Literature DB >> 31975656

The Challenges of Parameterizing Direct Effects in Individual-Level Simulation Models.

Eleanor J Murray1, James M Robins1,2, George R Seage1, Kenneth A Freedberg3,4, Miguel A Hernán1,2,5.   

Abstract

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Year:  2020        PMID: 31975656      PMCID: PMC6989037          DOI: 10.1177/0272989X19894940

Source DB:  PubMed          Journal:  Med Decis Making        ISSN: 0272-989X            Impact factor:   2.583


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  9 in total

1.  Study designs for dependent happenings.

Authors:  M E Halloran; C J Struchiner
Journal:  Epidemiology       Date:  1991-09       Impact factor: 4.822

2.  Toward Causal Inference With Interference.

Authors:  Michael G Hudgens; M Elizabeth Halloran
Journal:  J Am Stat Assoc       Date:  2008-06       Impact factor: 5.033

3.  State-transition modeling: a report of the ISPOR-SMDM Modeling Good Research Practices Task Force--3.

Authors:  Uwe Siebert; Oguzhan Alagoz; Ahmed M Bayoumi; Beate Jahn; Douglas K Owens; David J Cohen; Karen M Kuntz
Journal:  Value Health       Date:  2012 Sep-Oct       Impact factor: 5.725

4.  Using Observational Data to Calibrate Simulation Models.

Authors:  Eleanor J Murray; James M Robins; George R Seage; Sara Lodi; Emily P Hyle; Krishna P Reddy; Kenneth A Freedberg; Miguel A Hernán
Journal:  Med Decis Making       Date:  2017-11-15       Impact factor: 2.583

5.  A Comparison of Agent-Based Models and the Parametric G-Formula for Causal Inference.

Authors:  Eleanor J Murray; James M Robins; George R Seage; Kenneth A Freedberg; Miguel A Hernán
Journal:  Am J Epidemiol       Date:  2017-07-15       Impact factor: 4.897

Review 6.  Does water kill? A call for less casual causal inferences.

Authors:  Miguel A Hernán
Journal:  Ann Epidemiol       Date:  2016-08-31       Impact factor: 3.797

7.  On the causal interpretation of race in regressions adjusting for confounding and mediating variables.

Authors:  Tyler J VanderWeele; Whitney R Robinson
Journal:  Epidemiology       Date:  2014-07       Impact factor: 4.822

8.  DAG-informed regression modelling, agent-based modelling and microsimulation modelling: a critical comparison of methods for causal inference.

Authors:  Kellyn F Arnold; Wendy J Harrison; Alison J Heppenstall; Mark S Gilthorpe
Journal:  Int J Epidemiol       Date:  2019-02-01       Impact factor: 7.196

Review 9.  Individual-based simulation models of HIV transmission: reporting quality and recommendations.

Authors:  Nadia N Abuelezam; Kathryn Rough; George R Seage
Journal:  PLoS One       Date:  2013-09-30       Impact factor: 3.240

  9 in total
  5 in total

1.  G-Computation and Agent-Based Modeling for Social Epidemiology: Can Population Interventions Prevent Posttraumatic Stress Disorder?

Authors:  Stephen J Mooney; Aaron B Shev; Katherine M Keyes; Melissa Tracy; Magdalena Cerdá
Journal:  Am J Epidemiol       Date:  2022-01-01       Impact factor: 5.363

2.  Emulating Target Trials to Improve Causal Inference From Agent-Based Models.

Authors:  Eleanor J Murray; Brandon D L Marshall; Ashley L Buchanan
Journal:  Am J Epidemiol       Date:  2021-08-01       Impact factor: 4.897

3.  A biologist's guide to model selection and causal inference.

Authors:  Zachary M Laubach; Eleanor J Murray; Kim L Hoke; Rebecca J Safran; Wei Perng
Journal:  Proc Biol Sci       Date:  2021-01-27       Impact factor: 5.349

4.  Sensitivity Analysis of a Transmission Interruption Model for the Soil-Transmitted Helminth Infections in Kenya.

Authors:  Collins Okoyo; Nelson Onyango; Idah Orowe; Charles Mwandawiro; Graham Medley
Journal:  Front Public Health       Date:  2022-03-25

5.  Complex systems models for causal inference in social epidemiology.

Authors:  Hiba N Kouser; Ruby Barnard-Mayers; Eleanor Murray
Journal:  J Epidemiol Community Health       Date:  2020-11-10       Impact factor: 3.710

  5 in total

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