Method comparison and estimation of causal effects of insomnia on health outcomes in a survey sampled population

Applying causal inference methods, such as weighting and matching methods, to a survey sampled population requires properly incorporating the survey weights and design to obtain effect estimates that are representative of the target population and correct standard errors (SEs). With a simulation stu...

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Bibliographic Details
Published in:Scientific reports 2023-06, Vol.13 (1), p.9831-9831, Article 9831
Main Authors: Shahu, Anja, Chung, Joon, Tarraf, Wassim, Ramos, Alberto R., González, Hector M., Redline, Susan, Cai, Jianwen, Sofer, Tamar
Format: Article
Language:English
Subjects:
639/705/531
692/308/174
692/499
Causality
Cognitive ability
Computer Simulation
Design
Hispanic Americans
Hispanic or Latino
Humanities and Social Sciences
Humans
Hypertension
Insomnia
multidisciplinary
Outcome Assessment, Health Care
Polls & surveys
Science
Science (multidisciplinary)
Sleep disorders
Sleep Initiation and Maintenance Disorders - epidemiology
Surveys
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Summary:Applying causal inference methods, such as weighting and matching methods, to a survey sampled population requires properly incorporating the survey weights and design to obtain effect estimates that are representative of the target population and correct standard errors (SEs). With a simulation study, we compared various approaches for incorporating the survey weights and design into weighting and matching-based causal inference methods. When the models were correctly specified, most approaches performed well. However, when a variable was treated as an unmeasured confounder and the survey weights were constructed to depend on this variable, only the matching methods that used the survey weights in causal estimation and as a covariate in matching continued to perform well. If unmeasured confounders are potentially associated with the survey sample design, we recommend that investigators include the survey weights as a covariate in matching, in addition to incorporating them in causal effect estimation. Finally, we applied the various approaches to the Hispanic Community Health Study/Study of Latinos (HCHS/SOL) and found that insomnia has a causal association with both mild cognitive impairment (MCI) and incident hypertension 6–7 years later in the US Hispanic/Latino population.
ISSN:2045-2322
2045-2322
DOI:10.1038/s41598-023-36927-2