Simulate from the Clayton-Oakes frailty model
Random effects model for competing risks data
Migraine data
Multivariate Cumulative Incidence Function example data set
For internal use
Aalen frailty model
Derivatives of the bivariate normal cumulative distribution function
Fast Cox PH regression
prints Concordance test
Estimation of concordance in bivariate competing risks data
Dermal ridges data (families)
Fits two-stage model for describing depdendence in survival data
using marginals that are on cox or aalen form using the twostage funcion, but
call is different and easier and the data manipulation build into the function.
Useful in particular for family design data.
Dermal ridges data (monozygotic twins)
Prostate data set
Liability model for twin data
Menarche data set
Fast pattern
Fast approximation
Concordance test Compares two concordance estimates
Liability model for twin data
Simulate from the Clayton-Oakes frailty model
Classic twin model for quantitative traits
Estimates the casewise concordance based on Concordance and marginal estimate using prodlim but no testing
Convert to timereg object
Life table
BMI data set
np data set
Estimates the casewise concordance based on Concordance and marginal estimate using timereg and performs test for independence
Summary for dependence models for competing risks
plack Computes concordance for or.cif based model, that is Plackett random effects model
Clayton-Oakes model with piece-wise constant hazards
Simulate from the Aalen Frailty model
Fits Clayton-Oakes or bivariate Plackett (OR) models for binary data
using marginals that are on logistic form.
If clusters contain more than two times, the algoritm uses a compososite likelihood
based on all pairwise bivariate models.
Fits Clayton-Oakes or bivariate Plackett models for bivariate survival data
using marginals that are on Cox or addtive form.
If clusters contain more than two times, the algoritm uses a compososite likelihood
based on the pairwise bivariate models.
Stutter data set
Additive Random effects model for competing risks data for polygenetic modelling
Concordance Computes concordance and probandwise concordance
Fast reshape
Simple reshape/tranpose of data
Analysis of Multivariate Events
Fits two-stage binomial for describing depdendence in binomial data
using marginals that are on logistic form using the binomial.twostage funcion, but
call is different and easier and the data manipulation is build into the function.
Useful in particular for family design data.
Cross-odds-ratio, OR or RR risk regression for competing risks
Inverse Probability of Censoring Weights
Simulate twin data