Average Treatment EffectsUpdated 8 days ago

Klaus Kähler Holst

Rendered from ate.Rmd in targeted 0.6.
Conditional Average Treatment Effects (cate)Updated 8 days ago

Klaus Kähler Holst

Rendered from cate.Rmd in targeted 0.6.
Estimating a relative risk or risk difference with a binary exposureUpdated 8 days ago

Klaus Kähler Holst

Rendered from riskregression.Rmd in targeted 0.6.
targeted::ode_solve: Solving Ordinary Differential EquationsUpdated 8 days ago

Klaus Kähler Holst

Rendered from ode.Rmd in targeted 0.6.
Cumulative Incidence RegressionUpdated 8 days ago

Klaus Holst & Thomas Scheike

Rendered from cifreg.Rmd in mets 1.3.5.
While Alive estimands for Recurrent EventsUpdated 15 days ago

Klaus Holst & Thomas Scheike

Rendered from while-alive.Rmd in mets 1.3.5.
The Art of InfluenceUpdated 18 days ago

Klaus Kähler Holst

Rendered from influencefunction.Rmd in lava 1.8.1.
WIP: Cooking survival data, 5 minute recipesUpdated 23 days ago

Klaus K. Holst

Rendered from cooking-survival-data.Rmd in mets 1.3.5.
Discrete Interval Censored Survival ModelsUpdated 23 days 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 24 days ago

Klaus Holst & Thomas Scheike

Rendered from survival-ate.Rmd in mets 1.3.5.
Average treatment effect (ATE) for Restricted mean survival and years lost of Competing risksUpdated 24 days ago

Klaus Holst & Thomas Scheike

Rendered from rmst-ate.Rmd in mets 1.3.5.
Binomial Regression for Survival and Competing Risks DataUpdated 24 days ago

Klaus Holst & Thomas Scheike

Rendered from binreg.Rmd in mets 1.3.5.
Recurrent eventsUpdated 2 months ago

Klaus Holst & Thomas Scheike

Rendered from recurrent-events.Rmd in mets 1.3.5.
A practical guide to Human Genetics with Lifetime DataUpdated 5 months ago

Klaus Holst & Thomas Scheike

Rendered from time-to-event-family-studies-arev.Rmd in mets 1.3.5.
Average treatment effect (ATE) for Competing risks and binary outcomesUpdated 6 months ago

Klaus Holst & Thomas Scheike

Rendered from binreg-ate.Rmd in mets 1.3.5.
Two-Stage Randomization for Cox Type rate modelsUpdated 7 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 8 months ago

Klaus Holst & Thomas Scheike

Rendered from binreg-TRS.Rmd in mets 1.3.5.
Estimating partial correlations with lavaUpdated 1 years ago

Klaus Kähler Holst

Rendered from correlation.Rmd in lava 1.8.1.
Non-linear latent variable models and error-in-variable modelsUpdated 1 years ago

Klaus Kähler Holst

Rendered from nonlinear.Rmd in lava 1.8.1.
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 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.
Marginal modelling of clustered survival dataUpdated 2 years ago

Klaus Holst & Thomas Scheike

Rendered from marginal-cox.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 3 years ago

Klaus Holst & Thomas Scheike

Rendered from basic-dutils.Rmd in mets 1.3.5.