Last edited by Mezilrajas

Monday, November 23, 2020 | History

4 edition of **Statistical analysis of epidemiologic data** found in the catalog.

- 35 Want to read
- 29 Currently reading

Published
**1991** by Oxford University Press in New York .

Written in English

- Epidemiology -- Statistical methods.,
- Data Interpretation, Statistical.,
- Epidemiologic Methods.

**Edition Notes**

Includes bibliographical references (p. 365-370) and index.

Statement | Steve Selvin. |

Series | Monographs in epidemiology and biostatistics ;, v. 17 |

Classifications | |
---|---|

LC Classifications | RA652.2.M3 S45 1991 |

The Physical Object | |

Pagination | xiv, 375 p. : |

Number of Pages | 375 |

ID Numbers | |

Open Library | OL1860833M |

ISBN 10 | 0195067665 |

LC Control Number | 90014227 |

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Statistical Analysis of Epidemiologic Data (Monographs in Epidemiology and Biostatistics (35)) 3rd Edition. Statistical Analysis of Epidemiologic Data (Monographs in Epidemiology and Biostatistics (35)) 3rd Edition.

by Steve Selvin (Author) out of 5 stars 5 ratings. ISBN ISBN Cited by: The purpose of this book is to illustrate fundamental concepts involved in statistical epidemiology.

It is not a data analysis book. Very few texts in statistics are able to clearly explain difficult concepts (in my opinion). This book is a rare exception (and Agresti,).Cited by: Statistical Analysis of Epidemiologic Data. Analytic procedures suitable for the study of human disease are scattered throughout the statistical and epidemiologic literature.

Explanations of their. statistical analysis of epidemiologic data Download statistical analysis of epidemiologic data or read online books in PDF, EPUB, Tuebl, and Mobi Format. Click Download or Read Online button to get statistical analysis of epidemiologic data book now.

This site is like a library, Use search box in the widget to get ebook that you want. Statistical Analysis Of Epidemiologic Data. Statistical analysis of epidemiologic data. [S Selvin] -- For the Second Edition, a new chapter on the analysis of matched data has been added.

This covers both discrete and continuous outcomes and explains both the classic analytic approach and the. "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 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 s: 5. This second edition of Statistical Methods in Spatial Epidemiology is updated and expanded to offer a complete coverage of the analysis and application of spatial statistical methods.

The book is divided into two main sections: Part 1 introduces basic definitions and terminology, along with map construction and some basic models. Organize data by magnitude (sort) across rows and down columns.

Use the most important epidemiologic features on which to sort the data. Organizing data columns and rows by the magnitude of the marginal summary statistics is often helpful. When the row or column headings are numeric (e.g., age groups), they should govern the order of the data.

Statistical analysis of epidemiologic data. Selvin. Publication date. Topics. Epidemiology -- Statistical methods., Data Interpretation, Statistical., Epidemiologic Methods. Publisher. Oxford University : Epidemiological data suggests co-morbid psychiatric disorders are common and in fact more the rule rather than the exception.

Kessler reported that three-quarters of those with a lifetime anxiety disorder have at least one other lifetime psychiatric disorder. Panic disorder had the highest co. This well-established text gives readers a clear understanding of the statistical methods that are widely used in epidemiologic research without depending on advanced mathematical or statistical theory.

By applying these methods to actual data, Selvin reveals the. This text provides a clear understanding of the statistical methods that are widely used in epidemiologic research without depending on advanced mathematical or statistical theory.

By applying these methods to actual data, this book reveals the strengths and weaknesses of each analytic : Steve Selvin. Statistical analysis of epidemiologic data Statistical analysis of epidemiologic data by S. Selvin Published by Oxford University Press in New by: From seasoned author Ray Merrill, this text explores how epidemiologic methods are conducted and interpreted.

In four sections, Statistical Methods in Epidemiologic Research covers basic concepts in epidemiology and statistics, study designs, statistical techniques and applications, as well as special topics.

Key Features. compared with similar statistical packages for epidemiological data analysis such as Stata. The purpose of this book is therefore to bridge this gap by making R easy to learn for researchers from developing countries and also to promote its use. My experience in epidemiological studies spans.

PDF | On Jan 1,M. Nurminen and others published Statistical analysis of epidemiological data: an overview of some basic considerations | Find, read and cite all the research you need on Author: Markku Nurminen.

Statistical Analysis of Epidemiologic Data. Third Edition. Steve Selvin Monographs in Epidemiology and Biostatistics. This popular intermediate-level text continues to focus sharply on clear and practical descriptions of statistical methods for analyzing epidemiologic data. Download the for Statistical analysis of epidemiologic data; Books for people who don't read print.

The Internet Archive is proud to be distributing over 1 million books free in a format called DAISY, designed for those of us who find it challenging to use regular printed media.

There are two types of DAISYs on Open Library: open and protected. Book: Statistical analysis of epidemiologic data 3 + pp. Abstract: This book aims to give readers a clear understanding of the statistical methods that are widely used in epidemiological analysis without depending on advanced mathematical or statistical by: "This book covers a large number of statistical methods useful in analyzing epidemiologic data.

