Literature DB >> 26771582

A Systematic Review of Propensity Score Methods in the Social Sciences.

Felix J Thoemmes1, Eun Sook Kim2.   

Abstract

The use of propensity scores in psychological and educational research has been steadily increasing in the last 2 to 3 years. However, there are some common misconceptions about the use of different estimation techniques and conditioning choices in the context of propensity score analysis. In addition, reporting practices for propensity score analyses often lack important details that allow other researchers to confidently judge the appropriateness of reported analyses and potentially to replicate published findings. In this article we conduct a systematic literature review of a large number of published articles in major areas of social science that used propensity scores up until the fall of 2009. We identify common errors in estimation, conditioning, and reporting of propensity score analyses and suggest possible solutions.

Year:  2011        PMID: 26771582     DOI: 10.1080/00273171.2011.540475

Source DB:  PubMed          Journal:  Multivariate Behav Res        ISSN: 0027-3171            Impact factor:   5.923


  57 in total

1.  Age variations in cohort differences in the United States: Older adults report fewer constraints nowadays than those 18 years ago, but mastery beliefs are diminished among younger adults.

Authors:  Johanna Drewelies; Stefan Agrigoroaei; Margie E Lachman; Denis Gerstorf
Journal:  Dev Psychol       Date:  2018-06-28

2.  Long-term survival in laparoscopic vs open resection for colorectal liver metastases: inverse probability of treatment weighting using propensity scores.

Authors:  Joel W Lewin; Nicholas A O'Rourke; Adrian K H Chiow; Richard Bryant; Ian Martin; Leslie K Nathanson; David J Cavallucci
Journal:  HPB (Oxford)       Date:  2015-12-10       Impact factor: 3.647

3.  High Central Aortic Rather than Brachial Blood Pressure is Associated with Carotid Wall Remodeling and Increased Arterial Stiffness in Childhood.

Authors:  Gonzalo Peluso; Victoria García-Espinosa; Santiago Curcio; Marco Marota; Juan Castro; Pedro Chiesa; Gustavo Giachetto; Daniel Bia; Yanina Zócalo
Journal:  High Blood Press Cardiovasc Prev       Date:  2017-01-19

4.  A Comparative Effectiveness Analysis of Early Steroid Withdrawal in Black Kidney Transplant Recipients.

Authors:  David J Taber; Kelly J Hunt; Mulugeta Gebregziabher; Titte Srinivas; Kenneth D Chavin; Prabhakar K Baliga; Leonard E Egede
Journal:  Clin J Am Soc Nephrol       Date:  2016-12-15       Impact factor: 8.237

5.  A Two-Step Bayesian Approach for Propensity Score Analysis: Simulations and Case Study.

Authors:  David Kaplan; Jianshen Chen
Journal:  Psychometrika       Date:  2012-03-30       Impact factor: 2.500

Review 6.  [Procalcitonin as a  tool for the assessment of successful therapy of severe sepsis : An analysis using clinical routine data].

Authors:  K F Bodmann; M Schenker; W Heinlein; M H Wilke
Journal:  Med Klin Intensivmed Notfmed       Date:  2016-07-04       Impact factor: 0.840

7.  Reciprocal Relationships between Teacher Ratings of Internalizing and Externalizing Behaviors in Adolescents with Different Levels of Cognitive Abilities.

Authors:  Alexandre J S Morin; A Katrin Arens; Christophe Maïano; Joseph Ciarrochi; Danielle Tracey; Philip D Parker; Rhonda G Craven
Journal:  J Youth Adolesc       Date:  2016-09-23

8.  Differences in cognitive performance between informal caregivers and non-caregivers.

Authors:  Francesca Falzarano; Karen L Siedlecki
Journal:  Neuropsychol Dev Cogn B Aging Neuropsychol Cogn       Date:  2020-04-09

9.  A Propensity Score Method for Investigating Differential Item Functioning in Performance Assessment.

Authors:  Michelle Y Chen; Yan Liu; Bruno D Zumbo
Journal:  Educ Psychol Meas       Date:  2019-10-04       Impact factor: 2.821

10.  Variable Selection for Confounder Control, Flexible Modeling and Collaborative Targeted Minimum Loss-Based Estimation in Causal Inference.

Authors:  Mireille E Schnitzer; Judith J Lok; Susan Gruber
Journal:  Int J Biostat       Date:  2016-05-01       Impact factor: 0.968

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