Aalen frailty model
Estimates the casewise concordance based on Concordance and marginal estimate using prodlim but no testing
Liability model for twin data
For internal use
Random effects model for competing risks data
Estimation of concordance in bivariate competing risks data
np data set
Cross-odds-ratio, OR or RR risk regression for competing risks
Multivariate Cumulative Incidence Function example data set
Derivatives of the bivariate normal cumulative distribution function
BMI data set
Additive Random effects model for competing risks data for polygenetic modelling
Estimates the casewise concordance based on Concordance and marginal estimate using timereg and performs test for independence
Fast pattern
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.
prints Concordance test
Analysis of Multivariate Events
Simulate twin data
Summary for dependence models for competing risks
Menarche data set (sim)
Simulate from the Clayton-Oakes frailty model
Clayton-Oakes model with piece-wise constant hazards
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.
Fast approximation
Classic twin model for quantitative traits
Concordance test Compares two concordance estimates
Inverse Probability of Censoring Weights
Convert to timereg object
Stutter data set
Fast Cox PH regression
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.
Migraine data
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.
Concordance Computes concordance and probandwise concordance
Fast reshape
Simple reshape/tranpose of data
Prostate data set (sim)
plack Computes concordance for or.cif based model, that is Plackett random effects model