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Background And Objectives: Peripartum mood and anxiety disorders constitute the most frequent form of maternal morbidity in the general population, but little is known about peripartum mental illness in mothers with multiple sclerosis (MS). We compared the incidence and prevalence of peripartum mental illness among mothers with MS, epilepsy, inflammatory bowel disease (IBD), and diabetes and women without these conditions.

Methods: Using linked population-based administrative health data from ON, Canada, we conducted a cohort study of mothers with MS, epilepsy, IBD, and diabetes and without these diseases (comparators) who had a live birth with index dates, defined as 1 year before conception, between 2002 and 2017.

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Modeling of lifetime scenarios with non-monotonic failure rates.

PLoS One

January 2025

Mathematics and Computer Science Department, Faculty of Science, Beni-Suef University, Beni-Suef, Egypt.

The Weibull distribution is an important continuous distribution that is cardinal in reliability analysis and lifetime modeling. On the other hand, it has several limitations for practical applications, such as modeling lifetime scenarios with non-monotonic failure rates. However, accurate modeling of non-monotonic failure rates is essential for achieving more accurate predictions, better risk management, and informed decision-making in various domains where reliability and longevity are critical factors.

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Background: In spite of the interest generated by controlling variance unrelated to the content in personality measures, few studies have assessed the combined impact of acquiescence (ACQ) and correlated residuals in the factor-analytic structural solutions that serve as a basis for item calibration.

Method: This article compares three control procedures in databases that simultaneously exhibit acquiescence (ACQ) and correlated residuals: the SIREN method (; ACQ control), the MORGANA method (; ; correlated residuals control), and a combined double control method. A 'control' procedure was also examined in which the presence of both determinants was ignored.

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Background: Observational studies propose associations between dietary factors and multiple sclerosis (MS). However, the causal nature of these relationships remains unclear. This study aims to determine whether nutritional factors causally influence MS risk through Mendelian randomization (MR) analysis.

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Nodewise Parameter Aggregation for Psychometric Networks.

Multivariate Behav Res

January 2025

Department of Psychology, University of California, Davis, Davis, CA, USA.

Psychometric networks can be estimated using nodewise regression to estimate edge weights when the joint distribution is analytically difficult to derive or the estimation is too computationally intensive. The nodewise approach runs generalized linear models with each node as the outcome. Two regression coefficients are obtained for each link, which need to be aggregated to obtain the edge weight (i.

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