Interpreting Epidemiologic Evidence: Strategies for Study Design & Analysis (Medicine)

Savitz,Savitz, David A.

ISBN 10: 019510840X / ISBN 13: 9780195108408

Published by Oxford University Press, 2003

About this Item

ALL ITEMS ARE DISPATCHED FROM THE UK WITHIN 48 HOURS ( BOOKS ORDERED OVER THE WEEKEND DISPATCHED ON MONDAY) ALL OVERSEAS ORDERS SENT BY TRACKABLE AIR MAIL. IF YOU ARE LOCATED OUTSIDE THE UK PLEASE ASK US FOR A POSTAGE QUOTE FOR MULTI VOLUME SETS BEFORE ORDERING.

Seller Inventory # mon0000836689

Bibliographic Details

• Title: Interpreting Epidemiologic Evidence: Strategies for Study Design & Analysis (Medicine)
• Publisher: Oxford University Press
• Publication Date: 2003
• Language: English
• ISBN 10: 019510840X
• ISBN 13: 9780195108408
• Binding: Hardcover
• Condition: Very Good
• Dust Jacket Condition: Includes dust jacket.

About this title

Synopsis

Evaluating the strength or persuasiveness of epidemiologic evidence is inherently challenging, both for those new to the field and for experienced researchers. There are a myriad of potential biases to consider, but little guidance about how to asses the likely impact on study results. This book offers a strategy for assessing epidemiologic research findings, explicitly describing the goals and products of epidemiologic research in order to better evaluate it successes and limitations. The focus throughout is on practical tools for making optimal use of available data to assess whether hypothesized biases are operative and to anticipate concerns at the point of study design in order to ensure that needed information is generated. Specific tools for assessing the presence and impact of selection bias in both cohort and case-control studies, bias from non-response, confounding, exposure measurement error, disease measurement error, and random error are identified and evaluated. The potential value of each approach as well as its limitations are discussed, using examples from the published literature. Such information should help those who generate and interpret epidemiologic research to apply methodological principles more effectively to substantive issues, leading to a more accurate appraisal of the current evidence and greater clarity about research needs.

About the Author

David A. Savitz is at University of North Carolina.