twinstut

Based on nation-wide questionnaire answers from 33,317 Danish twins

data

Implementation of various statistical models for multivariate
event history data. Including multivariate cumulative incidence models, and
bivariate random effects probit models (Liability models). Also contains
two-stage binomial modelling that can do pairwise odds-ratio dependence
modelling based marginal logistic regression models. This is an alternative
to the alternating logistic regression approach (ALR).

Klaus Holst

mets

Analysis of Multivariate Event Times

twinstut function

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

twinstut: Stutter data set

Description

Arguments

Format