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

Causal effect modeling with naturalistic rather than experimental data is challenging. In observational studies participants in different treatment conditions may also differ on pretreatment characteristics that influence outcomes. Propensity score methods can theoretically eliminate these confounds...

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Veröffentlicht in:	Psychological methods 2004-12, Vol.9 (4), p.403-425
Hauptverfasser:	McCaffrey, Daniel F, Ridgeway, Greg, Morral, Andrew R
Format:	Artikel
Sprache:	eng
Schlagworte:	Adolescents Biological and medical sciences Causal Analysis Causal Models Drug Abuse Evaluation Methods Evaluation Research Evaluation Studies as Topic Female Fundamental and applied biological sciences. Psychology Human Humans Male Models, Psychological Observation Outcome Assessment (Health Care) - statistics & numerical data Psychology. Psychoanalysis. Psychiatry Psychology. Psychophysiology Psychometrics - statistics & numerical data Psychometrics. Statistics. Methodology Regression (Statistics) Scores Statistical Analysis Statistical Estimation Statistical Inference Statistical Measurement Statistics. Mathematics Substance Abuse Substance Use Treatment Substance-Related Disorders - therapy Treatment Outcomes
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