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1. |
Record Nr. |
UNINA9910917795003321 |
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Autore |
Chen Ding-Geng |
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Titolo |
Biostatistics Modeling and Public Health Applications : Study Design and Analysis Methodology in Health Sciences, Volume 1 / / edited by Ding-Geng Chen, Carlos A. Coelho |
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Pubbl/distr/stampa |
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Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024 |
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ISBN |
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Edizione |
[1st ed. 2024.] |
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Descrizione fisica |
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1 online resource (311 pages) |
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Collana |
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Emerging Topics in Statistics and Biostatistics, , 2524-7743 |
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Altri autori (Persone) |
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Disciplina |
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Soggetti |
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Statistics |
Biometry |
Biostatistics |
Statistical Theory and Methods |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di contenuto |
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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; |
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2000-2016. -- Issues in Multivariate Spatial Analysis of Multiple Diseases Using Complex Health Survey Data. |
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Sommario/riassunto |
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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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