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