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Biostatistics Modeling and Public Health Applications [electronic resource] : Study Design and Analysis Methodology in Health Sciences, Volume 1 / edited by Ding-Geng Chen, Carlos A. Coelho.

Contributor(s): Material type: TextSeries: Emerging Topics in Statistics and BiostatisticsPublisher: Cham : Springer Nature Switzerland : Imprint: Springer, 2024Edition: 1st ed. 2024Description: XX, 301 p. 55 illus., 50 illus. in color. online resourceContent type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9783031696909
Subject(s):
Additional physical formats: Printed edition:: No title; Printed edition:: No title; Printed edition:: No titleLOC classification:
  • QA276-280
Online resources:
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.
In: Springer Nature eBookSummary: 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.
Item type: List(s) this item appears in: Titluri cărți electronice Springer Nature 2025 (10631 titluri)
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-- 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.

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.

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