Cited by 529Advanced Causal Inference TechniquesMeta-analysis and systematic reviewsPhilosophy of Biology and Scientific Explanation

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Causal Inference and Observational Research: The Utility of Twins

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McGue, Matt, Osler, Merete, Christensen, Kaare·2010·Perspectives on Psychological Science

DOI 10.1177/1745691610383511PMC PMC3094752

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Abstract

Valid causal inference is central to progress in theoretical and applied psychology. Although the randomized experiment is widely considered the gold standard for determining whether a given exposure increases the likelihood of some specified outcome, experiments are not always feasible and in some cases can result in biased estimates of causal effects. Alternatively, standard observational approaches are limited by the possibility of confounding, reverse causation, and the nonrandom distribution of exposure (i.e., selection). We describe the counterfactual model of causation and apply it to the challenges of causal inference in observational research, with a particular focus on aging. We argue that the study of twin pairs discordant on exposure, and in particular discordant monozygotic twins, provides a useful analog to the idealized counterfactual design. A review of discordant-twin studies in aging reveals that they are consistent with, but do not unambiguously establish, a causal effect of lifestyle factors on important late-life outcomes. Nonetheless, the existing studies are few in number and have clear limitations that have not always been considered in interpreting their results. It is concluded that twin researchers could make greater use of the discordant-twin design as one approach to strengthen causal inferences in observational research.

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“Mini-mental state”
Folstein, M. F., Folstein, S. E., & McHugh, P. R. (1975) · Journal of Psychiatric Research · doi:10.1016/0022-3956(75)90026-6 · Cited by 88,282
Structural equation modeling in practice: A review and recommended two-step approach
Anderson, J. C., & Gerbing, D. W. (1988) · Psychological Bulletin · doi:10.1037/0033-2909.103.3.411 · Cited by 41,941
[Japanese version of the Neuropsychiatric Inventory--a scoring system for neuropsychiatric disturbance in dementia patients].
Hirono, N., Mori, E., Ikejiri, Y., Imamura, T., Shimomura, T., Hashimoto, M., Yamashita, H., & Ikeda, M. (1997) · PubMed · Cited by 21,012
Special Care Units and Traditional Care in Dementia: Relationship with Behavior, Cognition, Functional Status and Quality of Life - A Review
Kok, J. S., Berg, I. J., & Scherder, E. J. A. (2013) · Dementia and Geriatric Cognitive Disorders Extra · doi:10.1159/000353441 · Cited by 20,589
Older Adults' Reasons for Using Technology while Aging in Place
Peek, S. T. M., Luijkx, K. G., Rijnaard, M. D., Nieboer, M. E., van der Voort, C. S., Aarts, S., van Hoof, J., Vrijhoef, H. J., & Wouters, E. (2015) · Gerontology · doi:10.1159/000430949 · Cited by 19,852
Sensitivity and False Alarm Rate of a Fall Sensor in Long-Term Fall Detection in the Elderly
Kangas, M., Korpelainen, R., Vikman, I., Nyberg, L., & Jämsä, T. J. (2014) · Gerontology · doi:10.1159/000362720 · Cited by 19,007
Untitled work
(2002) · Cited by 13,211
Causality: Models, Reasoning, and Inference
Pearl, J. (2009) · doi:10.1017/cbo9780511803161 · Cited by 11,653
SAS System for Mixed Models
Littell, R. C. (1996) · Medical Entomology and Zoology · Cited by 10,345
CAUSALITY: MODELS, REASONING AND INFERENCE
Hitchcock, C., & Pearl, J. (2001) · The Philosophical Review · doi:10.2307/3182612 · Cited by 4,827

Show all 94 references

Research works printed but not linked: 7

Ashenfelter O., 1994, American Economic Review, 84, 1157
Bentler P.M., 1985, Theory and implementation of EQS: A structural equations program
Bouchard T.J., 1993, Twins as a tool of behavioral genetics
Kaprio J., 1993, Twins as a tool of behavioral genetics, 287
Rehm J., 2007, Addiction Research & Theory, 15, 20
Rehm J., 2003, Alcohol Research & Health, 27, 39
Scarr S., 1983, Child Development, 54, 424

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Authors: McGue, M., Osler, M., & Christensen, K.
Affiliations: University of Minnesota (US)
University of Southern Denmark (DK)
Corresponding author: McGue, Matt
ORCID: McGue, Matt
Osler, Merete
Christensen, Kaare
Venue: Perspectives on Psychological Science
Publisher: SAGE Publications
Published: 2010-09
Volume: 5
Issue: 5
Pages: 546-556
ISSN: 1745-6916 (ISSN-L)
1745-6924
DOI: 10.1177/1745691610383511
PMC: PMC3094752
OpenAlex: W2024702358
Cited by: 529
References: 94
Citations by year: 2026: 34 · 2025: 40 · 2024: 40 · 2023: 45 · 2022: 40 · 2021: 47 · 2020: 36 · 2019: 37 · 2018: 23 · 2017: 32 · 2016: 42 · 2015: 25 · 2014: 28 · 2013: 23 · 2012: 25
FWCI: 2.67
Type: journal article
Language: en
Open access: green
www.ncbi.nlm.nih.gov
Licence: journals.sagepub.com/page/policies/text-and-data-mining-license (tdm)
Locations: Perspectives on Psychological Science (publishedVersion)
PubMed (publishedVersion)
University of Southern Denmark Research Portal (University of Southern Denmark) (publishedVersion)
PubMed Central (acceptedVersion)
Funders: National Institute on Alcohol Abuse and Alcoholism (R01AA009367, R37AA009367)
National Institute on Aging (P01AG008761)
Topics: Physical Sciences › Mathematics › Statistics and Probability › Advanced Causal Inference Techniques
Social Sciences › Decision Sciences › Statistics, Probability and Uncertainty › Meta-analysis and systematic reviews
Social Sciences › Arts and Humanities › History and Philosophy of Science › Philosophy of Biology and Scientific Explanation
Keywords: causal inference, observational studies, discordant twins, monozygotic twins, aging, confounding, reverse causality, selection bias, lifestyle factors, causal effects

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Causal Inference and Observational Research: The Utility of Twins

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