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Editorial Reviews
Review
Good points of the book are the exercises, comments and further reading at the end of each chapter, the availability of the data sets used … and the extensive discussion of confounding … this is a good, well-written piece of work.
-Pharmaceutical Statistics, 2004
Good points of the book are the exercises, comments and further reading at the end of each chapter, the availability of the data sets used…and the extensive discussion of confounding…this is a good, well-written piece of work.
Pharmaceutical Statistics, 2004
Jewell's book can certainly be included in any group of useful books on statistics in epidemiology. It actually might be the one with which I would start.
- Technometrics, February 2005, Vol. 47, No. 1
Jewells book can certainly be included in any group of useful books on statistics in epidemiology. It actually might be the one with which I would start.
-Technometrics, February 2005, Vol. 47, No. 1
This book is excellent; a real breakthrough in texts on statistics in epidemiology, especially in its attention to causation and bias.
-Sander Greenland, Department of Epidemiology, UCLA
This is a useful and thought-provoking book written by an expert in the field, providing a very valuable supplement to more introductory texts as well as a guide to more advanced sources.
- Journal of the Royal Statistics Society
This is a useful and thought-provoking book written by an expert in the field, providing a very valuable supplement to more introductory texts as well as a guide to more advanced sources.
-Journal of the Royal Statistics Society
Using examples, this experienced statistician identifies scientific issues and clearly links them to statistical approaches. Statistical theory and formality are grounded in manageable yet realistic examples. Coverage includes the basics and important topics such as measurement error and causal analysis. The book has excellent references, an informative index and glossary.
-ISI Short Book Reviews, August 2004
…It is a good companion text … The numerous worked examples and references to further reading at the end of each chapter are very good … I would find the book a useful reference for the teacher of statistical methods for epidemiology …
-Statistics in Medicine, 2005
-Pharmaceutical Statistics, 2004
Good points of the book are the exercises, comments and further reading at the end of each chapter, the availability of the data sets used…and the extensive discussion of confounding…this is a good, well-written piece of work.
Pharmaceutical Statistics, 2004
Jewell's book can certainly be included in any group of useful books on statistics in epidemiology. It actually might be the one with which I would start.
- Technometrics, February 2005, Vol. 47, No. 1
Jewells book can certainly be included in any group of useful books on statistics in epidemiology. It actually might be the one with which I would start.
-Technometrics, February 2005, Vol. 47, No. 1
This book is excellent; a real breakthrough in texts on statistics in epidemiology, especially in its attention to causation and bias.
-Sander Greenland, Department of Epidemiology, UCLA
This is a useful and thought-provoking book written by an expert in the field, providing a very valuable supplement to more introductory texts as well as a guide to more advanced sources.
- Journal of the Royal Statistics Society
This is a useful and thought-provoking book written by an expert in the field, providing a very valuable supplement to more introductory texts as well as a guide to more advanced sources.
-Journal of the Royal Statistics Society
Using examples, this experienced statistician identifies scientific issues and clearly links them to statistical approaches. Statistical theory and formality are grounded in manageable yet realistic examples. Coverage includes the basics and important topics such as measurement error and causal analysis. The book has excellent references, an informative index and glossary.
-ISI Short Book Reviews, August 2004
…It is a good companion text … The numerous worked examples and references to further reading at the end of each chapter are very good … I would find the book a useful reference for the teacher of statistical methods for epidemiology …
-Statistics in Medicine, 2005
Product Description
Statistical ideas have been integral to the development of epidemiology and continue to provide the tools needed to interpret epidemiological studies. Although epidemiologists do not need a highly mathematical background in statistical theory to conduct and interpret such studies, they do need more than an encyclopedia of "recipes."Statistics for Epidemiology achieves just the right balance between the two approaches, building an intuitive understanding of the methods most important to practitioners and the skills to use them effectively. It develops the techniques for analyzing simple risk factors and disease data, with step-by-step extensions that include the use of binary regression. It covers the logistic regression model in detail and contrasts it with the Cox model for time-to-incidence data. The author uses a few simple case studies to guide readers from elementary analyses to more complex regression modeling. Following these examples through several chapters makes it easy to compare the interpretations that emerge from varying approaches.Written by one of the top biostatisticians in the field, Statistics for Epidemiology stands apart in its focus on interpretation and in the depth of understanding it provides. It lays the groundwork that all public health professionals, epidemiologists, and biostatisticians need to successfully design, conduct, and analyze epidemiological studies.
