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