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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.