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Applied Missing Data Analysis in the Health Sciences
Xiao-Hua Zhou
€ 153.31
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Description for Applied Missing Data Analysis in the Health Sciences
Hardcover. This book provides a modern, hands-on guide to the essential concepts and ideas for analyzing data with missing observations in the field of biostatistics. It acknowledges the limitations of established techniques and provides concrete applications of newly developed methods. Series: Statistics in Practice. Num Pages: 256 pages, illustrations. BIC Classification: MBGR; PBT. Category: (P) Professional & Vocational. Dimension: 241 x 161 x 20. Weight in Grams: 516.
Applied Missing Data Analysis in the Health Sciences
Read moreA modern and practical guide to the essential concepts and ideas for analyzing data with missing observations in the field of biostatistics
With an emphasis on hands-on applications, Applied Missing Data Analysis in the Health Sciences outlines the various statistical methods for the analysis of missing...
Product Details
Format
Hardback
Publication date
2014
Publisher
John Wiley & Sons Inc United States
Number of pages
256
Condition
New
Series
Statistics in Practice
Number of Pages
256
Place of Publication
New York, United States
ISBN
9780470523810
SKU
V9780470523810
Shipping Time
Usually ships in 7 to 11 working days
Ref
99-1
About Xiao-Hua Zhou
XIAO-HUA ZHOU, PhD, is Professor in the Department of Biostatistics at the University of Washington and Director and Research Career Scientist at the Biostatistics Unit of the Veterans Affairs Puget Sound Health Care System. Dr. Zhou is Associate Editor of Statistics in Medicine and has published over 200 journal articles in his areas of research interest, which include statistical methods...
Read moreReviews for Applied Missing Data Analysis in the Health Sciences
“Overall the book is an excellent reference for biostatisticians who are interested in methodological approaches as well as for biostatisticians who prefer the applied side. Several useful examples from clinical trials and health research are carefully selected and analyzed to demonstrate the methods covered in the book. It is also a useful resource for postgraduate students researching missing-data methods and...
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