TY  - BOOK
AU  - Chen,Ding-Geng
AU  - Coelho,Carlos A.
ED  - SpringerLink (Online service)
TI  - Biostatistics Modeling and Public Health Applications: Study Design and Analysis Methodology in Health Sciences, Volume 1 
T2  - Emerging Topics in Statistics and Biostatistics,
SN  - 9783031696909
AV  - QA276-280 
PY  - 2024///
CY  - Cham
PB  - Springer Nature Switzerland, Imprint: Springer
KW  - Statistics 
KW  - Biometry
KW  - Statistics
KW  - Biostatistics
KW  - Statistical Theory and Methods
N1  -  -- 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
N2  - 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
UR  - https://doi.org/10.1007/978-3-031-69690-9
ER  -