Alternative measures of between-study heterogeneity in meta-analysis: Reducing the impact of outlying studies

Biometrics

Volumn 73, Issue 1, 2017, Pages 156-166

  Lin, Lifeng ^a   Chu, Haitao ^a   Hodges, James S ^a  

^a UNIVERSITY OF MINNESOTA   (United States)

Author keywords

Absolute deviation; Heterogeneity; I2 statistic; Meta analysis; Outliers

Indexed keywords

RANDOM PROCESSES; STATISTICS;

ABSOLUTE DEVIATIONS; EFFECT SIZE; FIXED EFFECT MODELS; HETEROGENEITY; HETEROGENEITY MEASURE; I2 STATISTIC; META-ANALYSIS; MODEL SELECTION; OUTLIER; RANDOM EFFECTS MODEL;

DECISION MAKING;

DECISION MAKING; HETEROGENEITY; HOMOGENEITY; META-ANALYSIS; MODEL TEST; MODEL VALIDATION; OUTLIER; STATISTICAL DATA;

AGED; ANALYSIS OF VARIANCE; COMPUTER SIMULATION; EXERCISE; FEMALE; HIP FRACTURE; HUMAN; INTRAABDOMINAL FAT; MALE; META ANALYSIS (TOPIC); MORTALITY; STATISTICAL ANALYSIS; STATISTICS;

AGED; ANALYSIS OF VARIANCE; COMPUTER SIMULATION; DATA INTERPRETATION, STATISTICAL; EXERCISE; FEMALE; HIP FRACTURES; HUMANS; INTRA-ABDOMINAL FAT; MALE; META-ANALYSIS AS TOPIC; STATISTICS AS TOPIC;

EID: 84969847996     PISSN: 0006341X     EISSN: 15410420     Source Type: Journal    
DOI: 10.1111/biom.12543     Document Type: Article

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