Synapse
⌘+K
Synapse
PulseExploreClubsResearchersJournals
Instagram
HomeClubsExplore
December 1, 2004Psychological Methods

Propensity Score Estimation With Boosted Regression for Evaluating Causal Effects in Observational Studies.

View Full Paper
Ask AI
Bookmark
Share

Authors

DMDaniel F. McCaffreyBoise State UniversityGRGreg RidgewaySouthern Illinois University CarbondaleAMAndrew R. MorralRAND Corporation

Discussion

Loading...

Member takes

Implication

Randomized trial demonstrates improved causal effect estimation in adolescents using boosted propensity score methods, suggesting better treatment evaluations.

Key Points

  • The aim is to improve causal effect modeling in observational studies using boosted regression for accurate propensity score estimation.
  • Boosted regression techniques applied to estimate propensity scores
  • Analysis of treatment effects in adolescent probationers in substance abuse programs
  • Comparison of pretreatment characteristics across treatment groups
  • Boosted regression methods successfully eliminated most pretreatment differences between treatment groups
  • Estimated propensity score weights significantly altered apparent effects of substance abuse treatment
  • Indicates a more accurate evaluation of treatment impacts in observational settings

Cite This Study

McCaffrey et al. (2004) studied this question.

synapsesocial.com/papers/69d748ccaa68b335b4f30d77https://doi.org/10.1037/1082-989x.9.4.403
View Full Paper
Ask AI
Bookmark
Share

Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Statistical Power Analysis for the Behavioral Sciences1989 · 16,521 citations
  2. 2Reducing Bias in Observational Studies Using Subclassification on the Propensity Score1984 · 3,228 citations
  3. 3R: A Language for Data Analysis and Graphics1996 · 10,496 citations
  4. 4The Central Role of the Propensity Score in Observational Studies for Causal Effects1983 · 3,495 citations
  5. 5Bayesian Inference for Causal Effects: The Role of Randomization1978 · 2,538 citations