Literature DB >> 30859577

Instrumental variables: Don't throw the baby out with the bathwater.

Luke Keele1, Dylan Small1.   

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Year:  2019        PMID： 30859577      PMCID： PMC6505569          DOI： 10.1111/1475-6773.13130

Source DB:  PubMed          Journal:  Health Serv Res        ISSN： 0017-9124            Impact factor:   3.402


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  18 in total

1.  Falsification Testing of Instrumental Variables Methods for Comparative Effectiveness Research.

Authors:  Steven D Pizer
Journal:  Health Serv Res       Date:  2015-08-21       Impact factor: 3.402

2.  Toward a clearer portrayal of confounding bias in instrumental variable applications.

Authors:  John W Jackson; Sonja A Swanson
Journal:  Epidemiology       Date:  2015-07       Impact factor: 4.822

3.  Commentary: how to report instrumental variable analyses (suggestions welcome).

Authors:  Sonja A Swanson; Miguel A Hernán
Journal:  Epidemiology       Date:  2013-05       Impact factor: 4.822

Review 4.  Potential bias of instrumental variable analyses for observational comparative effectiveness research.

Authors:  Laura Faden Garabedian; Paula Chu; Sengwee Toh; Alan M Zaslavsky; Stephen B Soumerai
Journal:  Ann Intern Med       Date:  2014-07-15       Impact factor: 25.391

5.  Graphical Diagnosis of Confounding Bias in Instrumental Variable Analysis.

Authors:  Qingyuan Zhao; Dylan S Small
Journal:  Epidemiology       Date:  2018-07       Impact factor: 4.822

6.  Near/far matching: a study design approach to instrumental variables.

Authors:  Mike Baiocchi; Dylan S Small; Lin Yang; Daniel Polsky; Peter W Groeneveld
Journal:  Health Serv Outcomes Res Methodol       Date:  2012-06-09

7.  Follow Your Heart: Survival Chances and Costs after Heart Attacks-An Instrumental Variable Approach.

Authors:  Alice Sanwald; Thomas Schober
Journal:  Health Serv Res       Date:  2016-07-21       Impact factor: 3.402

8.  Does more intensive treatment of acute myocardial infarction in the elderly reduce mortality? Analysis using instrumental variables.

Authors:  M McClellan; B J McNeil; J P Newhouse
Journal:  JAMA       Date:  1994-09-21       Impact factor: 56.272

9.  How to compare instrumental variable and conventional regression analyses using negative controls and bias plots.

Authors:  Neil M Davies; Kyla H Thomas; Amy E Taylor; Gemma M J Taylor; Richard M Martin; Marcus R Munafò; Frank Windmeijer
Journal:  Int J Epidemiol       Date:  2017-12-01       Impact factor: 7.196

10.  Estimating causal effects: considering three alternatives to difference-in-differences estimation.

Authors:  Stephen O'Neill; Noémi Kreif; Richard Grieve; Matthew Sutton; Jasjeet S Sekhon
Journal:  Health Serv Outcomes Res Methodol       Date:  2016-05-07
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  3 in total

1.  Instrumental variables: The power of wishful thinking vs the confounded reality of comparative effectiveness research.

Authors:  Stephen B Soumerai; Ross Koppel
Journal:  Health Serv Res       Date:  2019-03-12       Impact factor: 3.402

2.  Local Instrumental Variable Methods to Address Confounding and Heterogeneity when Using Electronic Health Records: An Application to Emergency Surgery.

Authors:  Silvia Moler-Zapata; Richard Grieve; David Lugo-Palacios; A Hutchings; R Silverwood; Luke Keele; Tommaso Kircheis; David Cromwell; Neil Smart; Robert Hinchliffe; Stephen O'Neill
Journal:  Med Decis Making       Date:  2022-05-24       Impact factor: 2.749

3.  Association of Rural Hospital Admissions with Access, Treatment, and Mortality for Patients with Acute Myocardial Infarction in Shanxi, China.

Authors:  Ding Tao; Ya Sun
Journal:  Int J Environ Res Public Health       Date:  2022-05-24       Impact factor: 4.614
  3 in total

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