Literature DB >> 22157299

Commentary: The wizard of odds.

Richard F MacLehose1, Jay S Kaufman.   

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Year:  2012        PMID： 22157299      PMCID： PMC3253427          DOI： 10.1097/EDE.0b013e31823b5492

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


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  7 in total

1.  Postmenopausal hormone use, screening, and breast cancer: characterization and control of a bias.

Authors:  M M Joffe; C Byrne; G A Colditz
Journal:  Epidemiology       Date:  2001-07       Impact factor: 4.822

2.  Principal stratification in causal inference.

Authors:  Constantine E Frangakis; Donald B Rubin
Journal:  Biometrics       Date:  2002-03       Impact factor: 2.571

3.  Invited commentary: hypothetical interventions to define causal effects--afterthought or prerequisite?

Authors:  Miguel A Hernán
Journal:  Am J Epidemiol       Date:  2005-08-24       Impact factor: 4.897

4.  Estimation of direct causal effects.

Authors:  Maya L Petersen; Sandra E Sinisi; Mark J van der Laan
Journal:  Epidemiology       Date:  2006-05       Impact factor: 4.822

5.  Restriction as a method for reducing bias in the estimation of direct effects.

Authors:  M M Joffe; G A Colditz
Journal:  Stat Med       Date:  1998-10-15       Impact factor: 2.373

6.  Is there a direct effect of pre-eclampsia on cerebral palsy not through preterm birth?

Authors:  Tyler J VanderWeele; Sonia Hernández-Diaz
Journal:  Paediatr Perinat Epidemiol       Date:  2010-12-09       Impact factor: 3.980

7.  Conditioning on intermediates in perinatal epidemiology.

Authors:  Tyler J VanderWeele; Sunni L Mumford; Enrique F Schisterman
Journal:  Epidemiology       Date:  2012-01       Impact factor: 4.822
  7 in total
  7 in total

1.  Confounding, causality, and confusion: the role of intermediate variables in interpreting observational studies in obstetrics.

Authors:  Cande V Ananth; Enrique F Schisterman
Journal:  Am J Obstet Gynecol       Date:  2017-04-17       Impact factor: 8.661

2.  Mediation analysis with multiple versions of the mediator.

Authors:  Tyler J Vanderweele
Journal:  Epidemiology       Date:  2012-05       Impact factor: 4.822

3.  Three alternative methods to resolve paradoxical associations of exposures before term.

Authors:  Nathalie Auger; Ashley I Naimi; William D Fraser; Jessica Healy-Profitós; Zhong-Cheng Luo; Anne Monique Nuyt; Jay S Kaufman
Journal:  Eur J Epidemiol       Date:  2016-06-20       Impact factor: 8.082

4.  Controlled direct effects of preeclampsia on neonatal health after accounting for mediation by preterm birth.

Authors:  Pauline Mendola; Sunni L Mumford; Tuija I Männistö; Alexander Holston; Uma M Reddy; S Katherine Laughon
Journal:  Epidemiology       Date:  2015-01       Impact factor: 4.822

5.  The Development of Extremely Preterm Infants Born to Women Who Had Genitourinary Infections During Pregnancy.

Authors:  Alan Leviton; Elizabeth N Allred; Karl C K Kuban; T Michael O'Shea; Nigel Paneth; Andrew B Onderdonk; Raina N Fichorova; Olaf Dammann
Journal:  Am J Epidemiol       Date:  2015-12-13       Impact factor: 4.897

6.  Educational note: addressing special cases of bias that frequently occur in perinatal epidemiology.

Authors:  Andreas M Neophytou; Marianthi-Anna Kioumourtzoglou; Dana E Goin; Kristin C Darwin; Joan A Casey
Journal:  Int J Epidemiol       Date:  2021-03-03       Impact factor: 7.196

Review 7.  How do early-life factors explain social inequalities in adolescent mental health? Findings from the UK Millennium Cohort Study.

Authors:  Viviane S Straatmann; Eric Lai; Theis Lange; Melisa Claire Campbell; Sophie Wickham; Anne-Marie Nybo Andersen; Katrine Strandberg-Larsen; David Taylor-Robinson
Journal:  J Epidemiol Community Health       Date:  2019-09-06       Impact factor: 3.710
  7 in total

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