The influence of signal variation, bias, noise and effect size on statistical significance in treatment studies of the common cold

Antiviral Research

Volumn 29, Issue 2-3, 1996, Pages 287-295

  Gwaltney Jr , Jack M ^a   Buier, Rose M ^b   Rogers, James L ^b  

^a UNIVERSITY OF VIRGINIA HEALTH SYSTEM   (United States)

^b Research and Data Services Inc   (United States)

Author keywords

acute respiratory infection; common cold; effect size; experimental design; rhinovirus; treatment; variance

Indexed keywords

ADULT; ARTICLE; COMMON COLD; DISEASE DURATION; DISEASE SEVERITY; EXPERIMENTAL INFECTION; HUMAN; MEDICAL RESEARCH; PRIORITY JOURNAL; RHINOVIRUS; SIGNAL NOISE RATIO; STATISTICS; SYMPTOMATOLOGY; TECHNIQUE; VARIANCE;

RHINOVIRUS;

EID: 0029991165     PISSN: 01663542     EISSN: None     Source Type: Journal    
DOI: 10.1016/0166-3542(95)00935-3     Document Type: Article

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