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