Literature DB >> 30840182

Theory meets practice: a commentary on VanderWeele's 'principles of confounder selection'.

Sebastian Schneeweiss1.   

Abstract

Year:  2019        PMID： 30840182     DOI： 10.1007/s10654-019-00495-5

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


× No keyword cloud information.
  12 in total

1.  Effects of adjusting for instrumental variables on bias and precision of effect estimates.

Authors:  Jessica A Myers; Jeremy A Rassen; Joshua J Gagne; Krista F Huybrechts; Sebastian Schneeweiss; Kenneth J Rothman; Marshall M Joffe; Robert J Glynn
Journal:  Am J Epidemiol       Date:  2011-10-24       Impact factor: 4.897

Review 2.  A review of uses of health care utilization databases for epidemiologic research on therapeutics.

Authors:  Sebastian Schneeweiss; Jerry Avorn
Journal:  J Clin Epidemiol       Date:  2005-04       Impact factor: 6.437

Review 3.  Addressing limitations in observational studies of the association between glucose-lowering medications and all-cause mortality: a review.

Authors:  Elisabetta Patorno; Elizabeth M Garry; Amanda R Patrick; Sebastian Schneeweiss; Victoria G Gillet; Olesya Zorina; Dorothee B Bartels; John D Seeger
Journal:  Drug Saf       Date:  2015-03       Impact factor: 5.606

4.  Variable Selection for Confounding Adjustment in High-dimensional Covariate Spaces When Analyzing Healthcare Databases.

Authors:  Sebastian Schneeweiss; Wesley Eddings; Robert J Glynn; Elisabetta Patorno; Jeremy Rassen; Jessica M Franklin
Journal:  Epidemiology       Date:  2017-03       Impact factor: 4.822

5.  Implications of M bias in epidemiologic studies: a simulation study.

Authors:  Wei Liu; M Alan Brookhart; Sebastian Schneeweiss; Xiaojuan Mi; Soko Setoguchi
Journal:  Am J Epidemiol       Date:  2012-10-25       Impact factor: 4.897

6.  Using Super Learner Prediction Modeling to Improve High-dimensional Propensity Score Estimation.

Authors:  Richard Wyss; Sebastian Schneeweiss; Mark van der Laan; Samuel D Lendle; Cheng Ju; Jessica M Franklin
Journal:  Epidemiology       Date:  2018-01       Impact factor: 4.822

7.  A basic study design for expedited safety signal evaluation based on electronic healthcare data.

Authors:  Sebastian Schneeweiss
Journal:  Pharmacoepidemiol Drug Saf       Date:  2010-08       Impact factor: 2.890

8.  Collaborative-controlled LASSO for constructing propensity score-based estimators in high-dimensional data.

Authors:  Cheng Ju; Richard Wyss; Jessica M Franklin; Sebastian Schneeweiss; Jenny Häggström; Mark J van der Laan
Journal:  Stat Methods Med Res       Date:  2017-12-11       Impact factor: 3.021

9.  Agreement between drug treatment data and a discharge diagnosis of diabetes mellitus in the elderly.

Authors:  R J Glynn; M Monane; J H Gurwitz; I Choodnovskiy; J Avorn
Journal:  Am J Epidemiol       Date:  1999-03-15       Impact factor: 4.897

10.  Sentinel Modular Program for Propensity Score-Matched Cohort Analyses: Application to Glyburide, Glipizide, and Serious Hypoglycemia.

Authors:  Meijia Zhou; Shirley V Wang; Charles E Leonard; Joshua J Gagne; Candace Fuller; Christian Hampp; Patrick Archdeacon; Sengwee Toh; Aarthi Iyer; Tiffany Siu Woodworth; Elizabeth Cavagnaro; Catherine A Panozzo; Sophia Axtman; Ryan M Carnahan; Elizabeth A Chrischilles; Sean Hennessy
Journal:  Epidemiology       Date:  2017-11       Impact factor: 4.822
View more
  2 in total

1.  On the relationship of machine learning with causal inference.

Authors:  Sheng-Hsuan Lin; Mohammad Arfan Ikram
Journal:  Eur J Epidemiol       Date:  2019-09-27       Impact factor: 8.082

2.  Transparency of high-dimensional propensity score analyses: Guidance for diagnostics and reporting.

Authors:  John Tazare; Richard Wyss; Jessica M Franklin; Liam Smeeth; Stephen J W Evans; Shirley V Wang; Sebastian Schneeweiss; Ian J Douglas; Joshua J Gagne; Elizabeth J Williamson
Journal:  Pharmacoepidemiol Drug Saf       Date:  2022-02-12       Impact factor: 2.732
  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.