TY - JOUR
T1 - A reanalysis of a longitudinal scleroderma clinical trial using non-ignorable missingness models
AU - Boscardin, W. John
AU - Yan, Xiaohong
AU - Wong, Weng Kee
N1 - Funding Information:
All three authors were partially supported by a grant award from the Scleroderma Foundation. WJB was also partially supported by NIH Grants MH60213, NS30308, and AI28697, and WKW by GM72876. The authors would like to give special thanks to Philip Clements, MD in the UCLA School of Medicine for allowing us to use the data in Section 4 .
PY - 2007/12/1
Y1 - 2007/12/1
N2 - When analyzing incomplete longitudinal clinical trial data, it is often inappropriate to assume that the occurrence of missingness is at random, especially in cases where visits are entirely missed. We present a framework that simultaneously models multivariate incomplete longitudinal data and a non-ignorable missingness mechanism using a Bayesian approach. A criterion measure is presented for comparing models. We demonstrate the feasibility of the methodology through reanalysis of two of the longitudinal measures from a clinical trial of penicillamine treatment for scleroderma patients. We compare the results for univariate and bivariate, ignorable and non-ignorable missingness models.
AB - When analyzing incomplete longitudinal clinical trial data, it is often inappropriate to assume that the occurrence of missingness is at random, especially in cases where visits are entirely missed. We present a framework that simultaneously models multivariate incomplete longitudinal data and a non-ignorable missingness mechanism using a Bayesian approach. A criterion measure is presented for comparing models. We demonstrate the feasibility of the methodology through reanalysis of two of the longitudinal measures from a clinical trial of penicillamine treatment for scleroderma patients. We compare the results for univariate and bivariate, ignorable and non-ignorable missingness models.
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U2 - 10.1016/j.jspi.2007.04.005
DO - 10.1016/j.jspi.2007.04.005
M3 - Article
AN - SCOPUS:34547895453
SN - 0378-3758
VL - 137
SP - 3848
EP - 3858
JO - Journal of Statistical Planning and Inference
JF - Journal of Statistical Planning and Inference
IS - 12 SPEC. ISS.
ER -