Introductory Medical Statistics, 3rd edition
Book Details
Format
Hardback or Cased Book
ISBN-10
0750305134
ISBN-13
9780750305136
Publisher
Taylor & Francis Ltd
Imprint
Institute of Physics Publishing
Country of Manufacture
GB
Country of Publication
GB
Publication Date
Jan 1st, 1998
Print length
422 Pages
Weight
940 grams
Product Classification:
Reference worksEpidemiology & medical statistics
AI Summary
Ksh 34,200.00
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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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