A note on sample size determination for Akaike Information Criterion (AIC) approach to clinical data analysis

Communications in Statistics - Theory and Methods

Volumn 34, Issue 12, 2005, Pages 2331-2343

  Yafune, Akifumi ^a,b,e   Narukawa, Mamoru ^c   Ishiguro, Makio ^b,d  

^a Clinic Sendagaya   (Japan)

^b INSTITUTE OF STATISTICAL MATHEMATICS   (Japan)

^c Japan Ministry of Health Labour and Welfare   (Japan)

^d GRADUATE UNIVERSITY FOR ADVANCED STUDIES   (Japan)

^e NONE   (Japan)

Author keywords

Clinical significance; Clinical trial; Dichotomous outcome; Minimum AIC procedure

Indexed keywords

COMPUTER SIMULATION; DATA PRIVACY; DATA REDUCTION; SIZE DETERMINATION;

AKAIKE INFORMATION CRITERION (AIC); CLINICAL DATA ANALYSIS; CLINICAL SIGNIFICANCE; CLINICAL TRIAL; DICHOTOMOUS OUTCOME; MINIMUM AIC PROCEDURE;

INFORMATION ANALYSIS;

EID: 29644437508     PISSN: 03610926     EISSN: 1532415X     Source Type: Journal    
DOI: 10.1080/03610920500257295     Document Type: Article

References (10)

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