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Inside This Book
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First Sentence:
In this book we describe the collection and analysis of data that speak to relationships between the occurrence of diseases and various descriptive characteristics of individuals in a population. Read the first page Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
backdoor path, body weight strata, treat alcohol consumption, spontaneous abortion history, binary outcome data, pancreatic cancer incidence, randomization assumption, causal graph, body weight categories, binary exposure, simple logistic regression model, small sample adjustments, rare disease assumption, causal measure, four indicator variables, observed log odds, fuel exposure, pooled table, incidence proportion, matching factors, marginal balance, stratified data, risk interval, estimated log odds, log odds ratio Key Phrases - Capitalized Phrases (CAPs): (learn more)
Western Collaborative Group Study, Problems Question, Parameter Estimate, Birthweight Low Normal Marital, Control Control, Itrue Type, Health Study, Log Model New!
Books on Related Topics | Concordance | Text Stats Browse Sample Pages:
Front Cover | Table of Contents | First Pages | Index | Surprise Me!
In this book we describe the collection and analysis of data that speak to relationships between the occurrence of diseases and various descriptive characteristics of individuals in a population. Read the first page Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
backdoor path, body weight strata, treat alcohol consumption, spontaneous abortion history, binary outcome data, pancreatic cancer incidence, randomization assumption, causal graph, body weight categories, binary exposure, simple logistic regression model, small sample adjustments, rare disease assumption, causal measure, four indicator variables, observed log odds, fuel exposure, pooled table, incidence proportion, matching factors, marginal balance, stratified data, risk interval, estimated log odds, log odds ratio Key Phrases - Capitalized Phrases (CAPs): (learn more)
Western Collaborative Group Study, Problems Question, Parameter Estimate, Birthweight Low Normal Marital, Control Control, Itrue Type, Health Study, Log Model New!
Books on Related Topics | Concordance | Text Stats Browse Sample Pages:
Front Cover | Table of Contents | First Pages | Index | Surprise Me!
Citations (learn more)
This book cites 62
books:
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11
books
cite this book:
See all 11 books citing this book
- Car Talk by Tom Magliozzi on page 31, and Back Matter
- Modelling Binary Data, Second Edition (Chapman & Hall/CRC Texts in Statistical Science) by David Collett in Front Matter, and Back Matter
- Modelling Survival Data in Medical Research, Second Edition by David Collett in Front Matter, and Back Matter
- Car Talk by Tom and Ray Magliozzi on page 31, and Back Matter
- An Introduction to Generalized Linear Models, Second Edition by Annette J. Dobson in Front Matter, and Back Matter
See all 62 books this book cites
- Genomic Signal Processing and Statistics (Eurasip Book Series on Signal Processing and Communications) (Pt. 2) by Edward R. Dougherty; Ilya Shmulevich; Jie Chen; Z. Jane Wang on page 318
- Statistical Analysis of Reliability Data (Chapman & Hall/CRC Texts in Statistical Science) by Martin J. Crowder in Front Matter
- Survival Analysis Using S: Analysis of Time-to-Event Data (Chapman & Hall/CRC Texts in Statistical Science) by Mara Tableman in Front Matter
- Linear Models with R (Chapman & Hall/CRC Texts in Statistical Science) by Julian J. Faraway in Front Matter
- Regression Methods in Biostatistics: Linear, Logistic, Survival, and Repeated Measures Models (Statistics for Biology and Health) by Eric Vittinghoff on page 327
See all 11 books citing this book
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82% buy the item featured on this page: Statistics for Epidemiology $74.79 |
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3% buy Epidemiology: An Introduction $27.61 |
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