Synthesis analysis of regression models with a continuous outcome

Statistics in Medicine

Volumn 28, Issue 11, 2009, Pages 1620-1635

  Zhou, Xiao Hua ^a,b   Hu, Nan ^b   Hu, Guizhou ^c   Root, Martin ^c  

^a VA PUGET SOUND HEALTH CARE SYSTEM   (United States)

^b UNIVERSITY OF WASHINGTON   (United States)

^c BioSignia Inc   (United States)

Author keywords

Linear models; Meta analysis; Synthesis analysis

Indexed keywords

ACCURACY; AGE; ANALYSIS OF VARIANCE; ARTICLE; BODY MASS; CALCULATION; CHOLESTEROL BLOOD LEVEL; CONTROLLED STUDY; CORRELATION COEFFICIENT; DATA ANALYSIS; INDEPENDENT VARIABLE; INTERMETHOD COMPARISON; MATHEMATICAL COMPUTING; MEASUREMENT ERROR; MULTIVARIATE LOGISTIC REGRESSION ANALYSIS; NORMAL DISTRIBUTION; PARTIAL LEAST SQUARES REGRESSION; PREDICTIVE VALIDITY; PREDICTOR VARIABLE; PROCESS DEVELOPMENT; PROCESS MODEL; REGRESSION ANALYSIS; SAMPLE SIZE; STATISTICAL ANALYSIS; STATISTICAL MODEL; SYNTHESIS ANALYSIS; SYSTEMATIC ERROR; SYSTOLIC BLOOD PRESSURE; TRIACYLGLYCEROL BLOOD LEVEL; UNIVARIATE ANALYSIS; BLOOD; BLOOD PRESSURE; COMPARATIVE STUDY; COMPUTER SIMULATION; EPIDEMIOLOGY; HEALTH SURVEY; HUMAN; META ANALYSIS; NUTRITION; STATISTICAL DISTRIBUTION;

CHOLESTEROL;

BIAS (EPIDEMIOLOGY); BLOOD PRESSURE; CHOLESTEROL; COMPUTER SIMULATION; HEALTH SURVEYS; HUMANS; LINEAR MODELS; META-ANALYSIS AS TOPIC; NUTRITION SURVEYS; REGRESSION ANALYSIS; SAMPLE SIZE; STATISTICAL DISTRIBUTIONS;

EID: 67649948693     PISSN: 02776715     EISSN: 10970258     Source Type: Journal    
DOI: 10.1002/sim.3563     Document Type: Article

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