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Theory and methodology: essential tools that can become dangerous belief systems.
Eur J Epidemiol. 2018 May;33(5):503-506. doi: 10.1007/s10654-018-0395-7.
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Is Religion Special?
Perspect Psychol Sci. 2023 Mar;18(2):340-357. doi: 10.1177/17456916221100485. Epub 2022 Aug 22.
3
Evaluating Belief System Networks as a Theory of Political Belief System Dynamics.
Pers Soc Psychol Rev. 2021 May;25(2):159-185. doi: 10.1177/1088868321993751. Epub 2021 Mar 3.
4
Causal inference in suicide research: When you should (and should not!) control for extraneous variables.
Suicide Life Threat Behav. 2021 Feb;51(1):148-161. doi: 10.1111/sltb.12681.
5
Causal Diagrams: Pitfalls and Tips.
J Epidemiol. 2020 Apr 5;30(4):153-162. doi: 10.2188/jea.JE20190192. Epub 2020 Feb 1.
7
The role of counterfactual theory in causal reasoning.
Ann Epidemiol. 2016 Oct;26(10):681-682. doi: 10.1016/j.annepidem.2016.08.017. Epub 2016 Aug 31.
8
Is there evidence that religion is a risk factor for eating disorders?
Eat Weight Disord. 2008 Dec;13(4):e75-8. doi: 10.1007/BF03327508.
9
Religious credence is not factual belief.
Cognition. 2014 Dec;133(3):698-715. doi: 10.1016/j.cognition.2014.08.015. Epub 2014 Sep 29.
10
A nontechnical explanation of the counterfactual definition of confounding.
J Clin Epidemiol. 2020 May;121:91-100. doi: 10.1016/j.jclinepi.2020.01.021. Epub 2020 Feb 14.

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A CHecklist for statistical Assessment of Medical Papers (the CHAMP statement): explanation and elaboration.
Br J Sports Med. 2021 Sep;55(18):1009-1017. doi: 10.1136/bjsports-2020-103652. Epub 2021 Jan 29.

本文引用的文献

1
Toward eradicating misconceptions on matching in etiological studies.
Eur J Epidemiol. 2018 May;33(5):501-502. doi: 10.1007/s10654-018-0376-x. Epub 2018 Mar 26.
2
Case-control matching: effects, misconceptions, and recommendations.
Eur J Epidemiol. 2018 Jan;33(1):5-14. doi: 10.1007/s10654-017-0325-0. Epub 2017 Nov 3.
3
Handling time varying confounding in observational research.
BMJ. 2017 Oct 16;359:j4587. doi: 10.1136/bmj.j4587.
4
Separation in Logistic Regression: Causes, Consequences, and Control.
Am J Epidemiol. 2018 Apr 1;187(4):864-870. doi: 10.1093/aje/kwx299.
5
For and Against Methodologies: Some Perspectives on Recent Causal and Statistical Inference Debates.
Eur J Epidemiol. 2017 Jan;32(1):3-20. doi: 10.1007/s10654-017-0230-6. Epub 2017 Feb 20.
6
Sparse data bias: a problem hiding in plain sight.
BMJ. 2016 Apr 27;352:i1981. doi: 10.1136/bmj.i1981.
7
Causality and causal inference in epidemiology: the need for a pluralistic approach.
Int J Epidemiol. 2016 Dec 1;45(6):1776-1786. doi: 10.1093/ije/dyv341.
8
Penalization, bias reduction, and default priors in logistic and related categorical and survival regressions.
Stat Med. 2015 Oct 15;34(23):3133-43. doi: 10.1002/sim.6537. Epub 2015 May 26.
9
Risk.
Am J Epidemiol. 2015 Feb 15;181(4):246-50. doi: 10.1093/aje/kwv001. Epub 2015 Feb 5.
10
Matched designs and causal diagrams.
Int J Epidemiol. 2013 Jun;42(3):860-9. doi: 10.1093/ije/dyt083.

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