Introductory Medical Statistics, 3rd edition
Book Details
Format
Paperback / Softback
ISBN-10
0367455803
ISBN-13
9780367455804
Publisher
Taylor & Francis Ltd
Imprint
CRC Press
Country of Manufacture
GB
Country of Publication
GB
Publication Date
Dec 2nd, 2019
Print length
422 Pages
Weight
453 grams
Product Classification:
Reference worksEpidemiology & medical statistics
Ksh 11,900.00
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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,
Introductory Medical Statistics, now in its third edition, is an introductory textbook on basic statistical techniques. It is written for physicians, surgeons, radiation oncologists, medical physicists, radiographers, hospital administrators, medical statisticians in training, biochemists, and other professionals allied to medicine. It is suitable as a teaching text for clinicians working towards their professional examinations. It is also suitable for Maters degree courses in medical physics.
The third edition has been extensively revised and expanded to include:
Clinical trial design and analysis]
Multivariate analysis
Cox proportional hazards model
McNemar, Wicoxon, Mann-Whitney, Kruskal-Wallis, Mantel-Haenszel, and Kappa tests
Kaplan-Meier survival rates
Sensitivity and Specificity
Specification of treatment success, cure, and quality of life
Risk specification
Case-control and cohort epidemiological studies
Glossary of terms
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
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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