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Effect of type 1 diabetes on school performance in a dynamic world: new analysis exploring Swedish register data
Umeå University, Faculty of Social Sciences, Umeå School of Business and Economics (USBE), Statistics.
2019 (English)In: Applied Economics, ISSN 0003-6846, E-ISSN 1466-4283, Vol. 51, no 24, p. 2606-2622Article in journal (Refereed) Published
Abstract [en]

This paper investigates if the effect of type 1 diabetes mellitus (T1DM) on school performance, documented in prior research, has changed in more recent birth cohorts of children using national Swedish population register data. The issue is of interest because management and treatment of the disease have improved over the last decades and, furthermore, because of changes in the educational grading system. Despite these changes, data indicate a persistent negative effect of T1DM on compulsory and upper secondary school grades with a standardized effect size of −0.109 and −0.070, respectively, and the results appear only marginally smaller compared to earlier findings in cohorts completing school under the previous grading system. Moreover, the results are consistent for alternative model specifications and econometric estimation strategies. Whereas access to new treatment technologies and improved diabetes management strategies has reduced the burden of diabetes in daily life, the results from this study indicate that continued efforts are needed to improve the situation in school for children with T1DM to prevent potential long-term socio-economic consequences.

Place, publisher, year, edition, pages
Taylor & Francis Group, 2019. Vol. 51, no 24, p. 2606-2622
Keywords [en]
Type 1 diabetes, education, school performance, register data
National Category
Social Sciences Interdisciplinary Economics
Identifiers
URN: urn:nbn:se:umu:diva-94969DOI: 10.1080/00036846.2018.1558347ISI: 000459830200003OAI: oai:DiVA.org:umu-94969DiVA, id: diva2:756924
Note

Originally included in thesis in manuscript form.

Available from: 2014-10-20 Created: 2014-10-20 Last updated: 2019-03-27Bibliographically approved
In thesis
1. Causal inference and case-control studies with applications related to childhood diabetes
Open this publication in new window or tab >>Causal inference and case-control studies with applications related to childhood diabetes
2014 (English)Doctoral thesis, comprehensive summary (Other academic)
Alternative title[sv]
Kausal inferens och fall-kontroll studier med applikationer inom barndiabetes
Abstract [en]

This thesis contributes to the research area of causal inference, where estimation of the effect of a treatment on an outcome of interest is the main objective. Some aspects of the estimation of average causal effects in observational studies in general, and case-control studies in particular, are explored.

An important part of estimating causal effects in an observational study is to control for covariates. The first paper of this thesis concerns the selection of minimal covariate sets sufficient for unconfoundedness of the treatment assignment. A data-driven implementation of two covariate selection algorithms is proposed and evaluated.

A common sampling scheme in epidemiology, and when investigating rare events, is the case-control design. In the second paper we study estimators of the marginal causal odds ratio in matched and independent case-control designs. Estimators that, under a logistic regression model, utilize information about the known prevalence of being a case is examined and compared through simulations.

The third paper investigates the particular situation where case-control sampled data is reused to estimate the effect of the case-defining event on an outcome of interest. The consequence of ignoring the design when estimating the average causal effect is discussed and a design-weighted matching estimator is proposed. The performance of the estimator is evaluated with simulation experiments, when matching on the covariates directly and when matching on the propensity score.

The last paper studies the effect of type 1 diabetes mellitus (T1DM) on school achievements using data from the Swedish Childhood Diabetes Register, a population-based incidence register. We apply theoretical results from the second and third papers in the estimation of the average causal effect within the T1DM population. A matching estimator that accounts for the matched case-control design is used.

Place, publisher, year, edition, pages
Umeå: Umeå universitet, 2014. p. 22
Series
Statistical studies, ISSN 1100-8989 ; 48
Keywords
covariate selection, design-weighted estimation, marginal effect, matching, register study, treatment effect, type 1 diabetes mellitus
National Category
Probability Theory and Statistics
Research subject
Statistics
Identifiers
urn:nbn:se:umu:diva-94993 (URN)978-91-7601-151-5 (ISBN)
Public defence
2014-11-21, Hörsal F, Humanisthuset, Umeå universitet, Umeå, 10:15 (English)
Opponent
Supervisors
Available from: 2014-10-24 Created: 2014-10-20 Last updated: 2018-06-07Bibliographically approved

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Publisher's full texthttps://doi.org/10.1080/00036846.2018.1558347

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Persson, Emma

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