Literature DB >> 29390115

Inverse Probability Weights for the Analysis of Polytomous Outcomes.

David B Richardson1, Alan C Kinlaw1,2, Alexander P Keil1, Ashley I Naimi3, Jay S Kaufman4, Stephen R Cole1.   

Abstract

Mesh:

Year:  2018        PMID: 29390115      PMCID: PMC5928462          DOI: 10.1093/aje/kwy020

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


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  4 in total

1.  Marginal structural models and causal inference in epidemiology.

Authors:  J M Robins; M A Hernán; B Brumback
Journal:  Epidemiology       Date:  2000-09       Impact factor: 4.822

2.  Marginal structural models as a tool for standardization.

Authors:  Tosiya Sato; Yutaka Matsuyama
Journal:  Epidemiology       Date:  2003-11       Impact factor: 4.822

3.  Estimating causal effects from epidemiological data.

Authors:  Miguel A Hernán; James M Robins
Journal:  J Epidemiol Community Health       Date:  2006-07       Impact factor: 3.710

4.  Constructing inverse probability weights for continuous exposures: a comparison of methods.

Authors:  Ashley I Naimi; Erica E M Moodie; Nathalie Auger; Jay S Kaufman
Journal:  Epidemiology       Date:  2014-03       Impact factor: 4.822

  4 in total
  1 in total

1.  Postoperative Use of Biologics was Less Common among Patients with Crohn's Disease With Emergent/Urgent Versus Elective Intestinal Resection.

Authors:  Joehl T Nguyen; Edward L Barnes; Carolyn T Thorpe; Karyn B Stitzenberg; Casey R Tak; Alan C Kinlaw
Journal:  Gastro Hep Adv       Date:  2022-06-13
  1 in total

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