Biostatistics Modeling and Public Health Applications : Study Design and Analysis Methodology in Health Sciences, Volume 1 (Emerging Topics in Statistics and Biostatistics) (2024)

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Biostatistics Modeling and Public Health Applications : Study Design and Analysis Methodology in Health Sciences, Volume 1 (Emerging Topics in Statistics and Biostatistics) (2024)

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  • 製本 Hardcover:ハードカバー版/ページ数 301 p.
  • 言語 ENG
  • 商品コード 9783031696893

Full Description

This book provides an overview and compilation of contemporary topics and innovative approaches in biostatistical modeling through their applications to evidence-based public health research and decision-making. This book covers topics in 3 parts as: 1) Biostatistical Modeling, 2) Imaging Data Analysis, and 3) Public Health Applications.

Topics should appeal to both expert statisticians, as well as health researchers interested in biostatistical methodological applications in evidence-based health research. The book is a resourceful manual and can be used as an authoritative reference. The features covered in this book will appeal to researchers where public health research is being rigorously conducted.

Contents

.- Bootstrap calibrated tests for average bioequivalence and scaled average bioequivalence.

.- Hypothesis Testing within Bayesian Inference "Regression  Estimation for Length-Biased  Data:A Review and Comparative Study".

.- "Nonparametric Methods for Incomplete Multivariate Data: Applications to Quality of Life Outcomes".

.- Geostatistical Analysis of Under-Five Children Mortality and Associated Factors Across Sub-Saharan African Countries.

.- SEIRD Mathematical Modelling of Malaria Transmission Dynamics in Ethiopia.

.- Robust Principal Component Analysis for Retinal Image Enhancement.

.- "Estimating Average and Individual Treatment Effects in the Presence of Time-Dependent Covariates".

.- "Detection of Quadratic Interactions in Brain Functional Connectivity".

.- "Variable selection in the generalized semiparametric longitudinal model and HIV analysis".

.- Survey design effect in the prediction of events for categorical health outcomes through regression methods: Evidence from Malawi under-five mortality survey data; 2000-2016.

.- Survey design effect in the prediction of events for categorical health outcomes through regression methods:  Evidence from Malawi under-five mortality survey data; 2000-2016.

.- Issues in Multivariate Spatial Analysis of Multiple Diseases Using Complex Health Survey Data.

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