Produktbild: Innovative Statistical Methods for Public Health Data

Innovative Statistical Methods for Public Health Data

108,99 €

inkl. gesetzl. MwSt., Versandkostenfrei


Beschreibung

Produktdetails

Einband

Gebundene Ausgabe

Erscheinungsdatum

12.09.2015

Abbildungen

XIV, 45 illus., 22 illus. in color., farbige Illustrationen, schwarz-weiss Illustrationen

Herausgeber

Ding-Geng (Din) Chen + weitere

Verlag

Springer

Seitenzahl

351

Maße (L/B/H)

24,1/16/2,5 cm

Gewicht

727 g

Auflage

1st ed. 2015

Sprache

Englisch

ISBN

978-3-319-18535-4

Beschreibung

Rezension

“The book is a compilation of new developments in
statistical methods and applications relevant in public health research. … The
primary audience is statisticians and researchers in biomedical and public
health research. … Each chapter ends with a set of references for further
reading. … This is an excellent book, with chapters addressing innovative
statistical methods for specific statistical situations, targeted at
researchers in the biomedical or public health fields.” (Kamesh Sivagnanam, Doody’s
Book Reviews, January, 2016)

Portrait

Ding-Geng (Din) Chen (PhD in Statistics from University of Guelph) is a professor in biostatistics at the University of Rochester. Previously, he was the Karl E. Peace endowed eminent scholar chair in biostatistics from the Jiann-Ping Hsu College of Public Health at the Georgia Southern University. He is also a senior biostatistics consultant for biopharmaceuticals and government agencies with extensive expertise in clinical trials and bioinformatics. He has more than 100-refereed professional publications and co-authored five books in biostatistics. Professor Chen was Section Chair (2011-2014) of Applied Public Health Statistics, American Public Health Association. Professor Jeffrey Wilson was Section Chair (2010-2013) of Applied Public Health Statistics, American Public Health Association. He was also a former Director of Biostatistics Core in the NIH Center Alzheimer. He is also the former Director of the School of Health Management and Policy. He is an Associate Editor for The JMIGand Chair of the Editorial Board of AJPH. His research experience includes grants from the NSF, USDA and NIH. He has published several articles in leading journals in Statistics and Healthcare. He teaches statistics at the graduate level in topics including GLM and GLIMMIX.

Produktdetails

Einband

Gebundene Ausgabe

Erscheinungsdatum

12.09.2015

Abbildungen

XIV, 45 illus., 22 illus. in color., farbige Illustrationen, schwarz-weiss Illustrationen

Herausgeber

Verlag

Springer

Seitenzahl

351

Maße (L/B/H)

24,1/16/2,5 cm

Gewicht

727 g

Auflage

1st ed. 2015

Sprache

Englisch

ISBN

978-3-319-18535-4

Herstelleradresse

Springer-Verlag KG
Sachsenplatz 4-6
1201 Wien
AT

Email: ProductSafety@springernature.com

Kundinnen und Kunden meinen

0 Bewertungen

Informationen zu Bewertungen

Zur Abgabe einer Bewertung ist eine Anmeldung im Konto notwendig. Die Authentizität der Bewertungen wird von uns nicht überprüft. Wir behalten uns vor, Bewertungstexte, die unseren Richtlinien widersprechen, entsprechend zu kürzen oder zu löschen.

Die Bewertungen sind nach Format, Anzahl Sterne und Datum sortiert.

Verfassen Sie die erste Bewertung zu diesem Artikel

Helfen Sie anderen Kund*innen durch Ihre Meinung

Kundinnen und Kunden meinen

0 Bewertungen filtern

  • Produktbild: Innovative Statistical Methods for Public Health Data
  • 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.