Applying Quantitative Bias Analysis to Epidemiologic Data. (Record no. 29700)

MARC details
000 -LEADER
fixed length control field 05485nam a22003377a 4500
001 - CONTROL NUMBER
control field 20241106214626.0
003 - CONTROL NUMBER IDENTIFIER
control field OCoLC
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20241106215044.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 241106b |||||||| |||| 00| 0 eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 978-3-030-82672-7
International Standard Book Number 978-3-030-82673-4 (eBook)
022 ## - INTERNATIONAL STANDARD SERIAL NUMBER
International Standard Serial Number 1431-8776
International Standard Serial Number 2197-5671 (electronic)
040 ## - CATALOGING SOURCE
Transcribing agency ddc
041 ## - LANGUAGE CODE
Language code of text/sound track or separate title English
100 ## - MAIN ENTRY--PERSONAL NAME
Fuller form of name Matthew P. Fox
222 ## - KEY TITLE
Key title Applying Quantitative Bias Analysis to Epidemiologic Data.
Qualifying information adjusted antidepressant assess beta distribution bias analysis methods bias analysis results bias model bias parameters biases birth certificate breast cancer calculate case-control study Chap classification errors confidence interval controls corrected estimate covariate crude disease status educated guesses Epidemiol epidemiologic equals equations estimate of association example expected exposed exposure and disease exposure classification exposure misclassification exposure prevalence exposure status Fig frequentist Greenland heuristic HIV impact inference internal validation investigator loss-to-follow-up male circumcision measured median melanoma multidimensional bias analysis multiple bias analysis Muslim nondifferential misclassification nonparticipants nonrandomized null observed data odds ratio outcome participation predictive values probabilistic bias analysis probability density probability distribution quantitative bias analysis random error range risk ratio RR sample selection bias self-report sensitivity and specificity simple bias analysis simulation interval smoking status source population study population study’s substudy systematic error Table Total trapezoidal distribution uncertainty unexposed uniform distribution unmeasured confounder uveal melanoma validation data values assigned
240 ## - UNIFORM TITLE
Uniform title Applying Quantitative Bias Analysis to Epidemiologic Data.
245 ## - TITLE STATEMENT
Title Applying Quantitative Bias Analysis to Epidemiologic Data.
250 ## - EDITION STATEMENT
Edition statement 2nd. Edition
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Place of publication, distribution, etc. Department of Epidemiology Boston University School of Public Health Boston, MA, USA |
Name of publisher, distributor, etc. Springer Nature Switzerland AG |
Date of publication, distribution, etc. 2021.
300 ## - PHYSICAL DESCRIPTION
Extent 475 Pages
Extent Includes References and Index
490 ## - SERIES STATEMENT
Series statement Statistics for Biology and Health
520 ## - SUMMARY, ETC.
Summary, etc. This text provides the first-ever compilation of bias analysis methods for use with epidemiologic data. It guides the reader through the planning stages of bias analysis, including the design of validation studies and the collection of validity data from other sources. Three chapters present methods for corrections to address selection bias, uncontrolled confounding, and classification errors. Subsequent chapters extend these methods to multidimensional bias analysis, probabilistic bias analysis, and multiple bias analysis. The text concludes with a chapter on presentation and interpretation of bias analysis results.<br/><br/>Although techniques for bias analysis have been available for decades, these methods are considered difficult to implement. This text not only gathers the methods into one cohesive and organized presentation, it also explains the methods in a consistent fashion and provides customizable spreadsheets to implement the solutions. By downloading the spreadsheets (available at links provided in the text), readers can follow the examples in the text and then modify the spreadsheet to complete their own bias analyses. Readers without experience using quantitative bias analysis will be able to design, implement, and understand bias analyses that address the major threats to the validity of epidemiologic research. More experienced analysts will value the compilation of bias analysis methods and links to software tools that facilitate their projects.<br/><br/>Timothy L. Lash is an Associate Professor of Epidemiology and Matthew P. Fox is an Assistant Professor in the Center for International Health and Development, both at the Boston University School of Public Health. Aliza K. Fink is a Project Manager at Macro International in Bethesda, Maryland. Together they have organized and presented many day-long workshops on the methods of quantitative bias analysis. In addition, they have collaborated on many papers that developed methods of quantitative bias analysis or used the methods in the data analysis.
600 ## - SUBJECT ADDED ENTRY--PERSONAL NAME
General subdivision Biometry, Diseases, Epidemiology, Mathematics / Probability & Statistics / General, Medical / Biostatistics, Medical / Epidemiology, Medical / General, Medical / Infectious Diseases, Medical / Instruments & Supplies, Medical / Public Health, Medical informatics, Public health, Social Science / Methodology, Social Science / Research, Sociology—Methodology, Bias (Epidemiology), Computers / Computer Simulation, Computers / General, Electronic books, Epidemiologic Methods, Epidemiology -- Research -- Methodology, Epidemiology -- Research -- Statistical methods -- Methodology, Mathematics / General, Medical / Diseases, Medical / Informatics, Social Science / Sociology / General, Computer simulation, Digital computer simulation, Emerging infectious diseases, Epidemiology -- Research, Epidemiology -- Research -- Statistical methods, Medical care, Medicine, Public Health/Gesundheitswesen, Social sciences -- Methodology, Statistics, Statistics for Life Sciences, Medicine, Health Sciences.
700 ## - ADDED ENTRY--PERSONAL NAME
Fuller form of name Richard F. MacLehose
Fuller form of name Timothy L. Lash
856 ## - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier <a href="https://doi.org/10.1007/978-3-030-82673-4 ">https://doi.org/10.1007/978-3-030-82673-4 </a>
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme ddc
Koha item type E-BOOKS
Suppress in OPAC
Holdings
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          MWALIMU NYERERE LEARNING RESOURCES CENTRE-CUHAS BUGANDO MWALIMU NYERERE LEARNING RESOURCES CENTRE-CUHAS BUGANDO 11/06/2024   20241106214626.0 11/06/2024 20241106214626.0 https://doi.org/10.1007/978-3-030-82673-4 11/06/2024 E-BOOKS
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