Weaknesses of goodness-of-fit tests for evaluating propensity score models: the case of the omitted confounder

Sherry Weitzen; Kate L. Lapane; Alicia Y. Toledano; Anne L. Hume; Vincent Mor

doi:10.1002/pds.986

Abstract

Omission of important confounders from the propensity score leads to residual confounding in estimates of treatment effect. However, tests of GOF and discrimination do not provide information to detect missing confounders in propensity score models. Our findings suggest that it may not be necessary to compute GOF statistics or model discrimination when developing propensity score models.

Keywords

Propensity score matchingConfoundingStatisticsMedicineObservational studyStatisticLogistic regressionGoodness of fitEconometricsMathematics

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Publication Info

Year: 2004
Type: article
Volume: 14
Issue: 4
Pages: 227-238
Citations: 93
Access: Closed

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APA Style

                            
                                
                                    Sherry Weitzen, 
                                
                                    Kate L. Lapane, 
                                
                                    Alicia Y. Toledano
                                
                                et al.
                            
                            (2004). 
                            Weaknesses of goodness-of-fit tests for evaluating propensity score models: the case of the omitted confounder. 
                            Pharmacoepidemiology and Drug Safety
                            , 14
                            (4)
                            , 227-238.
                            https://doi.org/10.1002/pds.986
                        

Identifiers

DOI: 10.1002/pds.986