Literature DB >> 24287470

Invited commentary: composite outcomes as an attempt to escape from selection bias and related paradoxes.

Miguel A Hernán, Enrique F Schisterman, Sonia Hernández-Díaz.   

Abstract

This commentary reviews the recent history of explanations to crossover paradoxes such as the birth weight and gestational age paradoxes, with a special emphasis on the current proposal by Kramer et al. in this issue of the Journal (Am J Epidemiol. 2014;179(3):361-367). We contend that the causal structure of these paradoxes is essentially identical to that of several well-known selection biases. We then consider the pros and cons of using composite outcomes to circumvent these selection biases.

Keywords:  causal diagrams; composite outcomes; paradox; selection bias

Mesh:

Year:  2013        PMID: 24287470      PMCID: PMC3895101          DOI: 10.1093/aje/kwt283

Source DB:  PubMed          Journal:  Am J Epidemiol        ISSN: 0002-9262            Impact factor:   4.897


  14 in total

1.  A structural approach to selection bias.

Authors:  Miguel A Hernán; Sonia Hernández-Díaz; James M Robins
Journal:  Epidemiology       Date:  2004-09       Impact factor: 4.822

2.  From causal diagrams to birth weight-specific curves of infant mortality.

Authors:  Sonia Hernández-Díaz; Allen J Wilcox; Enrique F Schisterman; Miguel A Hernán
Journal:  Eur J Epidemiol       Date:  2008-01-26       Impact factor: 8.082

3.  Intersecting birth weight-specific mortality curves: solving the riddle.

Authors:  Olga Basso; Allen J Wilcox
Journal:  Am J Epidemiol       Date:  2009-02-24       Impact factor: 4.897

4.  Analyzing risks of adverse pregnancy outcomes.

Authors:  Michael S Kramer; Xun Zhang; Robert W Platt
Journal:  Am J Epidemiol       Date:  2013-11-27       Impact factor: 4.897

Review 5.  Cigarette smoking and dementia: potential selection bias in the elderly.

Authors:  Miguel A Hernán; Alvaro Alonso; Giancarlo Logroscino
Journal:  Epidemiology       Date:  2008-05       Impact factor: 4.822

Review 6.  On the importance--and the unimportance--of birthweight.

Authors:  A J Wilcox
Journal:  Int J Epidemiol       Date:  2001-12       Impact factor: 7.196

7.  The birth weight "paradox" uncovered?

Authors:  Sonia Hernández-Díaz; Enrique F Schisterman; Miguel A Hernán
Journal:  Am J Epidemiol       Date:  2006-08-24       Impact factor: 4.897

8.  The hazards of hazard ratios.

Authors:  Miguel A Hernán
Journal:  Epidemiology       Date:  2010-01       Impact factor: 4.822

9.  Observational studies analyzed like randomized experiments: an application to postmenopausal hormone therapy and coronary heart disease.

Authors:  Miguel A Hernán; Alvaro Alonso; Roger Logan; Francine Grodstein; Karin B Michels; Walter C Willett; Joann E Manson; James M Robins
Journal:  Epidemiology       Date:  2008-11       Impact factor: 4.822

10.  Quantification of collider-stratification bias and the birthweight paradox.

Authors:  Brian W Whitcomb; Enrique F Schisterman; Neil J Perkins; Robert W Platt
Journal:  Paediatr Perinat Epidemiol       Date:  2009-09       Impact factor: 3.980

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  14 in total

1.  Commentary: Applying a causal road map in settings with time-dependent confounding.

Authors:  Maya L Petersen
Journal:  Epidemiology       Date:  2014-11       Impact factor: 4.822

2.  Deconstructing the smoking-preeclampsia paradox through a counterfactual framework.

Authors:  Miguel Angel Luque-Fernandez; Helga Zoega; Unnur Valdimarsdottir; Michelle A Williams
Journal:  Eur J Epidemiol       Date:  2016-03-14       Impact factor: 8.082

3.  Bias Due to Confounders for the Exposure-Competing Risk Relationship.

Authors:  Catherine R Lesko; Bryan Lau
Journal:  Epidemiology       Date:  2017-01       Impact factor: 4.822

4.  Methodologic Issues When Estimating Risks in Pharmacoepidemiology.

Authors:  Jessie K Edwards; Laura L Hester; Mugdha Gokhale; Catherine R Lesko
Journal:  Curr Epidemiol Rep       Date:  2016-09-13

5.  Maternal obesity and development of the preterm newborn at 2 years.

Authors:  Jelske W van der Burg; Elizabeth N Allred; Karl Kuban; T Michael O'Shea; Olaf Dammann; Alan Leviton
Journal:  Acta Paediatr       Date:  2015-05-29       Impact factor: 2.299

6.  No Right Answers without Knowing Your Question.

Authors:  Enrique F Schisterman; Lindsey A Sjaarda
Journal:  Paediatr Perinat Epidemiol       Date:  2016-01       Impact factor: 3.980

7.  The Effect of Prenatal Treatments on Offspring Events in the Presence of Competing Events: An Application to a Randomized Trial of Fertility Therapies.

Authors:  Yu-Han Chiu; Mats J Stensrud; Issa J Dahabreh; Paolo Rinaudo; Michael P Diamond; John Hsu; Sonia Hernández-Díaz; Miguel A Hernán
Journal:  Epidemiology       Date:  2020-09       Impact factor: 4.860

8.  Missingness in the Setting of Competing Risks: from missing values to missing potential outcomes.

Authors:  Bryan Lau; Catherine Lesko
Journal:  Curr Epidemiol Rep       Date:  2018-03-19

9.  Causal Inference in Studying the Long-Term Health Effects of Disasters: Challenges and Potential Solutions.

Authors:  Koichiro Shiba; Takuya Kawahara; Jun Aida; Katsunori Kondo; Naoki Kondo; Peter James; Mariana Arcaya; Ichiro Kawachi
Journal:  Am J Epidemiol       Date:  2021-09-01       Impact factor: 5.363

10.  Statin adherence and risk of acute cardiovascular events among women: a cohort study accounting for time-dependent confounding affected by previous adherence.

Authors:  Piia Lavikainen; Arja Helin-Salmivaara; Mervi Eerola; Gang Fang; Juha Hartikainen; Risto Huupponen; Maarit Jaana Korhonen
Journal:  BMJ Open       Date:  2016-06-03       Impact factor: 2.692

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