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Missing Covariates in Longitudinal Data with Informative Dropouts: Bias Analysis and Inference
Roy, Jason; Lin, Xihong - In: Biometrics 61 (2005) 3, pp. 837-846
Persistent link: https://www.econbiz.de/10010946837
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Modeling Longitudinal Data with Nonignorable Dropouts Using a Latent Dropout Class Model
Roy, Jason - In: Biometrics 59 (2003) 4, pp. 829-836
Persistent link: https://www.econbiz.de/10010947193
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A General Class of Pattern Mixture Models for Nonignorable Dropout with Many Possible Dropout Times
Roy, Jason; Daniels, Michael J. - In: Biometrics 64 (2008) 2, pp. 538-545
Persistent link: https://www.econbiz.de/10010947959
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A Comparison of Methods for Estimating the Causal Effect of a Treatment in Randomized Clinical Trials Subject to Noncompliance
Little, Roderick J.; Long, Qi; Lin, Xihong - In: Biometrics 65 (2009) 2, pp. 640-649
Persistent link: https://www.econbiz.de/10010946454
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A Scaled Linear Mixed Model for Multiple Outcomes
Lin, Xihong; Ryan, Louise; Sammel, Mary; Zhang, Daowen; … - In: Biometrics 56 (2000) 2, pp. 593-601
Persistent link: https://www.econbiz.de/10010946530
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Report of the Co-Editors – 2004
Cullis, Brian; Freedman, Laurence; Kenward, Mike; Lin, … - In: Biometrics 61 (2005) 1, pp. i-i
Persistent link: https://www.econbiz.de/10010946601
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Report of the Co-Editors – 2003
Cullis, Brian; Commenges, Daniel; Kenward, Mike; Lin, Xihong - In: Biometrics 60 (2004) 1, pp. i-i
Persistent link: https://www.econbiz.de/10010946798
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The authors replied as follows:
Ye, Wen; Taylor, Jeremy M.G.; Lin, Xihong - In: Biometrics 66 (2010) 3, pp. 987-991
Persistent link: https://www.econbiz.de/10010946876
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Kernel Machine Approach to Testing the Significance of Multiple Genetic Markers for Risk Prediction
Cai, Tianxi; Tonini, Giulia; Lin, Xihong - In: Biometrics 67 (2011) 3, pp. 975-986
Persistent link: https://www.econbiz.de/10010946906
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Semiparametric Regression for Periodic Longitudinal Hormone Data from Multiple Menstrual Cycles
Zhang, Daowen; Lin, Xihong; Sowers, MaryFran - In: Biometrics 56 (2000) 1, pp. 31-39
Persistent link: https://www.econbiz.de/10010947036