A practical guide to Human Genetics with Lifetime DataUpdated 17 days ago

Klaus Holst & Thomas Scheike

Rendered from time-to-event-family-studies-arev.Rmd in mets 1.3.5.
Recurrent eventsUpdated 1 months ago

Klaus Holst & Thomas Scheike

Rendered from recurrent-events.Rmd in mets 1.3.5.
Average treatment effect (ATE) for Competing risks and binary outcomesUpdated 1 months ago

Klaus Holst & Thomas Scheike

Rendered from binreg-ate.Rmd in mets 1.3.5.
Two-Stage Randomization for Cox Type rate modelsUpdated 3 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 4 months ago

Klaus Holst & Thomas Scheike

Rendered from binreg-TRS.Rmd in mets 1.3.5.
G-Computation or standardization for the Cox, Fine-Gray and binomial regression models for survival dataUpdated 5 months ago

Klaus Holst & Thomas Scheike

Rendered from survival-ate.Rmd in mets 1.3.5.
WIP: Cooking survival data, 5 minute recipesUpdated 5 months ago

Klaus K. Holst

Rendered from cooking-survival-data.Rmd in mets 1.3.5.
targeted::ode_solve: Solving Ordinary Differential EquationsUpdated 5 months ago

Klaus Kähler Holst

Rendered from ode.Rmd in targeted 0.6.
The Art of InfluenceUpdated 9 months ago

Klaus Kähler Holst

Rendered from influencefunction.Rmd in lava 1.8.0.
Estimating partial correlations with lavaUpdated 9 months ago

Klaus Kähler Holst

Rendered from correlation.Rmd in lava 1.8.0.
Non-linear latent variable models and error-in-variable modelsUpdated 10 months ago

Klaus Kähler Holst

Rendered from nonlinear.Rmd in lava 1.8.0.
Average treatment effect (ATE) for Restricted mean survival and years lost of Competing risksUpdated 12 months ago

Klaus Holst & Thomas Scheike

Rendered from rmst-ate.Rmd in mets 1.3.5.
GEE cluster standard errors and predictions for glm objectsUpdated 1 years ago

Klaus Holst & Thomas Scheike

Rendered from glm-utility.Rmd in mets 1.3.5.
Mediation Analysis for survival dataUpdated 1 years ago

Klaus Holst & Thomas Scheike

Rendered from mediation-survival.Rmd in mets 1.3.5.
Binomial Regression for Survival and Competing Risks DataUpdated 2 years ago

Klaus Holst & Thomas Scheike

Rendered from binreg.Rmd in mets 1.3.5.
Discrete Interval Censored Survival ModelsUpdated 2 years ago

Klaus Holst & Thomas Scheike

Rendered from interval-discrete-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.
Cumulative Incidence RegressionUpdated 2 years ago

Klaus Holst & Thomas Scheike

Rendered from cifreg.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.
Marginal modelling of clustered survival dataUpdated 2 years ago

Klaus Holst & Thomas Scheike

Rendered from marginal-cox.Rmd in mets 1.3.5.
Estimating a relative risk or risk difference with a binary exposureUpdated 2 years ago

Klaus Kähler Holst

Rendered from riskregression.Rmd in targeted 0.6.
Average Treatment EffectsUpdated 2 years ago

Klaus Kähler Holst

Rendered from ate.Rmd in targeted 0.6.
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 3 years ago

Klaus Holst & Thomas Scheike

Rendered from basic-dutils.Rmd in mets 1.3.5.