This text combines applied and theoretical approaches to the analysis of epidemiologic issues. It goes beyond elementary material to deal with real problems generated by disease data, and delves into less usual areas such as the analysis of spatial distributions, survival data, proportional hazards regression, and "computer intensive" approaches to statistical estimation. Each method discussed in the text is illustrated with examples which include complete sets of data. Using actual data demonstrates the strengths and weaknesses of different analytic approaches in describing a disease process. The book's goal is to develop a clear understanding of analytic approaches to problems in epidemiological data analysis without relying on sophisticated mathematics and advanced statistical theory. Individuals with some background in epidemiology and statistics will find this a useful volume in the study of epidemiological analysis.
"synopsis" may belong to another edition of this title.
375p original green cloth, a clean and firm copy very little used, a well preserved copy with markings from a Cambridge college library,
"This book covers a large number of statistical methods useful in analyzing epidemiologic data. The material is clearly presented and is illustrated by interesting examples based on real data. Most of the examples are analyzed by more than one method and, when models are used, by more than one
model. This is extremely helpful in understanding the relationship between different analytic techniques. This should be a valuable reference book for statisticians and epidemiologists, and a good text for an intermediate level course." --Suzanne Hudson, Department of Biostatistics, East Carolina
University
From reviews of previous editions:
"This book is well-written and is generally easy to read. Selvin has done a nice job of presenting methods and illustrating the methods with numerical data."--Journal of the American Statistical Association
,.".an outstanding, readable, and useful presentation of the methods of analysis of disease data. The author has filled a gap admirably. I am sure that this book will deservedly become extensively used in the field of epidemiology world-wide..."--International Journal of Health Sciences
"This is a well-written book that provides an important link between the analysis and interpretation of continuous data in epidemiologic terms. The text would be useful in an immediate epidemiology course that describes the basics of life-table analysis, logistic regression, and survival
analysis."--Epidemiology Monitor
"This book covers a large number of statistical methods useful in analyzing epidemiologic data. The material is clearly presented and is illustrated by interesting examples based on real data. Most of the examples are analyzed by more than one method and, when models are used, by more than one
model. This is extremely helpful in understanding the relationship between different analytic techniques. This should be a valuable reference book for statisticians and epidemiologists, and a good text for an intermediate level course." --Suzanne Hudson, Department of Biostatistics, East Carolina
University
From reviews of previous editions:
"This book is well-written and is generally easy to read. Selvin has done a nice job of presenting methods and illustrating the methods with numerical data."--Journal of the American Statistical Association
, .."an outstanding, readable, and useful presentation of the methods of analysis of disease data. The author has filled a gap admirably. I am sure that this book will deservedly become extensively used in the field of epidemiology world-wide..."--International Journal of Health Sciences
"This is a well-written book that provides an important link between the analysis and interpretation of continuous data in epidemiologic terms. The text would be useful in an immediate epidemiology course that describes the basics of life-table analysis, logistic regression, and survival
analysis."--Epidemiology Monitor
"This book covers a large number of statistical methods useful in analyzing epidemiologic data. The material is clearly presented and is illustrated by interesting examples based on real data. Most of the examples are analyzed by more than one method and, when models are used, by more than one model. This is extremely helpful in understanding the relationship between different analytic techniques. This should be a valuable reference book for statisticians and epidemiologists, and a good text for an intermediate level course." --Suzanne Hudson, Department of Biostatistics, East Carolina University
From reviews of previous editions:
"This book is well-written and is generally easy to read. Selvin has done a nice job of presenting methods and illustrating the methods with numerical data."--Journal of the American Statistical Association
,.".an outstanding, readable, and useful presentation of the methods of analysis of disease data. The author has filled a gap admirably. I am sure that this book will deservedly become extensively used in the field of epidemiology world-wide..."--International Journal of Health Sciences
"This is a well-written book that provides an important link between the analysis and interpretation of continuous data in epidemiologic terms. The text would be useful in an immediate epidemiology course that describes the basics of life-table analysis, logistic regression, and survival analysis."--Epidemiology Monitor
"This book covers a large number of statistical methods useful in analyzing epidemiologic data. The material is clearly presented and is illustrated by interesting examples based on real data. Most of the examples are analyzed by more than one method and, when models are used, by more than one model. This is extremely helpful in understanding the relationship between different analytic techniques. This should be a valuable reference book for statisticians and epidemiologists, and a good text for an intermediate level course." --Suzanne Hudson, Department of Biostatistics, East Carolina University
From reviews of previous editions:
"This book is well-written and is generally easy to read. Selvin has done a nice job of presenting methods and illustrating the methods with numerical data."--Journal of the American Statistical Association
..".an outstanding, readable, and useful presentation of the methods of analysis of disease data. The author has filled a gap admirably. I am sure that this book will deservedly become extensively used in the field of epidemiology world-wide..."--International Journal of Health Sciences
"This is a well-written book that provides an important link between the analysis and interpretation of continuous data in epidemiologic terms. The text would be useful in an immediate epidemiology course that describes the basics of life-table analysis, logistic regression, and survival analysis."--Epidemiology Monitor
"About this title" may belong to another edition of this title.
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Condition: Good. Volume 17. This is an ex-library book and may have the usual library/used-book markings inside.This book has hardback covers. In good all round condition. No dust jacket. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,850grams, ISBN:0195067665. Seller Inventory # 5791422
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Hardcover. Condition: Good. 375p original green cloth, a clean and firm copy very little used, a well preserved copy with markings from a Cambridge college library, Language: English. Seller Inventory # 82674
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Seller: Dorley House Books, Inc., Hagerstown, MD, U.S.A.
Hardcover. Condition: Near Fine. Dust Jacket Condition: Near Fine. Charts, Graphs, Formulae (illustrator). 1st Edition. dj in mylar; green c w/gilt spikne titles; 375 clean, unmarked pages/index.includes in content: Measures of risk: rates and probabilities. Rates - Probabilities -- Incidence and prevalence -- Survival probabilities and hazard rates -- Statistical properties of probabilities calculated from mortality or disease data -- Analysis of rates: smoothing, transforming, and adjusting -- Variation and bias. Seller Inventory # 1254048