twinbmi

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

twinbmi function

Self-reported BMI-values on 11,411 subjects tvparnr: twin id
bmi: BMI (m/kg^2)
age: Age
gender: (male/female)
zyg: zygosity, MZ:=mz, DZ(same sex):=dz, DZ(opposite sex):=os

twinbmi: BMI data set

Description

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