Introductory Medical Statistics, 3rd edition
Autor Richard F. Moulden Limba Engleză Hardback – 1998
The third edition has been extensively revised and expanded to include:
The major change has been the advent of personal computing, so people rely on the power of their machine, and its software to number crunch. What is missing is that the software may not use the appropriate statistical error standard - Dick Mould
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Specificații
ISBN-13: 9780750305136
ISBN-10: 0750305134
Pagini: 422
Ilustrații: 65 b/w images
Dimensiuni: 152 x 229 x 22 mm
Greutate: 0.94 kg
Ediția:Revizuită
Editura: CRC Press
Colecția CRC Press
ISBN-10: 0750305134
Pagini: 422
Ilustrații: 65 b/w images
Dimensiuni: 152 x 229 x 22 mm
Greutate: 0.94 kg
Ediția:Revizuită
Editura: CRC Press
Colecția CRC Press
Public țintă
Professional Practice & DevelopmentCuprins
Data presentation. Describing cuves and distributions. The normal distribution curve. Introduction to sampling, errors and accuracy. Introduction to probability. Binomial probabilities. Poisson probabilities. Introduction to statistical significance. The chi-squared test. The Fisher exact probability test. The t-test. Difference between proportions for independent and for non-independent (McNemar's test for paired proportions) samples. Wilcoxon, Mann-Whitney and sign tests. Survival rate calculations. The logrank and Mantel-Haenszel tests. Regression and correlation. Analysis of variance. Multivariate analysis: the Cox proportional hazards model. Sensitivity and specificity. Clinical trials. Cancer treatment success, cure and quality of life. Risk specification with emphasis on ionising radiation. Types of epidemiological study: case-control, cohort and cross-sectional. Glossary of rates and ratios: terminology in vital statistics. References. Index.
Descriere
Introductory Medical Statistics, Third Edition is a lively, comprehensive text that provides a complete grounding in statistical techniques for medical personnel. This edition has been thoroughly revised to reflect the changes in the statistical know-how medical personnel are expected to have. It begins with data presentation, normal distribution,