twinstut

<p>Based on nation-wide questionnaire answers from 33,317 Danish twins</p>

data

Implementation of various statistical models for multivariate
event history data <doi:10.1007/s10985-013-9244-x>. Including multivariate
cumulative incidence models <doi:10.1002/sim.6016>, and  bivariate random
effects probit models (Liability models) <doi:10.1016/j.csda.2015.01.014>.
Modern methods for survival analysis, including regression modelling (Cox, Fine-Gray,
Ghosh-Lin, Binomial regression) with fast computation of influence functions.

Klaus Holst

mets

Analysis of Multivariate Event Times

Klaus K. Holst

Thomas Scheike 

twinstut function

<p>tvparnr: twin-pair id
zyg: zygosity, MZ:=mz, DZ(same sex):=dz, DZ(opposite sex):=os
stutter: stutter status (yes/no)
age: age
nr: number within twin-pair</p>

twinstut: Stutter data set

Description

Arguments

Format