Modeling Gene-Environment Interactions With Quasi-Natural Experiments.

  title={Modeling Gene-Environment Interactions With Quasi-Natural Experiments.},
  author={Lauren L Schmitz and Dalton Conley},
  journal={Journal of personality},
  volume={85 1},
This overview develops new empirical models that can effectively document Gene × Environment (G×E) interactions in observational data. Current G×E studies are often unable to support causal inference because they use endogenous measures of the environment or fail to adequately address the nonrandom distribution of genes across environments, confounding estimates. Comprehensive measures of genetic variation are incorporated into quasi-natural experimental designs to exploit exogenous… CONTINUE READING

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Genotyping a new, national household panel study: White paper prepared for NSF-sponsored Conference, May 2014

  • D. Conley
  • Journal of Economic and Social Measurement, 40…
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Produced and distributed by the University of Michigan with funding from the National Institute on Aging (grant number NIA U01AG009740)

  • Health, Retirement Study.
  • Ann Arbor, MI.
  • 2015

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