Literature DB >> 24487210

Commentary: Balancing automated procedures for confounding control with background knowledge.

Richard Wyss1, Til Stürmer.   

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Year:  2014        PMID： 24487210      PMCID： PMC4110964          DOI： 10.1097/EDE.0000000000000068

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


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  17 in total

1.  Causal knowledge as a prerequisite for confounding evaluation: an application to birth defects epidemiology.

Authors:  Miguel A Hernán; Sonia Hernández-Díaz; Martha M Werler; Allen A Mitchell
Journal:  Am J Epidemiol       Date:  2002-01-15       Impact factor: 4.897

2.  Data, design, and background knowledge in etiologic inference.

Authors:  J M Robins
Journal:  Epidemiology       Date:  2001-05       Impact factor: 4.822

3.  Invited commentary: understanding bias amplification.

Authors:  Judea Pearl
Journal:  Am J Epidemiol       Date:  2011-10-27       Impact factor: 4.897

4.  Effects of adjusting for instrumental variables on bias and precision of effect estimates.

Authors:  Jessica A Myers; Jeremy A Rassen; Joshua J Gagne; Krista F Huybrechts; Sebastian Schneeweiss; Kenneth J Rothman; Marshall M Joffe; Robert J Glynn
Journal:  Am J Epidemiol       Date:  2011-10-24       Impact factor: 4.897

5.  Using high-dimensional propensity scores to automate confounding control in a distributed medical product safety surveillance system.

Authors:  Jeremy A Rassen; Sebastian Schneeweiss
Journal:  Pharmacoepidemiol Drug Saf       Date:  2012-01       Impact factor: 2.890

6.  The new Sentinel Network--improving the evidence of medical-product safety.

Authors:  Richard Platt; Marcus Wilson; K Arnold Chan; Joshua S Benner; Janet Marchibroda; Mark McClellan
Journal:  N Engl J Med       Date:  2009-07-27       Impact factor: 91.245

Review 7.  Use of disease risk scores in pharmacoepidemiologic studies.

Authors:  Patrick G Arbogast; Wayne A Ray
Journal:  Stat Methods Med Res       Date:  2008-06-18       Impact factor: 3.021

8.  Implications of M bias in epidemiologic studies: a simulation study.

Authors:  Wei Liu; M Alan Brookhart; Sebastian Schneeweiss; Xiaojuan Mi; Soko Setoguchi
Journal:  Am J Epidemiol       Date:  2012-10-25       Impact factor: 4.897

9.  Confounding adjustment via a semi-automated high-dimensional propensity score algorithm: an application to electronic medical records.

Authors:  Sengwee Toh; Luis A García Rodríguez; Miguel A Hernán
Journal:  Pharmacoepidemiol Drug Saf       Date:  2011-06-30       Impact factor: 2.890

10.  High-dimensional propensity score adjustment in studies of treatment effects using health care claims data.

Authors:  Sebastian Schneeweiss; Jeremy A Rassen; Robert J Glynn; Jerry Avorn; Helen Mogun; M Alan Brookhart
Journal:  Epidemiology       Date:  2009-07       Impact factor: 4.822
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  4 in total

1.  The "Dry-Run" Analysis: A Method for Evaluating Risk Scores for Confounding Control.

Authors:  Richard Wyss; Ben B Hansen; Alan R Ellis; Joshua J Gagne; Rishi J Desai; Robert J Glynn; Til Stürmer
Journal:  Am J Epidemiol       Date:  2017-05-01       Impact factor: 4.897

Review 2.  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

Review 3.  Machine learning for improving high-dimensional proxy confounder adjustment in healthcare database studies: An overview of the current literature.

Authors:  Richard Wyss; Chen Yanover; Tal El-Hay; Dimitri Bennett; Robert W Platt; Andrew R Zullo; Grammati Sari; Xuerong Wen; Yizhou Ye; Hongbo Yuan; Mugdha Gokhale; Elisabetta Patorno; Kueiyu Joshua Lin
Journal:  Pharmacoepidemiol Drug Saf       Date:  2022-07-05       Impact factor: 2.732

Review 4.  Big data for bipolar disorder.

Authors:  Scott Monteith; Tasha Glenn; John Geddes; Peter C Whybrow; Michael Bauer
Journal:  Int J Bipolar Disord       Date:  2016-04-11
  4 in total

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