Literature DB >> 26507306

Counterpoint: epidemiology to guide decision-making: moving away from practice-free research.

Miguel A Hernán.   

Abstract

Analyses of observational data aimed at supporting decision-making are ideally framed as a contrast between well-defined treatment strategies. These analyses compare individuals' outcomes from the start of the treatment strategies under consideration. Exceptions to this synchronizing of the start of follow-up and the treatment strategies may be justified on a case-by-case basis.
© The Author 2015. Published by Oxford University Press on behalf of the Johns Hopkins Bloomberg School of Public Health. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.

Keywords:  causal inference; decision-making; left truncation; survival curves

Mesh：

Year:  2015        PMID： 26507306      PMCID： PMC4634308          DOI： 10.1093/aje/kwv215

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


  22 in total

1.  Causal knowledge as a prerequisite for confounding evaluation: an application to birth defects epidemiology.

Authors:  Miguel A Hernán; Sonia Hernández-Díaz; Martha M Werler; Allen A Mitchell
Journal:  Am J Epidemiol       Date:  2002-01-15       Impact factor: 4.897

Review 2.  Immortal time bias in pharmaco-epidemiology.

Authors:  Samy Suissa
Journal:  Am J Epidemiol       Date:  2007-12-03       Impact factor: 4.897

3.  Does obesity shorten life? The importance of well-defined interventions to answer causal questions.

Authors:  M A Hernán; S L Taubman
Journal:  Int J Obes (Lond)       Date:  2008-08       Impact factor: 5.095

Review 4.  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

5.  A graphical approach to the identification and estimation of causal parameters in mortality studies with sustained exposure periods.

Authors:  J Robins
Journal:  J Chronic Dis       Date:  1987

6.  Clinical biostatistics. XI. Sources of 'chronology bias' in cohort statistics.

Authors:  A R Feinstein
Journal:  Clin Pharmacol Ther       Date:  1971 Sep-Oct       Impact factor: 6.875

7.  A critique of the statistical evidence associating estrogens with endometrial cancer.

Authors:  A R Feinstein; R I Horwitz
Journal:  Cancer Res       Date:  1978-11       Impact factor: 12.701

8.  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

9.  Evaluating medication effects outside of clinical trials: new-user designs.

Authors:  Wayne A Ray
Journal:  Am J Epidemiol       Date:  2003-11-01       Impact factor: 4.897

10.  Estrogen plus progestin and the risk of coronary heart disease.

Authors:  JoAnn E Manson; Judith Hsia; Karen C Johnson; Jacques E Rossouw; Annlouise R Assaf; Norman L Lasser; Maurizio Trevisan; Henry R Black; Susan R Heckbert; Robert Detrano; Ora L Strickland; Nathan D Wong; John R Crouse; Evan Stein; Mary Cushman
Journal:  N Engl J Med       Date:  2003-08-07       Impact factor: 91.245
View more
  25 in total

Review 1.  From Epidemiologic Knowledge to Improved Health: A Vision for Translational Epidemiology.

Authors:  Michael Windle; Hojoon D Lee; Sarah T Cherng; Catherine R Lesko; Colleen Hanrahan; John W Jackson; Mara McAdams-DeMarco; Stephan Ehrhardt; Stefan D Baral; Gypsyamber D'Souza; David W Dowdy
Journal:  Am J Epidemiol       Date:  2019-12-31       Impact factor: 4.897

2.  Mediators of the Association Between Religious Service Attendance and Mortality.

Authors:  Eric S Kim; Tyler J VanderWeele
Journal:  Am J Epidemiol       Date:  2019-01-01       Impact factor: 4.897

3.  Comparative effectiveness and safety of direct oral anticoagulants versus vitamin K antagonists in nonvalvular atrial fibrillation: a Canadian multicentre observational cohort study.

Authors:  Madeleine Durand; Mireille E Schnitzer; Menglan Pang; Greg Carney; Sherif Eltonsy; Kristian B Filion; Anat Fisher; Min Jun; I Fan Kuo; Christel Renoux; J Michael Paterson; Jacqueline Quail; Alexis Matteau
Journal:  CMAJ Open       Date:  2020-12-18

Review 4.  Causal inference and longitudinal data: a case study of religion and mental health.

Authors:  Tyler J VanderWeele; John W Jackson; Shanshan Li
Journal:  Soc Psychiatry Psychiatr Epidemiol       Date:  2016-09-08       Impact factor: 4.328

5.  Electronic medical records can be used to emulate target trials of sustained treatment strategies.

Authors:  Goodarz Danaei; Luis Alberto García Rodríguez; Oscar Fernández Cantero; Roger W Logan; Miguel A Hernán
Journal:  J Clin Epidemiol       Date:  2018-04       Impact factor: 6.437

6.  Perceived neighborhood social cohesion and subsequent health and well-being in older adults: An outcome-wide longitudinal approach.

Authors:  Eric S Kim; Ying Chen; Ichiro Kawachi; Tyler J VanderWeele
Journal:  Health Place       Date:  2020-09-06       Impact factor: 4.078

7.  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

8.  How to estimate the effect of treatment duration on survival outcomes using observational data.

Authors:  Miguel A Hernán
Journal:  BMJ       Date:  2018-02-01

9.  Win-Win: Reconciling Social Epidemiology and Causal Inference.

Authors:  Sandro Galea; Miguel A Hernán
Journal:  Am J Epidemiol       Date:  2020-03-02       Impact factor: 4.897

10.  Primary non-adherence and the new-user design.

Authors:  Xiaojuan Li; Stephen R Cole; Daniel Westreich; M Alan Brookhart
Journal:  Pharmacoepidemiol Drug Saf       Date:  2018-02-19       Impact factor: 2.890
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.