A Two-Step Multiple Imputation for Analysis of Repeated Measures With Left-Censored and Missing Data

Statistics in Biopharmaceutical Research

Volumn 5, Issue 2, 2013, Pages 116-125

  Liu, G Frank ^a   Hu, Peter ^b   Mehrotra, Devan V ^a  

^a MERCK RESEARCH LABORATORIES   (United States)

^b BRISTOL MYERS SQUIBB   (United States)

Author keywords

Analysis of covariance; Constraint longitudinal data analysis; Missing at random; Robust regression

Indexed keywords

DIPHTHERIA PERTUSSIS POLIOMYELITIS TETANUS HAEMOPHILUS INFLUENZAE TYPE B HEPATITIS B VACCINE; PLACEBO;

ALGORITHM; ANALYSIS OF COVARIANCE; ARTICLE; BAYES THEOREM; COMPUTER SIMULATION; CORRELATION ANALYSIS; DATA ANALYSIS; HUMAN; PROBABILITY; RANDOMIZATION; RANDOMIZED CONTROLLED TRIAL (TOPIC); REGRESSION ANALYSIS; SAMPLE SIZE; STATISTICAL ANALYSIS; STATISTICAL DISTRIBUTION; STATISTICAL MODEL; STATISTICAL PARAMETERS; STATISTICAL SIGNIFICANCE;

EID: 84881000671     PISSN: None     EISSN: 19466315     Source Type: Journal    
DOI: 10.1080/19466315.2013.783503     Document Type: Article

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