4.3 Article

A hierarchical meta-analysis for settings involving multiple outcomes across multiple cohorts

期刊

STAT
卷 11, 期 1, 页码 -

出版社

WILEY
DOI: 10.1002/sta4.462

关键词

cognition; fetal alcohol syndrome; hierarchical model; multiple outcomes; prenatal alcohol exposure; synthesis of evidence; two-stage estimation

资金

  1. Australian Research Council Centre of Excellence for Mathematical and Statistical Frontiers [CE140100049]
  2. Lycaki-Young Fund from the State of Michigan
  3. Natural Sciences and Engineering Research Council of Canada [RGPIN 04207, RGPIN 155849]
  4. National Institute of Health [R01-AA025905]
  5. NIAAA/NIH [R01-AA01455, R01-AA06966, R01-AA09524, P50-AA07606, R01-AA06390, R01-AA06666,, R01-AA14215, R01-AA18116]
  6. National Institute on Drug Abuse (NIDA)/NIH [R21-DA021034]
  7. National Institute on Child Health and Human Development/NIH [HD036890, R01-DA00090, R01-DA03209, R01-DA03874, R01-DA17786, R01-DA05460, R01-DA06839, R01-DA08916, R01-DA12401]
  8. NIDA/NIH [R01-DA0737362]

向作者/读者索取更多资源

Evidence from animal models and epidemiological studies suggests that prenatal alcohol exposure is associated with long-term cognitive and behavioral deficits. However, there is limited evidence regarding the specific nature and levels of exposure that increase the risk of clinically significant cognitive deficits. To address this, researchers have developed a hierarchical meta-analysis approach to synthesize data from multiple studies and estimate the effects of prenatal alcohol exposure on cognition.
Evidence from animal models and epidemiological studies has linked prenatal alcohol exposure (PAE) to a broad range of long-term cognitive and behavioural deficits. However, there is a paucity of evidence regarding the nature and levels of PAE associated with increased risk of clinically significant cognitive deficits. To derive robust and efficient estimates of the effects of PAE on cognitive function, we have developed a hierarchical meta-analysis approach to synthesize information regarding the effects of PAE on cognition, integrating data on multiple outcomes from six U.S. longitudinal cohort studies. A key assumption of standard methods of meta-analysis, effect sizes are independent, is violated when multiple intercorrelated outcomes are synthesized across studies. Our approach involves estimating the dose-response coefficients for each outcome and then pooling these correlated dose-response coefficients to obtain an estimated global effect of exposure on cognition. In the first stage, we use individual participant data to derive estimates of the effects of PAE by fitting regression models that adjust for potential confounding variables using propensity scores. The correlation matrix characterizing the dependence between the outcome-specific dose-response coefficients estimated within each cohort is then run, while accommodating incomplete information on some outcome. We also compare inferences based on the proposed approach to inferences based on a full multivariate analysis.

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