Literature DB >> 8793355

Confounding by indication.

A M Walker.   

Abstract

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Year:  1996        PMID： 8793355

Source DB:  PubMed          Journal:  Epidemiology        ISSN： 1044-3983            Impact factor:   4.822


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  122 in total

1.  Applying propensity scores estimated in a full cohort to adjust for confounding in subgroup analyses.

Authors:  Jeremy A Rassen; Robert J Glynn; Kenneth J Rothman; Soko Setoguchi; Sebastian Schneeweiss
Journal:  Pharmacoepidemiol Drug Saf       Date:  2011-12-08       Impact factor: 2.890

2.  Comparison of different approaches to confounding adjustment in a study on the association of antipsychotic medication with mortality in older nursing home patients.

Authors:  Krista F Huybrechts; M Alan Brookhart; Kenneth J Rothman; Rebecca A Silliman; Tobias Gerhard; Stephen Crystal; Sebastian Schneeweiss
Journal:  Am J Epidemiol       Date:  2011-09-20       Impact factor: 4.897

3.  Improved comorbidity adjustment for predicting mortality in Medicare populations.

Authors:  Sebastian Schneeweiss; Philip S Wang; Jerry Avorn; Robert J Glynn
Journal:  Health Serv Res       Date:  2003-08       Impact factor: 3.402

4.  Bias.

Authors:  Miguel Delgado-Rodríguez; Javier Llorca
Journal:  J Epidemiol Community Health       Date:  2004-08       Impact factor: 3.710

Review 5.  Factors influencing urinary fistula repair outcomes in developing countries: a systematic review.

Authors:  Vera Frajzyngier; Joseph Ruminjo; Mark A Barone
Journal:  Am J Obstet Gynecol       Date:  2012-02-20       Impact factor: 8.661

6.  Risk of liver decompensation with cumulative use of mitochondrial toxic nucleoside analogues in HIV/hepatitis C virus coinfection.

Authors:  Vincent Lo Re; Bret Zeldow; Michael J Kallan; Janet P Tate; Dena M Carbonari; Sean Hennessy; Jay R Kostman; Joseph K Lim; Matthew Bidwell Goetz; Robert Gross; Amy C Justice; Jason A Roy
Journal:  Pharmacoepidemiol Drug Saf       Date:  2017-07-19       Impact factor: 2.890

7.  Assessing residual confounding of the association between antipsychotic medications and risk of death using survey data.

Authors:  Sebastian Schneeweiss; Soko Setoguchi; M Alan Brookhart; Liljana Kaci; Philip S Wang
Journal:  CNS Drugs       Date:  2009       Impact factor: 5.749

8.  Propensity scores for confounder adjustment when assessing the effects of medical interventions using nonexperimental study designs.

Authors:  T Stürmer; R Wyss; R J Glynn; M A Brookhart
Journal:  J Intern Med       Date:  2014-02-13       Impact factor: 8.989

Review 9.  Propensity score methods to control for confounding in observational cohort studies: a statistical primer and application to endoscopy research.

Authors:  Jeff Y Yang; Michael Webster-Clark; Jennifer L Lund; Robert S Sandler; Evan S Dellon; Til Stürmer
Journal:  Gastrointest Endosc       Date:  2019-04-30       Impact factor: 9.427

10.  Early clinical and programmatic outcomes with tenofovir-based antiretroviral therapy in Zambia.

Authors:  Benjamin H Chi; Albert Mwango; Mark Giganti; Lloyd B Mulenga; Bushimbwa Tambatamba-Chapula; Stewart E Reid; Carolyn Bolton-Moore; Namwinga Chintu; Priscilla L Mulenga; Elizabeth M Stringer; Robert Sheneberger; Peter Mwaba; Jeffrey S A Stringer
Journal:  J Acquir Immune Defic Syndr       Date:  2010-05-01       Impact factor: 3.731
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