Richard F. Mould

Introductory Medical Statistics, 3rd edition

• Broschiertes Buch

Produktbeschreibung

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

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Produktdetails

• Verlag: CRC Press
• 3. Auflage
• Seitenzahl: 422
• Erscheinungstermin: 2. Dezember 2019
• Englisch
• Abmessung: 229mm x 152mm x 23mm
• Gewicht: 608g
• ISBN-13: 9780367455804
• ISBN-10: 0367455803
• Artikelnr.: 58439902

Autorenporträt

Mould, Richard F.

Inhaltsangabe

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.