Combining Multiple Markers to Improve the Longitudinal Rate of Progression: Application to Clinical Trials on the Early Stage of Alzheimer's Disease

Statistics in Biopharmaceutical Research

Volumn 5, Issue 1, 2013, Pages 54-66

  Xiong, Chengjie ^a   van Belle, Gerald ^b   Chen, Kewei ^c   Tian, Lili ^d   Luo, Jingqin ^a   Gao, Feng ^a   Yan, Yan ^a   Chen, Ling ^a   Morris, John C ^e   Crane, Paul ^b  

^a WASHINGTON UNIVERSITY   (United States)

^b UNIVERSITY OF WASHINGTON   (United States)

^c BANNER ALZHEIMER S INSTITUTE   (United States)

^d UNIVERSITY AT BUFFALO   (United States)

^e WASHINGTON UNIVERSITY SCHOOL OF MEDICINE   (United States)

Author keywords

Bootstrap estimate; Delta method; Multivariate random coefficients models; Power; Preclinical Alzheimer's disease (AD); Randomized clinical trials (RCT); Sample size

Indexed keywords

ALZHEIMER DISEASE VACCINE;

ALZHEIMER DISEASE; ALZHEIMER DISEASE ASSESSMENT SCALE; ARTICLE; BOOTSTRAPPING; CONFIDENCE INTERVAL; CORRELATION ANALYSIS; DISEASE COURSE; HUMAN; MAXIMUM LIKELIHOOD METHOD; MILD COGNITIVE IMPAIRMENT; MULTIVARIATE ANALYSIS; PRINCIPAL COMPONENT ANALYSIS; RANDOMIZED CONTROLLED TRIAL (TOPIC); SAMPLE SIZE; SCORING SYSTEM; SIMULATION; VARIANCE;

EID: 84874321033     PISSN: None     EISSN: 19466315     Source Type: Journal    
DOI: 10.1080/19466315.2012.756662     Document Type: Article

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