Marginal and conditional approaches to multivariate variables subject to limit of detection

Journal of Biopharmaceutical Statistics

Volumn 19, Issue 6, 2009, Pages 1151-1161

  Nie, L ^a   Chu, H ^b   Cheng, Y ^c   Spurney, C ^c   Nagaraju, K ^c   Chen, J ^d  

^a OTS   (United States)

^b University of North Carolina at Chapel Hill   (United States)

^c CHILDREN'S NATIONAL MEDICAL CENTER   (United States)

^d ABBOTT LABORATORIES   (United States)

Author keywords

Limit of detection; Marginal approach; Maximum likelihood estimate; Variance component mixed effect model

Indexed keywords

ANIMAL EXPERIMENT; ANIMAL MODEL; ARTICLE; BIOSTATISTICS; BIVARIATE ANALYSIS; CONCEPTUAL FRAMEWORK; CONDITIONING; CONTROLLED STUDY; DUCHENNE MUSCULAR DYSTROPHY; MATHEMATICAL COMPUTING; MAXIMUM LIKELIHOOD METHOD; MOTOR PERFORMANCE; MOUSE; MULTIVARIATE ANALYSIS; NONHUMAN; PRIORITY JOURNAL; SENSITIVITY ANALYSIS; SIMULATION; VARIANCE;

ANIMALS; COMPUTER SIMULATION; DATA INTERPRETATION, STATISTICAL; LIMIT OF DETECTION; MICE; MULTIVARIATE ANALYSIS; MUSCLE STRENGTH; MUSCULAR DYSTROPHY, DUCHENNE;

EID: 75749106258     PISSN: 10543406     EISSN: 15205711     Source Type: Journal    
DOI: 10.1080/10543400903243033     Document Type: Article

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