Literature DB >> 32623620

Counterfactual prediction is not only for causal inference.

Barbra A Dickerman1, Miguel A Hernán2,3,4.   

Abstract

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Year:  2020        PMID: 32623620      PMCID: PMC7393612          DOI: 10.1007/s10654-020-00659-8

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


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  7 in total

1.  Using Big Data to Emulate a Target Trial When a Randomized Trial Is Not Available.

Authors:  Miguel A Hernán; James M Robins
Journal:  Am J Epidemiol       Date:  2016-03-18       Impact factor: 4.897

2.  Cautions as Regulators Move to End Exclusive Reliance on Intention to Treat.

Authors:  Miguel A Hernán; Daniel Scharfstein
Journal:  Ann Intern Med       Date:  2018-03-20       Impact factor: 25.391

3.  Prognostic models will be victims of their own success, unless….

Authors:  Matthew C Lenert; Michael E Matheny; Colin G Walsh
Journal:  J Am Med Inform Assoc       Date:  2019-12-01       Impact factor: 4.497

4.  Accounting for treatment use when validating a prognostic model: a simulation study.

Authors:  Romin Pajouheshnia; Linda M Peelen; Karel G M Moons; Johannes B Reitsma; Rolf H H Groenwold
Journal:  BMC Med Res Methodol       Date:  2017-07-14       Impact factor: 4.615

5.  Prediction meets causal inference: the role of treatment in clinical prediction models.

Authors:  Nan van Geloven; Sonja A Swanson; Chava L Ramspek; Kim Luijken; Merel van Diepen; Tim P Morris; Rolf H H Groenwold; Hans C van Houwelingen; Hein Putter; Saskia le Cessie
Journal:  Eur J Epidemiol       Date:  2020-05-22       Impact factor: 8.082

6.  Explicit causal reasoning is needed to prevent prognostic models being victims of their own success.

Authors:  Matthew Sperrin; David Jenkins; Glen P Martin; Niels Peek
Journal:  J Am Med Inform Assoc       Date:  2019-12-01       Impact factor: 4.497

7.  Using marginal structural models to adjust for treatment drop-in when developing clinical prediction models.

Authors:  Matthew Sperrin; Glen P Martin; Alexander Pate; Tjeerd Van Staa; Niels Peek; Iain Buchan
Journal:  Stat Med       Date:  2018-08-02       Impact factor: 2.373

  7 in total
  11 in total

Review 1.  All-Cause Mortality Risk Prediction in Older Adults with Cancer: Practical Approaches and Limitations.

Authors:  Andrea Perez-de-Acha; Sophie Pilleron; Enrique Soto-Perez-de-Celis
Journal:  Curr Oncol Rep       Date:  2022-06-01       Impact factor: 5.075

2.  Predicting counterfactual risks under hypothetical treatment strategies: an application to HIV.

Authors:  Barbra A Dickerman; Issa J Dahabreh; Krystal V Cantos; Roger W Logan; Sara Lodi; Christopher T Rentsch; Amy C Justice; Miguel A Hernán
Journal:  Eur J Epidemiol       Date:  2022-02-22       Impact factor: 12.434

Review 3.  A scoping review of causal methods enabling predictions under hypothetical interventions.

Authors:  Lijing Lin; Matthew Sperrin; David A Jenkins; Glen P Martin; Niels Peek
Journal:  Diagn Progn Res       Date:  2021-02-04

4.  Prospective Validation of an Electronic Health Record-Based, Real-Time Suicide Risk Model.

Authors:  Colin G Walsh; Kevin B Johnson; Michael Ripperger; Sarah Sperry; Joyce Harris; Nathaniel Clark; Elliot Fielstein; Laurie Novak; Katelyn Robinson; William W Stead
Journal:  JAMA Netw Open       Date:  2021-03-01

Review 5.  Prediction or causality? A scoping review of their conflation within current observational research.

Authors:  Chava L Ramspek; Ewout W Steyerberg; Richard D Riley; Frits R Rosendaal; Olaf M Dekkers; Friedo W Dekker; Merel van Diepen
Journal:  Eur J Epidemiol       Date:  2021-08-15       Impact factor: 8.082

Review 6.  Methods for Evaluating Environmental Health Impacts at Different Stages of the Policy Process in Cities.

Authors:  Jaime Benavides; Sebastian T Rowland; Jenni A Shearston; Yanelli Nunez; Darby W Jack; Marianthi-Anna Kioumourtzoglou
Journal:  Curr Environ Health Rep       Date:  2022-04-07

7.  Validating the knowledge bank approach for personalized prediction of survival in acute myeloid leukemia: a reproducibility study.

Authors:  Yujun Xu; Ulrich Mansmann
Journal:  Hum Genet       Date:  2022-04-16       Impact factor: 5.881

8.  A tutorial on individualized treatment effect prediction from randomized trials with a binary endpoint.

Authors:  Jeroen Hoogland; Joanna IntHout; Michail Belias; Maroeska M Rovers; Richard D Riley; Frank E Harrell; Karel G M Moons; Thomas P A Debray; Johannes B Reitsma
Journal:  Stat Med       Date:  2021-08-16       Impact factor: 2.497

9.  Multiple imputation to quantify misclassification in observational studies of the cognitively impaired: an application for pain assessment in nursing home residents.

Authors:  Anthony P Nunes; Danni Zhao; William M Jesdale; Kate L Lapane
Journal:  BMC Med Res Methodol       Date:  2021-06-26       Impact factor: 4.615

10.  Prediction models for covid-19 outcomes.

Authors:  Matthew Sperrin; Brian McMillan
Journal:  BMJ       Date:  2020-10-20
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