaus Holst & Thomas Scheike

Rendered from while-alive.Rmd in mets 1.3.11.
The Art of InfluenceUpdated 24 days ago

Klaus Kähler Holst

Rendered from influencefunction.Rmd in lava 1.9.2.
Prediction modelsUpdated 2 months ago

Klaus K. Holst

Rendered from predictionclass.qmd in targeted 0.8.
Estimating partial correlations with lavaUpdated 2 months ago

Klaus Kähler Holst

Rendered from correlation.Rmd in lava 1.9.2.
Non-linear latent variable models and error-in-variable modelsUpdated 2 months ago

Klaus Kähler Holst

Rendered from nonlinear.Rmd in lava 1.9.2.
Estimating a relative risk or risk difference with a binary exposureUpdated 6 months ago

Klaus K. Holst

Rendered from riskregression.qmd in targeted 0.8.