calgb8923

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 

calgb8923 function

<p>Data from smart design
id: id of subject
status : 1-death, 2-response for second randomization, 0-censoring
A0 : treament at first randomization
A1 : treament at second randomization
At.f : treament given at record (A0 or A1)
TR : time of response 
sex : 0-males, 1-females 
consent: 1 if agrees to 2nd randomization, censored if not
R: 1 if response 
trt1: A0
trt2: A1</p>

Format

CALGB 8923, twostage randomization SMART design — calgb8923

CALGB 8923, twostage randomization SMART design

calgb8923: CALGB 8923, twostage randomization SMART design

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