1、Multiple Imputation of Missing Blood Pressure Covariates in Survival Analysis
2、Partially Parametric Techniques for Multiple Imputation
3、A Multiple Imputation Strategy for Clinical Trials with Truncation of Patient Data
4、Imputation Using Markov Chains
5、Large-Sample Significance Levels from Multiply Imputed Data Using Moment-Based 6、Statistics and an F Reference Distribution
7、Statistical Analysis with Missing Data
8、Bartlett’s Decomposition of the Posterior Distribution of the Covariance for Normal Monotone Ignorable Missing Data
10、Modern Statistical Methods for Handling Missing Repeated Measurements in Obesity Trial Data: Beyond LOCF
11、Inference from Iterative Simulation Using Multiple Sequences
12、A Tutorial on the Sweep Operator,
13、Multiple Imputation for the Fatal Accident Reporting System
14、Applications of Multiple Imputation in Medical Studies: From AIDS to NHANES
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zhaojunkang0507@163.com
