Literature DB >> 31560086

On the relationship of machine learning with causal inference.

Sheng-Hsuan Lin1, Mohammad Arfan Ikram2,3.   

Abstract

Mesh:

Year:  2019        PMID: 31560086     DOI: 10.1007/s10654-019-00564-9

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


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  5 in total

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

Authors:  Sebastian Schneeweiss
Journal:  Eur J Epidemiol       Date:  2019-03-06       Impact factor: 8.082

Review 2.  Stacked generalization: an introduction to super learning.

Authors:  Ashley I Naimi; Laura B Balzer
Journal:  Eur J Epidemiol       Date:  2018-04-10       Impact factor: 8.082

Review 3.  You are smarter than you think: (super) machine learning in context.

Authors:  Alexander P Keil; Jessie K Edwards
Journal:  Eur J Epidemiol       Date:  2018-05-09       Impact factor: 8.082

4.  The disjunctive cause criterion by VanderWeele: An easy solution to a complex problem?

Authors:  Mohammad Arfan Ikram
Journal:  Eur J Epidemiol       Date:  2019-03-05       Impact factor: 8.082

5.  Principles of confounder selection.

Authors:  Tyler J VanderWeele
Journal:  Eur J Epidemiol       Date:  2019-03-06       Impact factor: 8.082

  5 in total
  8 in total

1.  On the Convergence of Epidemiology, Biostatistics, and Data Science.

Authors:  Neal D Goldstein; Michael T LeVasseur; Leslie A McClure
Journal:  Harv Data Sci Rev       Date:  2020-04-30

2.  Surgery duration: Optimized prediction and causality analysis.

Authors:  Orel Babayoff; Onn Shehory; Meishar Shahoha; Ruth Sasportas; Ahuva Weiss-Meilik
Journal:  PLoS One       Date:  2022-08-29       Impact factor: 3.752

3.  Framework and baseline examination of the German National Cohort (NAKO).

Authors:  Annette Peters; Annette Peters; Karin Halina Greiser; Susanne Göttlicher; Wolfgang Ahrens; Maren Albrecht; Fabian Bamberg; Till Bärnighausen; Heiko Becher; Klaus Berger; Achim Beule; Heiner Boeing; Barbara Bohn; Kerstin Bohnert; Bettina Braun; Hermann Brenner; Robin Bülow; Stefanie Castell; Antje Damms-Machado; Marcus Dörr; Nina Ebert; Margit Ecker; Carina Emmel; Beate Fischer; Claus-Werner Franzke; Sylvia Gastell; Guido Giani; Matthias Günther; Kathrin Günther; Klaus-Peter Günther; Johannes Haerting; Ulrike Haug; Iris M Heid; Margit Heier; Diana Heinemeyer; Thomas Hendel; Florian Herbolsheimer; Jochen Hirsch; Wolfgang Hoffmann; Bernd Holleczek; Heike Hölling; Andreas Hörlein; Karl-Heinz Jöckel; Rudolf Kaaks; André Karch; Stefan Karrasch; Nadja Kartschmit; Hans-Ulrich Kauczor; Thomas Keil; Yvonne Kemmling; Bianca Klee; Birgit Klüppelholz; Alexander Kluttig; Lisa Kofink; Anna Köttgen; Daniel Kraft; Gérard Krause; Lisa Kretz; Lilian Krist; Jan Kühnisch; Oliver Kuß; Nicole Legath; Anna-Therese Lehnich; Michael Leitzmann; Wolfgang Lieb; Jakob Linseisen; Markus Loeffler; Anke Macdonald; Klaus H Maier-Hein; Nina Mangold; Claudia Meinke-Franze; Christa Meisinger; Juliane Melzer; Björn Mergarten; Karin B Michels; Rafael Mikolajczyk; Susanne Moebus; Ulrich Mueller; Matthias Nauck; Thoralf Niendorf; Konstantin Nikolaou; Nadia Obi; Stefan Ostrzinski; Leo Panreck; Iris Pigeot; Tobias Pischon; Irene Pschibul-Thamm; Wolfgang Rathmann; Achim Reineke; Stefanie Roloff; Dan Rujescu; Stefan Rupf; Oliver Sander; Tamara Schikowski; Sabine Schipf; Peter Schirmacher; Christopher L Schlett; Börge Schmidt; Georg Schmidt; Martin Schmidt; Gina Schöne; Holger Schulz; Matthias B Schulze; Alexandra Schweig; Anja M Sedlmeier; Sonja Selder; Julia Six-Merker; Ramona Sowade; Andreas Stang; Oliver Stegle; Karen Steindorf; Gunthard Stübs; Enno Swart; Henning Teismann; Inke Thiele; Sigrid Thierry; Marius Ueffing; Henry Völzke; Sabina Waniek; Andrea Weber; Nicole Werner; H-Erich Wichmann; Stefan N Willich; Kerstin Wirkner; Kathrin Wolf; Robert Wolff; Hajo Zeeb; Melanie Zinkhan; Johannes Zschocke
Journal:  Eur J Epidemiol       Date:  2022-10-19       Impact factor: 12.434

4.  G-computation and machine learning for estimating the causal effects of binary exposure statuses on binary outcomes.

Authors:  Florent Le Borgne; Arthur Chatton; Maxime Léger; Rémi Lenain; Yohann Foucher
Journal:  Sci Rep       Date:  2021-01-14       Impact factor: 4.379

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

6.  Can Robots Do Epidemiology? Machine Learning, Causal Inference, and Predicting the Outcomes of Public Health Interventions.

Authors:  Alex Broadbent; Thomas Grote
Journal:  Philos Technol       Date:  2022-02-26

Review 7.  Perspectives on Sex- and Gender-Specific Prediction of New-Onset Atrial Fibrillation by Leveraging Big Data.

Authors:  Sven Geurts; Zuolin Lu; Maryam Kavousi
Journal:  Front Cardiovasc Med       Date:  2022-07-11

8.  Artificial Intelligence Analysis of Magnetic Particle Imaging for Islet Transplantation in a Mouse Model.

Authors:  Hasaan Hayat; Aixia Sun; Hanaan Hayat; Sihai Liu; Nazanin Talebloo; Cody Pinger; Jack Owen Bishop; Mithil Gudi; Bennett Francis Dwan; Xiaohong Ma; Yanfeng Zhao; Anna Moore; Ping Wang
Journal:  Mol Imaging Biol       Date:  2020-08-24       Impact factor: 3.488

  8 in total

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