Methods for generalized change-point models: with applications to human immunodeficiency virus surveillance and diabetes data.

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  • Additional Information
    • Source:
      Publisher: Wiley Country of Publication: England NLM ID: 8215016 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1097-0258 (Electronic) Linking ISSN: 02776715 NLM ISO Abbreviation: Stat Med Subsets: MEDLINE
    • Publication Information:
      Original Publication: Chichester ; New York : Wiley, c1982-
    • Subject Terms:
      Diabetes Mellitus, Type 2*/epidemiology ; HIV Infections*/epidemiology; Body Mass Index ; HIV ; Humans ; Linear Models
    • Abstract:
      In many epidemiological and biomedical studies, the association between a response variable and some covariates of interest may change at one or several thresholds of the covariates. Change-point models are suitable for investigating the relationship between the response and covariates in such situations. We present change-point models, with at least one unknown change-point occurring with respect to some covariates of a generalized linear model for independent or correlated data. We develop methods for the estimation of the model parameters and investigate their finite-sample performances in simulations. We apply the proposed methods to examine the trends in the reported estimates of the annual percentage of new human immunodeficiency virus (HIV) diagnoses linked to HIV-related medical care within 3 months after diagnosis using HIV surveillance data from the HIV prevention trial network 065 study. We also apply our methods to a dataset from the Pima Indian diabetes study to examine the effects of age and body mass index on the risk of being diagnosed with type 2 diabetes.
      (© 2020 John Wiley & Sons, Ltd.)
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    • Grant Information:
      R01 MH105857 United States MH NIMH NIH HHS; R03 CA235122 United States CA NCI NIH HHS; R21 HL121347 United States HL NHLBI NIH HHS; UM1 AI068617 United States AI NIAID NIH HHS
    • Contributed Indexing:
      Keywords: HIV surveillance; change-point; correlated data; generalized linear model; type 2 diabetes
    • Publication Date:
      Date Created: 20200131 Date Completed: 20210621 Latest Revision: 20240729
    • Publication Date:
      20240729
    • Accession Number:
      PMC7260994
    • Accession Number:
      10.1002/sim.8469
    • Accession Number:
      31997385