Literature DB >> 27417978

Caution: work in progress : While the methodological "revolution" deserves in-depth study, clinical researchers and senior epidemiologists should not be disenfranchised.

Miquel Porta1,2,3, Francisco Bolúmar4,5.   

Abstract

Keywords:  Clinical research; Directed acyclic graphs (DAGs); Methods; Paradox

Mesh：

Year:  2016        PMID： 27417978     DOI： 10.1007/s10654-016-0181-3

Source DB:  PubMed          Journal:  Eur J Epidemiol        ISSN： 0393-2990            Impact factor:   8.082


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  74 in total

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

Authors:  J M Robins
Journal:  Epidemiology       Date:  2001-05       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.  Epidemiology in a changing world: variation, causation and ubiquitous risk factors.

Authors:  Neil Pearce
Journal:  Int J Epidemiol       Date:  2011-01-18       Impact factor: 7.196

4.  The current deconstruction of paradoxes: one sign of the ongoing methodological "revolution".

Authors:  Miquel Porta; Paolo Vineis; Francisco Bolúmar
Journal:  Eur J Epidemiol       Date:  2015-07-12       Impact factor: 8.082

5.  Bounds on sufficient-cause interaction.

Authors:  Arvid Sjölander; Woojoo Lee; Henrik Källberg; Yudi Pawitan
Journal:  Eur J Epidemiol       Date:  2014-09-24       Impact factor: 8.082

6.  The detection of vector-borne-disease-related DNA in human stool paves the way to large epidemiological studies.

Authors:  Alpha Kabinet Keita; Florence Fenollar; Cristina Socolovschi; Pavel Ratmanov; Hubert Bassene; Cheikh Sokhna; Adama Tall; Oleg Mediannikov; Didier Raoult
Journal:  Eur J Epidemiol       Date:  2015-03-22       Impact factor: 8.082

7.  Emergency admission for cancer: a matter of survival?

Authors:  M Porta; E Fernandez; J Belloc; N Malats; M Gallén; J Alonso
Journal:  Br J Cancer       Date:  1998       Impact factor: 7.640

8.  The obesity paradox in acute coronary syndrome: a meta-analysis.

Authors:  Jacek Niedziela; Bartosz Hudzik; Natalia Niedziela; Mariusz Gąsior; Marek Gierlotka; Jarosław Wasilewski; Krzysztof Myrda; Andrzej Lekston; Lech Poloński; Piotr Rozentryt
Journal:  Eur J Epidemiol       Date:  2014-10-30       Impact factor: 8.082

9.  How much do tumor stage and treatment explain socioeconomic inequalities in breast cancer survival? Applying causal mediation analysis to population-based data.

Authors:  Ruoran Li; Rhian Daniel; Bernard Rachet
Journal:  Eur J Epidemiol       Date:  2016-05-10       Impact factor: 8.082

Review 10.  Outcome modelling strategies in epidemiology: traditional methods and basic alternatives.

Authors:  Sander Greenland; Rhian Daniel; Neil Pearce
Journal:  Int J Epidemiol       Date:  2016-04-20       Impact factor: 7.196
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  5 in total

1.  A note of thanks and an invitation.

Authors:  Albert Hofman
Journal:  Eur J Epidemiol       Date:  2018-12       Impact factor: 8.082

2.  For and Against Methodologies: Some Perspectives on Recent Causal and Statistical Inference Debates.

Authors:  Sander Greenland
Journal:  Eur J Epidemiol       Date:  2017-02-20       Impact factor: 8.082

3.  The methodological 'revolution': caution accepted.

Authors:  Jørn Olsen; Maduri Sudan; Onyebuchi A Arah; Leeka Kheifets
Journal:  Eur J Epidemiol       Date:  2016-08-30       Impact factor: 8.082

4.  The Rotterdam Study: 2018 update on objectives, design and main results.

Authors:  M Arfan Ikram; Guy G O Brusselle; Sarwa Darwish Murad; Cornelia M van Duijn; Oscar H Franco; André Goedegebure; Caroline C W Klaver; Tamar E C Nijsten; Robin P Peeters; Bruno H Stricker; Henning Tiemeier; André G Uitterlinden; Meike W Vernooij; Albert Hofman
Journal:  Eur J Epidemiol       Date:  2017-10-24       Impact factor: 8.082

5.  Causal Inference in Environmental Epidemiology: Old and New Approaches.

Authors:  Neil Pearce; Jan P Vandenbroucke; Deborah A Lawlor
Journal:  Epidemiology       Date:  2019-05       Impact factor: 4.822
  5 in total

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