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Through a “hands on” approach to the use of SAS for a broad number of epidemiologic analyses, readers learn techniques for data entry and cleaning, categorical analysis, ANOVA, and linear regression and much more.

Exercises utilizing real-world data sets are featured throughout the book. Epidemiology - Epidemiology - Sources of epidemiological data: Epidemiologists use primary and secondary data sources to calculate rates and conduct studies.

Primary data is the original data collected for a specific purpose by or for an investigator. For example, an epidemiologist may collect primary data by interviewing people who became ill after eating at a restaurant in order to identify.

'This book provides an easy-to-read introduction to the fundamental concepts applicable to survival analysis without relying on mathematical prerequisites.

[the] text gives a thorough introduction to the area of survival analysis for those with little prior statistical knowledge.' Source: International Journal of Epidemiology.

“Applying Quantitative Bias Analysis to Epidemiologic Data is the first text of its kind to give a comprehensive overview of the fieldThis book fills an important gap among epidemiology texts. It provides a unified reference for the myriad of bias analysis methods that appear in the literature.

Statistical analysis of epidemiologic data, 3rd ed. Chapter 4 (cohort data) is mainly dedicated to cohort effect and how to measure it with several examples. The analysis of spatial data is described in chapter 5, where details of the most common methods are given: nearest neighbour, transformed maps, spatial distribution about a point, and.

Appropriate use of statistical methods in the analysis and interpretation of epidemiological studies, including life-table analysis Epidemic theory (effective & basic reproduction numbers, epidemic thresholds) & techniques for analysis of infectious disease data (construction & use of epidemic curves, generation numbers, exceptional reporting.

Statistical analysis of epidemiologic data, 3rd ed. Articles from Journal of Epidemiology and Community Health are provided here courtesy of BMJ Group. Formats: Summary | PDF (28K) | Citation; Share. Facebook Twitter Google+ Support Center Support Center. External link.

Please review our privacy policy. This book aims to address the practical questions of how to approach data analysis. The book is organized in four parts. Part I introduces ways of thinking quantitatively about the disease process. Part II explores some of the computationally direct methods that have long been a part of classical epidemiological data analysis.

Epidemiology: Study Design and Data Analysis, Third Edition continues to focus on the quantitative aspects of epidemiological research. Updated and expanded, this edition shows students how statistical principles and techniques can help solve epidemiological s: The book explores nineteen case studies, each illustrating important approache More.

No one method using statistical tools to analyze important epidemiologic issues automatically yields the right answer, but a variety of methods creates a well-equipped tool kit, which is essential for dealing with the increasing complexity of modern data.

Our choices among the varied tools are dictated by the kind of data we. Statistical Methods in Epidemiologic Research Ray M.

Merrill, PhD, MPH, MS, FACE, FAAHB Professor Brigham Young University Provo, Utah 1 17/07/15 pm. statistical techniques discussed in Book 7. You may just not think about yourself in terms of being a “statistician”.

This presentation will provide a brief overview of the statistical and epidemiological methods introduced in Book 7: Statistics and Epidemiology for Cancer Registries.

You may find it helpful to follow along in your book. This introductory statistics textbook conveys the essential concepts and tools needed to develop and nurture statistical thinking.

It presents descriptive, inductive and explorative statistical methods and guides the reader through the process of quantitative data analysis. This book provides an overview of the use of spatial statistics in epidemiology — the study of the incidence and distribution of diseases.

Used appropriately, spatial analytical methods in conjunction with GIS and remotely sensed data can provide significant insights into the biological patterns and processes that underlie disease transmission.

The following books will also be available for purchase during the course, if in print: "Statistical Models in Epidemiology" by D Clayton & M Hills "Survival Analysis: A Practical Approach" by D.

Machin, Y. Cheung, M. Parmar "Essential Medical Statistics" by B Kirkwood & J Sterne" Statistical Methods in Cancer Research" by N E Breslow & N E Day. Statistical Tools for Epidemiologic Research thoroughly explains not just how statistical data analysis works, but how the analysis is accomplished.

From the basic foundation laid in the introduction, chapters gradually increase in sophistication with particular emphasis on regression techniques (logistic, Poisson, conditional logistic and log. • Variables to be used in the main analysis, • Statistical methods and software to be used, and, • Table shells to prepare for: o Univariable analysis, o Bivariable analysis, 1.

Collecting, analyzing, and reporting qualitative data is a valuable epidemiologic skill that requires careful consideration but will not be covered in this module. Books about biostatistics and epidemiology, including the latest additions to the bookstore, along with a subject index and search utility Stata: Data Analysis and Statistical Software PRODUCTS.

An ideal companion to the author’s co-authored works on statistical analysis for Springer such as Statistics Applied to Clinical Trials, this monograph will help researchers understand the processes involved in interpreting clinical data, as well as being a necessary prerequisite to mastering more advanced statistical techniques.

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Cancer Res. Nov; 38 (11 Pt 1)– Haber M, Longini IM, Jr, Cotsonis GA. Models for the statistical analysis of infectious disease data. Biometrics. Mar; 44 (1)– Robins JM, Greenland S. The role of model selection in causal inference from nonexperimental data.