Innovative Statistical Methods for Public Health Data

• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Άλλοι συγγραφείς: Chen, Ding-Geng (Din) (Επιμελητής έκδοσης), Wilson, Jeffrey (Επιμελητής έκδοσης)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2015.
• Έκδοση: 1st ed. 2015.
• Σειρά: ICSA Book Series in Statistics,
• Θέματα: Statistics.; Laboratory medicine.; Public health.; Statistics for Life Sciences, Medicine, Health Sciences.; Public Health.; Laboratory Medicine.

The book brings together experts working in public health and multi-disciplinary areas to present recent issues in statistical methodological development and their applications. This timely book will impact model development and data analyses of public health research across a wide spectrum of analy...

Πίνακας περιεχομένων:

• Part 1: Modelling Clustered Data
• Methods for Analyzing Secondary Outcomes in Public Health Case Control Studies
• Controlling for Population Density Using Clustering and Data Weighting Techniques When Examining Social Health and Welfare Problems
• On the Inference of Partially Correlated Data with Applications to Public Health Issues
• Modeling Time-Dependent Covariates in Longitudinal Data Analyses
• Solving Probabilistic Discrete Event Systems with Moore-Penrose Generalized Inverse Matrix Method to Extract Longitudinal Characteristics from Cross-Sectional Survey Data
• Part II: Modelling Incomplete or Missing Data
• On the Effects of Structural Zeros in Regression Models
• Modeling Based on Progressively Type-I Interval Censored Sample
• Techniques for Analyzing Incomplete Data in Public Health Research
• A Continuous Latent Factor Model for Non-ignorable Missing Data
• Part III: Healthcare Research Models
• Health Surveillance
• Standardization and Decomposition Analysis: A Useful Analytical Method for Outcome Difference, Inequality and Disparity Studies
• Cusp Catastrophe Modeling in Medical and Health Research
• On Ranked Set Sampling Variation and its Applications to Public Health Research
• Weighted Multiple Testing Correction for Correlated Endpoints in Survival Data
• Meta-analytic Methods for Public Health Research.