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Essential medical statistics / Betty R. Kirkwood, Jonathan A.C. Sterne.

Holman Biotech Commons R853.S7 K497 2003
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Levy Dental Medicine Library - Reserve R853.S7 K497 2003
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Format:
Book
Author/Creator:
Kirkwood, Betty R.
Contributor:
Sterne, Jonathan A. C.
Kirkwood, Betty R.
Language:
English
Subjects (All):
Medicine--Research--Statistical methods.
Medicine.
Medical statistics.
Statistics as Topic.
Biometry.
Medical Subjects:
Statistics as Topic.
Biometry.
Physical Description:
x, 501 pages : illustrations ; 25 cm
Edition:
Second edition.
Other Title:
Medical statistics
Place of Publication:
Malden, Mass. : Blackwell Science, 2003.
Summary:
Essential Medical Statistics is a classic amongst medical statisticians. An introductory textbook, it presents statistics with a clarity and logic that demystifies the subject, while providing a comprehensive coverage of advanced as well as basic methods.
The second edition of Essential Medical Statistics has been comprehensively revised and updated to include modern statistical methods and modern approaches to statistical analysis, while retaining the approachable and non-mathematical style of the first edition. The book now includes full coverage of the most commonly used regression models, multiple linear regression, logistic regression, Poisson regression and Cox regression, as well as a chapter on general issues in regression modelling. In addition, new chapters introduce more advanced topics such as meta-analysis, likelihood, bootstrapping and robust standard errors, and analysis of clustered data.
Aimed at students of medical statistics, medical researchers, public health practitioners and practising clinicians using statistics in their daily work, the book is designed as both a teaching and a reference text. The format of the book is clear with highlighted formulae and worked examples, so that all concepts are presented in a simple, practical and easy-to-understand way. The second edition enhances the emphasis on choice of appropriate methods with new chapters on strategies for analysis and measures of association and impact.
Contents:
Using this book
Defining the data
Displaying the data
Means, standard deviations and standard errors
The normal distribution
Confidence interval for a mean
Comparison of two means : confidence intervals, hypothesis tests and P-values
Using P-values and confidence intervals to interpret the results of statistical analyses
Comparison of means from several groups : analysis of variance
Linear regression and correlation
Multiple regression
Goodness of fit and regression diagnostics
Transformations
Probability, risk and odds (of disease)
Proportions and the binomial distribution
Comparing two proportions
Chi-squared tests for 2 x 2 and larger contingency tables
Controlling for confounding : stratification
Logistic regression : comparing two or more exposure groups
Logistic regression : controlling for confounding and other extensions
Matched studies
Longitudinal studies, rates and the Poisson distribution
Comparing rates
Poisson regression
Standardization
Survival analysis : displaying and comparing survival patterns
Regression analysis of survival data
Likelihood
Regression modelling
Relaxing model assumptions
Analysis of clustered data
Systematic reviews and meta-analysis
Bayesian statistics
Linking analysis to study design : summary of methods
Calculation of required sample size
Measurement error : assessment and implications
Measures of association and impact
Strategies for analysis
Appendix : statistical tables.
Notes:
Rev. ed. of: Essentials of medical statistics / Betty R. Kirkwood. 1988.
Includes bibliographical references (pages [487]-492) and index.
ISBN:
0865428719
OCLC:
50684158

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