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