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Statistical Modelling for Evidence-Based Public Health Case Studies in HIV/AIDS Epidemiology and Child and Maternal Health /

This book presents a selection of statistical techniques and methods applied to analyze data arising from HIV/AIDS epidemiology, as well as child and maternal health. Evidence-based decision-making in public health interventions requires appropriate techniques applied to solve relevant statistical a...

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Bibliografiske detaljer
Institution som forfatter: SpringerLink (Online service)
Andre forfattere: Kazembe, Lawrence N. (Editor), Kaombe, Tsirizani M. (Editor)
Format: Electronisk eBog
Sprog:engelsk
Udgivet: Cham : Springer Nature Switzerland : Imprint: Springer, 2025.
Udgivelse:1st ed. 2025.
Serier:Emerging Topics in Statistics and Biostatistics,
Fag:
Biometry.
Sampling (Statistics).
Data mining.
Biostatistics.
Survey Methodology.
Data Mining and Knowledge Discovery.
Online adgang:https://doi.org/10.1007/978-3-031-97281-2
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Indholdsfortegnelse:
  • Foreword
  • Chapter 1 Advancing evidence-based decision-making in public health: The critical role of practical biostatistical methods for health monitoring in sub-Saharan Africa
  • Part I Bivariate (or Joint) Modelling of Public Health Data
  • Chapter 2 A trivariate copula model with endogenous predictor variable to estimate determinants of zero-dose and under-immunized children in Angola and Ethiopia using survey data
  • Chapter 3 Determinants of female schooling and fertility in Malawi: An application of bivariate Poisson regression model
  • Chapter 4 A copula approach to sample selection modeling of treatment adherence and viral load among HIV patients on antiretroviral therapy
  • Chapter 5 Joint Modelling of Water, Sanitation, and Hygiene (WASH) Using a Generalized Joint Regression Model in Namibia
  • Part II Hierarchical and Multilevel Modelling of Health Data
  • Chapter 6 Hierarchical outlier linkages between cluster and subject levels in a multivariate logistic regression model for child mortality data from a complex survey in Malawi
  • Chapter 7 Application of mixed effects models to predict viral suppression and CD4 cell counts in a cohort of ART patients in Namibia
  • Chapter 8 Transition autoregressive mixed models applied to analysis of viral load and CD4 cell count data for ART patients in Nambia
  • Chapter 9 Modeling viral load using mixed effects regression models and generalized estimating equations
  • Part III Time-To- Event Modelling of HIV and AIDS, Child and Maternal Health Data
  • Chapter 10 Semiparametric and parametric mixed-effects survival regression methods applied to the analysis of women’s birth interval data in Malawi
  • Chapter 11 Competing risks of defaulting and transferring out in the ART cohort of HIV and TB co-infected individuals in Namibia
  • Part IV Model Fitting, Causal Inference, and Machine Learning Techniques for Public Health Data
  • Chapter 12 Properties of model errors in logistic regression and their application to detect outliers in child mortality study
  • Chapter 13 Methods Using Propensity Scores to Estimate Causal Effects in Observational Longitudinal Studies
  • Chapter 14 Robust, quantile, and mean regression diagnostics for a comprehensive analysis of outlier haemoglobin levels in women using cross-sectional survey data in Malawi
  • Chapter 15 A Machine Learning Approach to Identifying Shared Determinants of the Childhood Stunting in Kenya, Tanzania, Zambia and Malawi
  • Chapter 16 Modelling progression of HIV disease using homogenous semi-Markov processes with an application to a cohort in Namibia
  • Chapter 17 Modeling viral load with response missingness and covariate measurement error
  • Chapter 18 Application of multivariable binary logistic regression model, nomogram and classification tree to predict baseline acute respiratory distress in severe malaria African children
  • Part V Advanced Spatial and Bayesian Statistical Methods for Public Health Data Modelling
  • Chapter 19 Incorporating Heavy-Tailed Spatial Random Effects in the Analysis of Areal Disease Data
  • Chapter 20 Mapping HIV epidemic in Namibia using Bayesian spatial modelling
  • Chapter 21 Mixed-effects logistic regression grouped outlier residuals and GeoSpatial logistic model applied to analysis of outlier communities to late treatment-seeking behaviour for childhood malaria in Malawi
  • Chapter 22 Mapping gender-specific spatial disparities in HIV testing and condom use in Namibia
  • Index.

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