M-Estimation in Cross-Over Trials
Copyright policy )M-Estimation in Cross-Over Trials
A robust procedure, combined M-estimation, is proposed for analyzing cross-over data with possible within- and between-subject outliers. The mean squared error properties of these combined M-estimates for direct treatment effect contrasts and carryover treatment effect contrasts are examined through simulation studies. They are found to be superior to those of the generalized least squares estimates when there are possible within- and between-subject outliers.
Clinical Trials as Topic, Biometry, Forced Expiratory Volume, Amantadine, Humans, Parkinson Disease, Robustness and adaptive procedures (parametric inference), Least-Squares Analysis, Asthma, Applications of statistics to biology and medical sciences; meta analysis
Clinical Trials as Topic, Biometry, Forced Expiratory Volume, Amantadine, Humans, Parkinson Disease, Robustness and adaptive procedures (parametric inference), Least-Squares Analysis, Asthma, Applications of statistics to biology and medical sciences; meta analysis
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