Toward Open and Reproducible Epidemiology

Mathur, Maya B.; Fox, Matthew P.

doi:10.1093/aje/kwad007

Cited by 12 publications

(3 citation statements)

References 85 publications

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“…Fourth, we applied Bayesian statistical model which incorporated our prior background knowledge into the analysis; in this way, the current analysis provides a solid basis for future analyses. Finally, we adopted open and reproducible research practices [ 107 ]—we developed a priori statistical analysis protocol, documented in detail the research process, and made R scripts publicly available.…”

Section: Discussionmentioning

confidence: 99%

Exogenous female sex steroid hormones and new-onset asthma in women: a matched case–control study

Zhang,

Basna,

Mathur

et al. 2023

BMC Med

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Background Evidence on the role of exogenous female sex steroid hormones in asthma development in women remains conflicting. We sought to quantify the potential causal role of hormonal contraceptives and menopausal hormone therapy (MHT) in the development of asthma in women. Methods We conducted a matched case–control study based on the West Sweden Asthma Study, nested in a representative cohort of 15,003 women aged 16–75 years, with 8-year follow-up (2008–2016). Data were analyzed using Frequentist and Bayesian conditional logistic regression models. Results We included 114 cases and 717 controls. In Frequentist analysis, the odds ratio (OR) for new-onset asthma with ever use of hormonal contraceptives was 2.13 (95% confidence interval [CI] 1.03–4.38). Subgroup analyses showed that the OR increased consistently with older baseline age. The OR for new-onset asthma with ever MHT use among menopausal women was 1.17 (95% CI 0.49–2.82). In Bayesian analysis, the ORs for ever use of hormonal contraceptives and MHT were, respectively, 1.11 (95% posterior interval [PI] 0.79–1.55) and 1.18 (95% PI 0.92–1.52). The respective probability of each OR being larger than 1 was 72.3% and 90.6%. Conclusions Although use of hormonal contraceptives was associated with an increased risk of asthma, this may be explained by selection of women by baseline asthma status, given the upward trend in the effect estimate with older age. This indicates that use of hormonal contraceptives may in fact decrease asthma risk in women. Use of MHT may increase asthma risk in menopausal women.

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Section: Discussionmentioning

confidence: 99%

Exogenous female sex steroid hormones and new-onset asthma in women: a matched case–control study

Zhang,

Basna,

Mathur

et al. 2023

BMC Med

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“…treatment of adiposity, diabetes, cardiovascular disease, dementia, and other diseases, which as pressing issues that need effective strategies. Also in other situations, openly sharing data derived from studies in Epidemiology can have significant benefits [40][41][42].…”

Section: Introductionmentioning

confidence: 99%

“…Moreover, many cohort datasets in Epidemiology have been made accessible for reuse by others [e.g., 43 , 44 ], leading to better research. Yet, despite some exceptions, open-science practices have been embraced at a slower pace in research in Epidemiology compared to the Social Sciences [ 41 ]. To understand how open research data sharing and reuse can be further improved in the field of Epidemiology, this study explores the facilitating role that infrastructural and institutional arrangements play in this research discipline.…”

Section: Introductionmentioning

confidence: 99%

Identifying the most important facilitators of open research data sharing and reuse in Epidemiology: A mixed-methods study

Zuiderwijk,

Türk,

Brazier

2024

PLoS ONE

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To understand how open research data sharing and reuse can be further improved in the field of Epidemiology, this study explores the facilitating role that infrastructural and institutional arrangements play in this research discipline. It addresses two research questions: 1) What influence do infrastructural and institutional arrangements have on open research data sharing and reuse practices in the field of Epidemiology? And 2) how could infrastructural and institutional instruments used in Epidemiology potentially be useful to other research disciplines? First, based on a systematic literature review, a conceptual framework of infrastructural and institutional instruments for open research data facilitation is developed. Second, the conceptual framework is applied in interviews with Epidemiology researchers. The interviews show that two infrastructural and institutional instruments have a very high influence on open research data sharing and reuse practices in the field of Epidemiology, namely (a) access to a powerful search engine that meets open data search needs and (b) support by data stewards and data managers. Third, infrastructural and institutional instruments with a medium, high, or very high influence were discussed in a research workshop involving data stewards and research data officers from different research fields. This workshop suggests that none of the influential instruments identified in the interviews are specific to Epidemiology. Some of our findings thus seem to apply to multiple other disciplines. This study contributes to Science by identifying field-specific facilitators and challenges for open research data in Epidemiology, while at the same time revealing that none of the identified influential infrastructural and institutional instruments were specific to this field. Practically, this implies that open data infrastructure developers, policymakers, and research funding organizations may apply certain infrastructural and institutional arrangements to multiple research disciplines to facilitate and enhance open research data sharing and reuse.

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Compilation of open access time-series datasets for studying temperature-mortality association

Tobias,

Ng,

Kim

et al. 2024

Data in Brief

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Toward Open and Reproducible Epidemiology

Cited by 12 publications

References 85 publications

Exogenous female sex steroid hormones and new-onset asthma in women: a matched case–control study

Exogenous female sex steroid hormones and new-onset asthma in women: a matched case–control study

Identifying the most important facilitators of open research data sharing and reuse in Epidemiology: A mixed-methods study

Compilation of open access time-series datasets for studying temperature-mortality association

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