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Literature DB >> 25473593

Confounding and effect modification: distribution and measure.

T J Vander Weele¹.

Abstract

Entities: Chemical Disease Gene Species

Year: 2012 PMID： 25473593 PMCID： PMC4249691 DOI： 10.1515/2161-962X.1004

Source DB: PubMed Journal: Epidemiol Methods ISSN： 2161-962X

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29 in total

1. Principal stratification in causal inference.

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

2. Quantifying biases in causal models: classical confounding vs collider-stratification bias.

Authors: Sander Greenland
Journal: Epidemiology Date: 2003-05 Impact factor: 4.822

3. On the definition of effect modification.

Authors: Eyal Shahar; Doron J Shahar
Journal: Epidemiology Date: 2010-07 Impact factor: 4.822

Review 4. Randomization, statistics, and causal inference.

Authors: S Greenland
Journal: Epidemiology Date: 1990-11 Impact factor: 4.822

Review 5. Ecological bias, confounding, and effect modification.

Authors: S Greenland; H Morgenstern
Journal: Int J Epidemiol Date: 1989-03 Impact factor: 7.196

6. The sign of the bias of unmeasured confounding.

Authors: Tyler J VanderWeele
Journal: Biometrics Date: 2007-12-31 Impact factor: 2.571

7. Bias formulas for sensitivity analysis of unmeasured confounding for general outcomes, treatments, and confounders.

Authors: Tyler J Vanderweele; Onyebuchi A Arah
Journal: Epidemiology Date: 2011-01 Impact factor: 4.822

8. Identifiability, exchangeability, and epidemiological confounding.

Authors: S Greenland; J M Robins
Journal: Int J Epidemiol Date: 1986-09 Impact factor: 7.196

9. Matching and unrelatedness.

Authors: L Fisher; K Patil
Journal: Am J Epidemiol Date: 1974-11 Impact factor: 4.897

10. Effects of prolonged and exclusive breastfeeding on child height, weight, adiposity, and blood pressure at age 6.5 y: evidence from a large randomized trial.

Authors: Michael S Kramer; Lidia Matush; Irina Vanilovich; Robert W Platt; Natalia Bogdanovich; Zinaida Sevkovskaya; Irina Dzikovich; Gyorgy Shishko; Jean-Paul Collet; Richard M Martin; George Davey Smith; Matthew W Gillman; Beverley Chalmers; Ellen Hodnett; Stanley Shapiro
Journal: Am J Clin Nutr Date: 2007-12 Impact factor: 7.045

16 in total

1. All your data are always missing: incorporating bias due to measurement error into the potential outcomes framework.

Authors: Jessie K Edwards; Stephen R Cole; Daniel Westreich
Journal: Int J Epidemiol Date: 2015-04-28 Impact factor: 7.196

2. Effect heterogeneity and variable selection for standardizing causal effects to a target population.

Authors: Anders Huitfeldt; Sonja A Swanson; Mats J Stensrud; Etsuji Suzuki
Journal: Eur J Epidemiol Date: 2019-10-26 Impact factor: 8.082

3. A Bayesian semiparametric latent variable approach to causal mediation.

Authors: Chanmin Kim; Michael Daniels; Yisheng Li; Kathrin Milbury; Lorenzo Cohen
Journal: Stat Med Date: 2017-12-18 Impact factor: 2.373

4. Association between Patellofemoral and medial Tibiofemoral compartment osteoarthritis progression: exploring the effect of body weight using longitudinal data from osteoarthritis initiative (OAI).

Authors: Farhad Pishgar; Ali Guermazi; Amir Ashraf-Ganjouei; Arya Haj-Mirzaian; Frank W Roemer; Bashir Zikria; Christopher Sereni; Michael Hakky; Shadpour Demehri
Journal: Skeletal Radiol Date: 2021-03-08 Impact factor: 2.199

5. Using group data to treat individuals: understanding heterogeneous treatment effects in the age of precision medicine and patient-centred evidence.

Authors: Issa J Dahabreh; Rodney Hayward; David M Kent
Journal: Int J Epidemiol Date: 2016-12-01 Impact factor: 7.196