%0 Journal Article
%A Baghfalaki, T.
%A Ganjali, M.
%A Khounsiavash, M.
%T A Non-Random Dropout Model for Analyzing Longitudinal Skew-Normal Response
%J Journal of the Iranian Statistical Society
%V 11
%N 2
%U http://jirss.irstat.ir/article-1-188-en.html
%R
%D 2012
%K Dropout, generalized estimating equations (GEE), longitu- dinal data, observed information matrix, selection model, Skew-Normal distribution.,
%X In this paper, multivariate skew-normal distribution is em- ployed for analyzing an outcome based dropout model for repeated mea- surements with non-random dropout in skew regression data sets. A probit regression is considered as the conditional probability of an ob- servation to be missing given outcomes. A simulation study of using the proposed methodology and comparing it with a semi-parametric method, GEE, is provided. The standardized bias is used for compari- son of different approaches. Furthermore, for investigation of efficiency of the methodology two applications are analyzed where observed infor- mation matrix is used to find the variances of the parameter estimates. In one of the applications a sensitivity analysis is also performed to in- vestigate the change on the response model’s parameter estimates due to perturbation of drop-out model’s parameter of interest.
%> http://jirss.irstat.ir/article-1-188-en.pdf
%P 101-129
%& 101
%!
%9
%L A-10-1-83
%+
%G eng
%@ 1726-4057
%[ 2012