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Editorial Reviews
Review
"…a concise, organized, and well-written text that provides the derivations of statistical formulas underlying much epidemiological research and practice." (Journal of the American Statistical Association, December 2005)
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"…a concise, organized, and well-written text that provides the derivations of statistical formulas underlying much epidemiological research and practice." (Journal of the American Statistical Association, December 2005)
"...presents a considerable amount of recent research, much of which is the author's own..." (Royal Statistical Society, Vol.168, No.1, January 2005)
"...systematically organised...an excellent reference..." (Short Book Review, Vol.24, No.3 December 2004)
"...this book is strongly recommended..." (Statistical Methods in Medical Research, Vol 14 2005)
Product Description
Statistical Estimation of Epidemiological Risk provides coverage of the most important epidemiological indices, and includes recent developments in the field. A useful reference source for biostatisticians and epidemiologists working in disease prevention, as the chapters are self-contained and feature numerous real examples. It has been written at a level suitable for public health professionals with a limited knowledge of statistics.
Other key features include:
- Provides comprehensive coverage of the key epidemiological indices.
- Includes coverage of various sampling methods, and pointers to where each should be used.
- Includes up-to-date references and recent developments in the field.
- Features many real examples, emphasising the practical nature of the book.
- Each chapter is self-contained, allowing the book to be used as a useful reference source.
- Includes exercises, enabling use as a course text.
See all Editorial Reviews
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Inside This Book
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First Sentence:
To quantify the impact of a given disease on public health in a community. Read the first page Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
binomial sampling procedures, using interval estimators, independent cluster sampling, traditional intraclass, asymptotic interval estimators, hoc adjustment procedure, interval estimate for the intraclass, cluster randomization trials, sth stratum, independent binomial sampling, underlying disease rate, estimated asymptotic variance, patient receiving surgery, inflammation grade, dichotomous exposure, independent negative binomial, asymptotic likelihood ratio test, using the delta method, sampled subjects, percent confidence region, conditional confidence interval, percent confidence interval, following quadratic equation, joint probability mass function, trinomial distribution Key Phrases - Capitalized Phrases (CAPs): (learn more)
New York, Monte Carlo, Preventive Medicine, Cancer Research, Cases Controls, Categorical Data Analysis, Continuous Univariate Distributions, Oxford University Press, Duxbury Press, Journal of Chronic Diseases, Journal of the American Medical Association, Journal of the American Statistical Association New!
Books on Related Topics | Concordance | Text Stats Browse Sample Pages:
Front Cover | Table of Contents | First Pages | Index | Back Cover | Surprise Me!
To quantify the impact of a given disease on public health in a community. Read the first page Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
binomial sampling procedures, using interval estimators, independent cluster sampling, traditional intraclass, asymptotic interval estimators, hoc adjustment procedure, interval estimate for the intraclass, cluster randomization trials, sth stratum, independent binomial sampling, underlying disease rate, estimated asymptotic variance, patient receiving surgery, inflammation grade, dichotomous exposure, independent negative binomial, asymptotic likelihood ratio test, using the delta method, sampled subjects, percent confidence region, conditional confidence interval, percent confidence interval, following quadratic equation, joint probability mass function, trinomial distribution Key Phrases - Capitalized Phrases (CAPs): (learn more)
New York, Monte Carlo, Preventive Medicine, Cancer Research, Cases Controls, Categorical Data Analysis, Continuous Univariate Distributions, Oxford University Press, Duxbury Press, Journal of Chronic Diseases, Journal of the American Medical Association, Journal of the American Statistical Association New!
Books on Related Topics | Concordance | Text Stats Browse Sample Pages:
Front Cover | Table of Contents | First Pages | Index | Back Cover | Surprise Me!
Citations (learn more)
This book cites 30
books:
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6
books
cite this book:
See all 6 books citing this book
- Continuous Univariate Distributions, Vol. 1 (Wiley Series in Probability and Statistics) by Norman L. Johnson on 7 pages
- Statistical Inference by George Casella on 6 pages
- Categorical Data Analysis (Wiley Series in Probability and Statistics) by Alan Agresti on 5 pages
- Statistical Methods for Rates and Proportions, 2nd Edition by Joseph L. Fleiss on 4 pages
- Theory and Application of the Linear Model (Duxbury Classic) by Franklin A. Graybill on page 117, and Back Matter
See all 30 books this book cites
- Exact Analysis of Discrete Data by Karim F. Hirji in Back Matter
- Statistical Analysis of Cost-Effectiveness Data (Statistics in Practice) by Andrew R. Willan in Back Matter
- Competing Risks: A Practical Perspective (Statistics in Practice) by Melania Pintilie in Back Matter
- Statistical Methods for Dose-Finding Experiments (Statistics in Practice) by Sylvie Chevret in Back Matter
- Bioequivalence Studies in Drug Development: Methods and Applications (Statistics in Practice) by Dieter Hauschke in Back Matter
See all 6 books citing this book
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