Estimating controlled direct effects of restrictive feeding practices in the 'Early dieting in girls' study

Yeying Zhu, Debashis Ghosh, Donna L. Coffman, Jennifer S. Savage

Research output: Contribution to journalArticlepeer-review

4 Scopus citations

Abstract

We examine the causal effect of parental restrictive feeding practices on children's weight status. An important mediator is children's self-regulation status. Recent approaches interpret mediation effects on the basis of the potential outcomes framework. Inverse probability weighting based on propensity scores are used to adjust for confounding and to reduce the dimensionality of confounders simultaneously. We show that combining machine learning algorithms and logistic regression to estimate the propensity scores can be more accurate and efficient in estimating the controlled direct effects than using logistic regression alone. A data application shows that the causal effect of mother's restrictive feeding differs according to whether the daughter eats in the absence of hunger.

Original languageEnglish (US)
Pages (from-to)115-130
Number of pages16
JournalJournal of the Royal Statistical Society. Series C: Applied Statistics
Volume65
Issue number1
DOIs
StatePublished - Jan 1 2016

All Science Journal Classification (ASJC) codes

  • Statistics and Probability
  • Statistics, Probability and Uncertainty

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