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Literature DB >> 29912314

Daring to draw causal claims from non-randomized studies of primary care interventions.

Nadia Sourial¹, Cristina Longo¹, Isabelle Vedel¹, Tibor Schuster¹.

Abstract

Mesh：

Year: 2018 PMID： 29912314 PMCID： PMC6142715 DOI： 10.1093/fampra/cmy005

Source DB: PubMed Journal: Fam Pract ISSN： 0263-2136 Impact factor: 2.267

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13 in total

1. Evaluating short-term drug effects using a physician-specific prescribing preference as an instrumental variable.

Authors: M Alan Brookhart; Philip S Wang; Daniel H Solomon; Sebastian Schneeweiss
Journal: Epidemiology Date: 2006-05 Impact factor: 4.822

2. Marginal structural models for skewed outcomes: identifying causal relationships in health care utilization.

Authors: Julie Héroux; Erica E M Moodie; Erin Strumpf; Natalie Coyle; Pierre Tousignant; Mamadou Diop
Journal: Stat Med Date: 2013-10-24 Impact factor: 2.373

3. Time-modified confounding.

Authors: Robert W Platt; Enrique F Schisterman; Stephen R Cole
Journal: Am J Epidemiol Date: 2009-08-12 Impact factor: 4.897

Review 4. Application of marginal structural models in pharmacoepidemiologic studies: a systematic review.

Authors: Shibing Yang; Charles B Eaton; Juan Lu; Kate L Lapane
Journal: Pharmacoepidemiol Drug Saf Date: 2014-01-24 Impact factor: 2.890

Review 5. A selective review of the first 20 years of instrumental variables models in health-services research and medicine.

Authors: John Cawley
Journal: J Med Econ Date: 2015-05-21 Impact factor: 2.448

6. Non-randomized studies as a source of complementary, sequential or replacement evidence for randomized controlled trials in systematic reviews on the effects of interventions.

Authors: Holger J Schünemann; Peter Tugwell; Barnaby C Reeves; Elie A Akl; Nancy Santesso; Frederick A Spencer; Beverley Shea; George Wells; Mark Helfand
Journal: Res Synth Methods Date: 2013-03 Impact factor: 5.273

7. Quantifying the mediating effects of smoking and occupational exposures in the relation between education and lung cancer: the ICARE study.

Authors: Gwenn Menvielle; Jeanna-Eve Franck; Loredana Radoï; Marie Sanchez; Joëlle Févotte; Anne-Valérie Guizard; Isabelle Stücker; Danièle Luce
Journal: Eur J Epidemiol Date: 2016-07-14 Impact factor: 8.082

Daring to draw causal claims from non-randomized studies of primary care interventions.

1. Evaluating short-term drug effects using a physician-specific prescribing preference as an instrumental variable.

2. Marginal structural models for skewed outcomes: identifying causal relationships in health care utilization.

3. Time-modified confounding.

Review 4. Application of marginal structural models in pharmacoepidemiologic studies: a systematic review.

Review 5. A selective review of the first 20 years of instrumental variables models in health-services research and medicine.

6. Non-randomized studies as a source of complementary, sequential or replacement evidence for randomized controlled trials in systematic reviews on the effects of interventions.

7. Quantifying the mediating effects of smoking and occupational exposures in the relation between education and lung cancer: the ICARE study.

Review 8. Instrumental variable methods in comparative safety and effectiveness research.

9. A unification of mediation and interaction: a 4-way decomposition.

10. Reducing bias through directed acyclic graphs.

1. Testing group differences for confounder selection in nonrandomized studies: flawed practice.