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Biostatistics modeling and public he...

Chen, Ding-Geng.

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Biostatistics modeling and public health applications = study design and analysis methodology in health sciences.. Volume 1 /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Biostatistics modeling and public health applications/ edited by Ding-Geng Chen, Carlos A. Coelho.
其他題名:	study design and analysis methodology in health sciences.
其他作者:	Chen, Ding-Geng.
出版者:	Cham :Springer Nature Switzerland : : 2024.,
面頁冊數:	xx, 301 p. :ill. (chiefly color), digital ;24 cm.
內容註:	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.
Contained By:	Springer Nature eBook
標題:	Public health - Research -
電子資源:	https://doi.org/10.1007/978-3-031-69690-9
ISBN:	9783031696909

Biostatistics modeling and public health applications = study design and analysis methodology in health sciences.. Volume 1 /
Biostatistics modeling and public health applicationsstudy design and analysis methodology in health sciences.Volume 1 /[electronic resource] :edited by Ding-Geng Chen, Carlos A. Coelho. - Cham :Springer Nature Switzerland :2024. - xx, 301 p. :ill. (chiefly color), digital ;24 cm. - Emerging topics in statistics and biostatistics,2524-7743. - Emerging topics in statistics and biostatistics..

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.

ISBN: 9783031696909

Standard No.: 10.1007/978-3-031-69690-9doiSubjects--Topical Terms:

3754888
Public health
--Research

LC Class. No.: RA440.85

Dewey Class. No.: 362.1072

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