Global ETD Search
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Showing 1 to 2 of 2 for “"Monotone missing data pattern"”.
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Unified Approach to Partially Linear Model and Cox Proportional Hazards Model with Missing Covariates
In regression analysis the problem of missing covariate data is common in various fields of application. Many methods have been developed to deal with this problem in the past three decades. These methods are workable under most missing data scenarios. However, when missing covariate data appear in …
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Robustness of Multiple Imputation under Missing at Random (MAR) Mechanism: A Simulation Study
<p>Missing data is an unavoidable issue in controlled clinical trials and public health research and practice. Presence of missing data and applying inappropriate methods of analysis generates biased estimates and reduces power of study. It is very important for investigators to use appropriate …