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) |
1 |
Random-effects models for longitudinal data
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DOI ScienceOn |
2 |
Regression Models foe Discrete Longitudinal Responses (with Discussion)
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DOI ScienceOn |
3 |
Longitudinal data analysis using generalized linear models
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DOI ScienceOn |
4 |
Analysis of semiparametric regression models for repeated outcomes in the presence of missing data
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DOI ScienceOn |
5 |
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6 |
Inference and missing data
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DOI ScienceOn |
7 |
Regression Models for Longitudinal Binary Responses with Informative Drop-outs
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8 |
Informative dropout in longitudinal data analysis (with Discussion)
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DOI ScienceOn |
9 |
반복측정자료 분석에 대한 고찰: 신장이식 환자의 신기능 부전 연구를 중심으로
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과학기술학회마을 |
10 |
The generalized estimating equation approach when data are not missing completely at random
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DOI ScienceOn |
11 |
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