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Volumn 5, Issue 4, 2006, Pages 295-304
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Inference methods for saturated models in longitudinal clinical trials with incomplete binary data
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Author keywords
Clinial trial; Data augmentation; Expectation maximization; Multiple imputation
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Indexed keywords
CIPROFLOXACIN;
ALGORITHM;
ANALYTICAL ERROR;
ARTICLE;
CLINICAL RESEARCH;
CLINICAL TRIAL;
COMPUTER PROGRAM;
DATA ANALYSIS;
DATA AUGMENTATION;
EXPECTATION MAXIMIZATION;
HUMAN;
INFERENTIAL STATISTICS;
LONGITUDINAL STUDY;
MONTE CARLO METHOD;
OUTCOME ASSESSMENT;
PROBABILITY;
SENSITIVITY ANALYSIS;
STATISTICAL ANALYSIS;
STATISTICAL MODEL;
SYMPTOMATOLOGY;
URINARY TRACT INFECTION;
ALGORITHMS;
CLINICAL TRIALS;
COMPUTER SIMULATION;
DATA INTERPRETATION, STATISTICAL;
DRUG INDUSTRY;
HUMANS;
LIKELIHOOD FUNCTIONS;
LONGITUDINAL STUDIES;
MODELS, STATISTICAL;
PROBABILITY;
REGRESSION ANALYSIS;
RESEARCH DESIGN;
SAMPLE SIZE;
SENSITIVITY AND SPECIFICITY;
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EID: 33845889128
PISSN: 15391604
EISSN: 15391612
Source Type: Journal
DOI: 10.1002/pst.233 Document Type: Article |
Times cited : (1)
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References (15)
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