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

Purpose Propensity scores are used in observational studies to adjust for confounding, although they do not provide control for confounders omitted from the propensity score model. We sought to determine if tests used to evaluate logistic model fit and discrimination would be helpful in detecting th...

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Veröffentlicht in:	Pharmacoepidemiology and drug safety 2005-04, Vol.14 (4), p.227-238
Hauptverfasser:	Weitzen, Sherry, Lapane, Kate L., Toledano, Alicia Y., Hume, Anne L., Mor, Vincent
Format:	Artikel
Sprache:	eng
Schlagworte:	Confounding Factors (Epidemiology) c‐statistic goodness‐of‐fit Humans Hypertension - epidemiology Logistic Models logistic regression Models, Statistical Prognosis propensity score Regression Analysis residual confounding
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