Übersicht			Auf mobile öffnen

Lieferstatus:	Auf Bestellung (Lieferzeit unbekannt)
Veröffentlichung:	August 2016
Genre:	Schulbücher
	B / Biostatistics / Epidemiology & medical statistics / Life sciences# general issues / Mathematics and Statistics / Probability & statistics / Statistical Theory and Methods / Statistics / Statistics for Life Sciences, Medicine, Health Sciences mehr...
ISBN:	9783319373614
EAN-Code:	9783319373614
Verlag:	Springer EN
Einband:	Kartoniert
Sprache:	English
Serie:	#09 - ICSA Book Series in Statistics
Dimensionen:	H 235 mm / B 155 mm / D
Gewicht:	4394 gr
Seiten:	264
Illustration:	XXIII, 264 p. 26 illus., schwarz-weiss Illustrationen
Zus. Info:	EUDR exemption - product or manufacturing materials placed on the market prior to 31.12.2025.
Bewertung:	Titel bewerten / Meinung schreiben

Inhalt:

Statistical tools to analyze correlated binary data are spread out in the existing literature. This book makes these tools accessible to practitioners in a single volume. Chapters cover recently developed statistical tools and statistical packages that are tailored to analyzing correlated binary data. The authors showcase both traditional and new methods for application to health-related research. Data and computer programs will be publicly available in order for readers to replicate model development, but learning a new statistical language is not necessary with this book. The inclusion of code for R, SAS, and SPSS allows for easy implementation by readers. For readers interested in learning more about the languages, though, there are short tutorials in the appendix. Accompanying data sets are available for download through the book s website. Data analysis presented in each chapter will provide step-by-step instructions so these new methods can be readily applied to projects.  Researchers and graduate students in Statistics, Epidemiology, and Public Health will find this book particularly useful.