Categoria del Libro

Survival Analysis Using SAS: A Practical Guide

Easy to read and comprehensive, Survival Analysis Using SAS: A Practical Guide, Second Edition, by Paul D. Allison, is an accessible, data-based introduction to methods of survival analysis. Researchers who want to analyze survival data with SAS will find just what they need with this fully updated new edition that [...]

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Survival Analysis: Techniques for Censored and Truncated Data
John P. Klein, Melvin L. Moeschberger

Applied statisticians in many fields must frequently analyze time to event data. While the statistical tools presented in this book are applicable to data from medicine, biology, public health, epidemiology, engineering, economics, and demography, the focus here is on applications of the techniques to biology and medicine. The analysis of [...]

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Applied Survival Analysis: Regression Modeling of Time-to-Event Data
David W. Hosmer, Stanley Lemeshow, Susanne May

THE MOST PRACTICAL, UP-TO-DATE GUIDE TO MODELLING AND ANALYZING TIME-TO-EVENT DATA-NOW IN A VALUABLE NEW EDITION Since publication of the first edition nearly a decade ago, analyses using time-to-event methods have increase considerably in all areas of scientific inquiry mainly as a result of model-building methods available in modern statistical [...]

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Health Statistics: Shaping policy and practice to improve the population’s health
Daniel J. Friedman (a cura di), Edward L. Hunter (a cura di), R. Gibson Parrish II (a cura di)

Health statistics have been an essential tool for improving the health of populations for centuries, yet no single book covers the key elements in developing, using, and improving them. This volume fills that crucial gap by providing a comprehensive account of the essential concepts and complex underpinnings of health statistics. [...]

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Clinical Prediction Models: A Practical Approach to Development, Validation, and Updating
Ewout W. Steyerberg

Prediction models are important in various fields, including medicine, physics, meteorology, and finance. Prediction models will become more relevant in the medical field with the increase in knowledge on potential predictors of outcome, e.g. from genetics. Also, the number of applications will increase, e.g. with targeted early detection of disease, [...]

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Health Statistics and Indicators Set


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