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

• Autore: Chen Ding-Geng
• Pubblicazione: Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024
• Edizione: 1st ed. 2024.
• Descrizione fisica: 1 online resource (311 pages)
• Disciplina: 519.5
• Soggetto topico: Statistics; Biometry; Biostatistics; Statistical Theory and Methods
• Altri autori: CoelhoCarlos A
• Nota di contenuto: -- 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.
• Sommario/riassunto: 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.
• Titolo autorizzato: Biostatistics Modeling and Public Health Applications
• ISBN: 9783031696909; 3031696905
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 9910917795003321
• Lo trovi qui: Univ. Federico II
• Serie: Emerging Topics in Statistics and Biostatistics, . 2524-7743