Zeyu Yang, Hua Liang, Huiling Liu, Shannon Barth, Morgan Byrne, Elisabeth Andersen, Vinay Bhandaru, Amanda Castel
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Model Checking for Logistic Models with Study of Telehealth During the COVID-19 Pandemic Among PWH in DC.
We propose a projection-based test to check logistic regression models and apply the test to study telehealth utilization during the COVID-19 pandemic among patients with HIV. The test is shown to be consistent and can detect root- local alternatives. The use of the proposed test to investigate a COVID-19 dataset reveals that the probability of telehealth utilization depends on the following variables: overweight, education, and age and the interaction between age and ethnicity. Specifically, the probability for the Hispanic group decreases with older age, whereas there is no trend between the probability with the age for the group of non-Hispanic. This interaction may be ignored when we apply other goodness-of-fit methods. The simulation studies also show the performance of the proposed method is remarkably attractive compared to its competitors.
期刊介绍：
Statistics in Biosciences (SIBS) is published three times a year in print and electronic form. It aims at development and application of statistical methods and their interface with other quantitative methods, such as computational and mathematical methods, in biological and life science, health science, and biopharmaceutical and biotechnological science.
SIBS publishes scientific papers and review articles in four sections, with the first two sections as the primary sections. Original Articles publish novel statistical and quantitative methods in biosciences. The Bioscience Case Studies and Practice Articles publish papers that advance statistical practice in biosciences, such as case studies, innovative applications of existing methods that further understanding of subject-matter science, evaluation of existing methods and data sources. Review Articles publish papers that review an area of statistical and quantitative methodology, software, and data sources in biosciences. Commentaries provide perspectives of research topics or policy issues that are of current quantitative interest in biosciences, reactions to an article published in the journal, and scholarly essays. Substantive science is essential in motivating and demonstrating the methodological development and use for an article to be acceptable. Articles published in SIBS share the goal of promoting evidence-based real world practice and policy making through effective and timely interaction and communication of statisticians and quantitative researchers with subject-matter scientists in biosciences.
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