Posted by **ksveta6** at Nov. 5, 2014

2012 | ISBN: 0470463635 | English | 742 pages | DJVU | 8 MB

Posted by **nebulae** at Sept. 29, 2015

English | ISBN: 0495118737 | 2007 | 888 pages | PDF | 7 MB

Posted by **tukotikko** at Sept. 5, 2015

2002 | 734 Pages | ISBN: 0471360937 | PDF | 4 MB

Posted by **arundhati** at Sept. 18, 2013

2007 | ISBN: 0471226181 | 400 pages | PDF | 4,2 MB

Posted by **Sonora** at Nov. 24, 2006

John Wiley & Sons | ISBN: 0471369977 | 2003 | 534 pages | PDF | 3.7 MB

The study of survival data attempts to predict the probability of response, survival, or mean lifetime; compare; the survival distributions of experimental animals or of human patients; and identify risk and/or prognosis factors. Statistical Methods for Survival Data Analysis, Third Edition examines the statistical methods for analyzing survival data from laboratory studies of animals, clinical and epidemiological studies of humans, and other appropriate applications.

Emphasizing applications over rigorous mathematics, this extremely useful reference provides thorough discussions of the most commonly used parametric and nonparametric methods in survival analysis, as well as guidelines for the planning and design of clinical trials. The authors give special consideration to the study of survival data in biomedical sciences, though the methods are suitable for applications in industrial reliability, the social sciences, and business.

Posted by **libr** at May 26, 2017

English | 2007 | ISBN: 0471226181 | 400 pages | PDF | 2,3 MB

Posted by **interes** at July 1, 2014

English | 2007 | ISBN: 0471226181 | 400 pages | PDF | 2,3 MB

Posted by **avaxmore** at July 12, 2007

Wiley-Interscience (2007-03-23) | ISBN: 0471226181| 372Pages | 6.6 MB | PDF

The use of statistical methods for categorical data is ever increasing in today's world. An Introduction to Categorical Data Analysis, Second Edition provides an applied introduction to the most important methods for analyzing categorical data. This new edition summarizes methods that have long played a prominent role in data analysis, such as chi-squared tests, and also places special emphasis on logistic regression and other modeling techniques for univariate and correlated multivariate categorical responses.

Posted by **Jeembo** at Oct. 17, 2017

English | 2009 | ISBN: 0964793865 | 368 Pages | PDF | 241.8 MB

David Skinner shares the wealth of his experience and expertise about decision making in a clear, practical way.

Posted by **First1** at Aug. 31, 2017

English | October 16th, 2014 | ASIN: B00OL084UI, ISBN: 1491907339 | 226 pages | EPUB/MOBI | 17.23 MB

If you know how to program, you have the skills to turn data into knowledge, using tools of probability and statistics. This concise introduction shows you how to perform statistical analysis computationally, rather than mathematically, with programs written in Python.