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      Methods for Trend Estimation from Summarized Dose-Response Data, with Applications to Meta-Analysis

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      American Journal of Epidemiology

      Oxford University Press (OUP)

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          Abstract

          Meta-analysis often requires pooling of correlated estimates to compute regression slopes (trends) across different exposure or treatment levels. The authors propose two methods that account for the correlations but require only the summary estimates and marginal data from the studies. These methods provide more efficient estimates of regression slope, more accurate variance estimates, and more valid heterogeneity tests than those previously available. One method also allows estimation of nonlinear trend components, such as quadratic effects. The authors illustrate these methods in a meta-analysis of alcohol use and breast cancer.

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          Author and article information

          Journal
          American Journal of Epidemiology
          Oxford University Press (OUP)
          1476-6256
          0002-9262
          June 01 1992
          June 01 1992
          June 01 1992
          June 01 1992
          June 01 1992
          June 01 1992
          : 135
          : 11
          : 1301-1309
          Article
          10.1093/oxfordjournals.aje.a116237
          1626547
          © 1992
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