Statistical tools for epidemiologic research /:
In this innovative new book, Steve Selvin provides readers with a clear understanding of intermediate biostatistical methods without advanced mathematics or statistical theory (for example, no Bayesian statistics, no causal inference, no linear algebra and only a slight hint of calculus). This text...
Gespeichert in:
| 1. Verfasser: | |
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| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Oxford ; New York :
Oxford University Press,
©2011.
|
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Zusammenfassung: | In this innovative new book, Steve Selvin provides readers with a clear understanding of intermediate biostatistical methods without advanced mathematics or statistical theory (for example, no Bayesian statistics, no causal inference, no linear algebra and only a slight hint of calculus). This text answers the important question: After a typical first-year course in statistical methods, what next? 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. |
| Beschreibung: | 1 online resource (xv, 494 pages) : illustrations |
| Bibliographie: | Includes bibliographical references and index. |
| ISBN: | 9780199842452 0199842450 1283010003 9781283010009 9786613010001 6613010006 |
Internformat
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| 505 | 0 | |a Two measures of risk : odds ratios and average rates -- Tabular data : the 2xð ðk table and summarizing 2 xð ð2 tables -- Two especially useful estimation tools -- Linear logistic regression : discrete data -- Logistic regression : continuous data -- Analysis of count data : poisson regression model -- Analysis of matched case/control data -- Spatial data : estimation and analysis -- Classification : three examples -- Three smoothing techniques -- Case study : description and analysis -- Longitudinal data analysis -- Analysis of multivariate tables -- Misclassification : a detailed description of a simple case -- Advanced topics. | |
| 520 | |a In this innovative new book, Steve Selvin provides readers with a clear understanding of intermediate biostatistical methods without advanced mathematics or statistical theory (for example, no Bayesian statistics, no causal inference, no linear algebra and only a slight hint of calculus). This text answers the important question: After a typical first-year course in statistical methods, what next? 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. | ||
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| contents | Two measures of risk : odds ratios and average rates -- Tabular data : the 2xð ðk table and summarizing 2 xð ð2 tables -- Two especially useful estimation tools -- Linear logistic regression : discrete data -- Logistic regression : continuous data -- Analysis of count data : poisson regression model -- Analysis of matched case/control data -- Spatial data : estimation and analysis -- Classification : three examples -- Three smoothing techniques -- Case study : description and analysis -- Longitudinal data analysis -- Analysis of multivariate tables -- Misclassification : a detailed description of a simple case -- Advanced topics. |
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| discipline | Medizin |
| format | Electronic eBook |
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| illustrated | Illustrated |
| indexdate | 2024-11-27T13:17:42Z |
| institution | BVB |
| isbn | 9780199842452 0199842450 1283010003 9781283010009 9786613010001 6613010006 |
| language | English |
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| physical | 1 online resource (xv, 494 pages) : illustrations |
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| spelling | Selvin, S. Statistical tools for epidemiologic research / Steve Selvin. Oxford ; New York : Oxford University Press, ©2011. 1 online resource (xv, 494 pages) : illustrations text txt rdacontent computer c rdamedia online resource cr rdacarrier Includes bibliographical references and index. Two measures of risk : odds ratios and average rates -- Tabular data : the 2xð ðk table and summarizing 2 xð ð2 tables -- Two especially useful estimation tools -- Linear logistic regression : discrete data -- Logistic regression : continuous data -- Analysis of count data : poisson regression model -- Analysis of matched case/control data -- Spatial data : estimation and analysis -- Classification : three examples -- Three smoothing techniques -- Case study : description and analysis -- Longitudinal data analysis -- Analysis of multivariate tables -- Misclassification : a detailed description of a simple case -- Advanced topics. In this innovative new book, Steve Selvin provides readers with a clear understanding of intermediate biostatistical methods without advanced mathematics or statistical theory (for example, no Bayesian statistics, no causal inference, no linear algebra and only a slight hint of calculus). This text answers the important question: After a typical first-year course in statistical methods, what next? 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. Print version record. English. Epidemiology Statistical methods. Epidemiologic Methods Épidémiologie Méthodes statistiques. MEDICAL Health Risk Assessment. bisacsh MEDICAL Epidemiology. bisacsh Epidemiology Statistical methods fast has work: Statistical tools for epidemiologic research (Text) https://id.oclc.org/worldcat/entity/E39PCYjXpwGwfw7B7mXk6wQxwC https://id.oclc.org/worldcat/ontology/hasWork Print version: Selvin, S. Statistical tools for epidemiologic research. Oxford ; New York : Oxford University Press, ©2011 9780199755967 (DLC) 2010013555 (OCoLC)605753336 FWS01 ZDB-4-EBA FWS_PDA_EBA https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=357102 Volltext |
| spellingShingle | Selvin, S. Statistical tools for epidemiologic research / Two measures of risk : odds ratios and average rates -- Tabular data : the 2xð ðk table and summarizing 2 xð ð2 tables -- Two especially useful estimation tools -- Linear logistic regression : discrete data -- Logistic regression : continuous data -- Analysis of count data : poisson regression model -- Analysis of matched case/control data -- Spatial data : estimation and analysis -- Classification : three examples -- Three smoothing techniques -- Case study : description and analysis -- Longitudinal data analysis -- Analysis of multivariate tables -- Misclassification : a detailed description of a simple case -- Advanced topics. Epidemiology Statistical methods. Epidemiologic Methods Épidémiologie Méthodes statistiques. MEDICAL Health Risk Assessment. bisacsh MEDICAL Epidemiology. bisacsh Epidemiology Statistical methods fast |
| title | