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by Christopher T. Sempos,Harold A. Kahn

Christopher_T._Sempos Harold_A._Kahn Medicine_and_Health_Sciences English

Download Statistical Methods in Epidemiology (Monographs in Epidemiology and Biostatistics) fb2

Medicine & Health Sciences

Author:

Christopher T. Sempos,Harold A. Kahn
ISBN:

0195057511
ISBN13:

978-0195057515
Genre:

Other
Publisher:

Oxford University Press (July 20, 1989)
Pages:

320 pages
Subcategory:

Medicine & Health Sciences
Language:

English
FB2 format

1293 kb
ePUB format

1679 kb
DJVU format

1552 kb
Rating:

4.7
Votes:

255
Formats:

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by Harold A. Kahn, Christopher T. Sempos. Christopher T. Sempos is an epidemiologist at the National Center for Health Statistics.

by Harold A. Rarely does one find a new book in epidemiology or statistics which genuinely fills a gap in the literature. What makes this volume such a marvelous discovery is that it summarizes many of the essentials of epidemiological statistics that were previously described only in journal articles or more mathematical texts.

Christopher T.

Statistical methods in epidemiology. by. Kahn, Harold A; Sempos, Christopher T; Kahn, Harold A. Introduction to epidemiologic methods. Rev. ed. of: An introduction to epidemiologic methods, Harold A. Kahn. Includes bibliographical references (p. 283-286).

JOURNAL NAME: Open Journal of Epidemiology, Vo. N., May 17, 2019. ABSTRACT: Aim: The aim of this study was to estimate the prevalence of psychiatric problems and to identify associated factors among hearing-impaired children and adolescents (aged 4 - 16 years) attending special education institutions in Karachi, Pakistan. Methods: A cross-sectional study, using stratified random sampling was conducted in two special education institutions in Karachi from September 2010 to July 2011 on 272 hearing-impaired children aged 4 - 16 years.

Harold A. It provides clear insight into the basic statistical tools used in epidemiology and is written so that those without advanced statistical training can comprehend the ideas underlying the analytical techniques.

Monographs in Epidemiology and Biostatistics Harold A. Kahn, Emeritus Professor of Epidemiology, John Hopkins University, and Christopher T. Sempos, Staff Member, National Center of Health Statistics.

Monographs in Epidemiology and Biostatistics. This book is based on Kahn's An Introduction to Epidemiological Methods (OUP, 1983). As the title change indicates, its discussion of the. Statistical Methods in Epidemiology. Harold A. Kahn and Christopher T. Monographs in Epidemiology and Biostatistics.

Statistical Methods in Epidemiology book Original Title. Statistical Methods in Epidemiology (Monographs in Epidemiology and Biostatistics, Vol 12). ISBN.

Statistical Methods in Epidemiology book. This book is an expanded version of the Kahn's widely. 0195050495 (ISBN13: 9780195050493). This book is an expanded version of the Kahn's widely used text, An Introduction to Epidemiologic Methods (Oxford, 1983).

The various methods of monitoring and forecasting this disease receive comprehensive treatment. These methods include back-calculation, which the authors developed; interpretation of survey data on HIV prevalence; mathematical models for HIV transmission; and approaches that combine different types of epidemiological data.

item 1 Statistical Methods in Epidemiology (Monographs in. . Kahn is Visiting Professor of Epidemiology, John Hopkins University. Country of Publication.

item 1 Statistical Methods in Epidemiology (Monographs in Epidemiology and Biostatistic -Statistical Methods in Epidemiology (Monographs in Epidemiology and Biostatistic. by Sempos, Christopher Paperback.

This book is an expanded version of the Kahn's widely used text, An Introduction to Epidemiologic Methods (Oxford, 1983). It provides clear insight into the basic statistical tools used in epidemiology and is written so that those without advanced statistical training can comprehend the ideas underlying the analytical techniques. The authors emphasize the extent to which similar results are obtained from different methods, both simple and complex. To this edition they have added a new chapter on "Comparison of Numerical Results for Various Methods of Adjustment" and also one on "The Primacy of Data Collection." New topics include the Kaplan-Meier product-limit method and the Cox proportional hazards model for analysis of time-related outcomes. An appendix of data from the Framingham Heart Study is used to illustrate the application of various analytical methods to an identical set of real data and provides source material for student exercises. The text has been updated throughout.

Viashal

This book remains one of the best basic Epidemiology Methods books on the planet. It is a no nonsense book that gives the proper statistic with its confidence interval or statistical test, often with its derivation. Its index is highly useable: if i need to know how to calculate a confidence interval on an an SMR, I can just look up SMR and there will be an entry for Confidence Interval for SMR. This is a book that should remain of the shelf of every practicing epidemiologist who needs to look stuff up. A word of caution: there is NO philosophy (eg on selection bias) in this book so in that sense it not really a stand-alone Epi text-book, but an extremely useful supplement to be used along with a talkative text or your own coursepack.

Fek

thank you...

for medical students or those which start to study epidemiology and public health professionals, very good simple book

Manazar

The authors are reputable epidemiologists who have written a concise and clear elementary treatment of the statistical methods that are used in epidemiology. The book is very practical and includes some major real data sets. The authors spend a lot of time covering random sampling, the relative risk and the odds ratio and provide enough exercises at the end of the chapters to engage the students. This is a great text for a first course or for self-study. It also is a fine reference book for statisticians and practitioners.

Jark

What we like. Comprehensive, concise, and clear. Fills the VOID left by other epidemiology analysis texts and the statistics not calculated by SPSS and SAS. Our constant companion in each epidemiology research task. What we do not like. More information on regression analysis in the next edition please.

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