Browse > Article
http://dx.doi.org/10.5351/CKSS.2002.9.3.703

Confounding of Time Trend with Dropout Process in Longitudinal Data Analysis  

Kim, Ji-Hyun (Department of Statistics, Soongsil University)
Choi, Hye-Hyun (Consumer Credit Risk Management Team, Korean Bank HQ)
Publication Information
Communications for Statistical Applications and Methods / v.9, no.3, 2002 , pp. 703-713 More about this Journal
Abstract
In longitudinal studies, outcomes are repeatedly measured over time for each subject. It is common to have missing values or dropouts for longitudinal data. In this study time trend in longitudinal data with dropouts is of concern. The confounding of time trend with dropout process is investigated through simulation studies. Some simulation results are reported for binary responses as well as continuous responses with patterns of dropouts varying. It has been found that time trend is not confounded with random dropout process for binary responses when it is estimated using GEE.
Keywords
binary response; GEE; random dropouts; informative dropouts;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
연도 인용수 순위
1 Random-effects models for longitudinal data /
[ Laird, N.M.;Ware, J.H. ] / Biometrics   DOI   ScienceOn
2 Regression Models foe Discrete Longitudinal Responses (with Discussion) /
[ Fitzmaurice, G.M.;Laird, N.M.;Rotnitsky, A.G. ] / Statistical Science   DOI   ScienceOn
3 Longitudinal data analysis using generalized linear models /
[ Liang, K.-Y.;Zeger, S.L. ] / Biometrika   DOI   ScienceOn
4 Analysis of semiparametric regression models for repeated outcomes in the presence of missing data /
[ Robins, J.M.;Rotnitzky, A.;Zhao, L.P. ] / Journal of the American Statistical Association   DOI   ScienceOn
5 /
[ Diggle, P.J.;Liang, K.;Zeger, S.L. ] / Analysis of Longitudinal Data
6 Inference and missing data /
[ Rubin, D.B. ] / Biometrika   DOI   ScienceOn
7 Regression Models for Longitudinal Binary Responses with Informative Drop-outs /
[ Fitzmaurice, G.M.;Molenberghs, G.;Lipsitz, S.R. ] / Journal of the Royal Statistical Society, Series B
8 Informative dropout in longitudinal data analysis (with Discussion) /
[ Diggle, P.J.;Kenward, M.G. ] / Applied Statistics   DOI   ScienceOn
9 반복측정자료 분석에 대한 고찰: 신장이식 환자의 신기능 부전 연구를 중심으로 /
[ 박태성;이승연;성건형;강종명;강경원 ] / 「응용통계연구」   과학기술학회마을
10 The generalized estimating equation approach when data are not missing completely at random /
[ Paik, M.C. ] / Journal of the American Statistical Association   DOI   ScienceOn
11 /
[ Verbeke, G.;Molenberghs, G. ] / Linear Mixed Models for Longitudinal Data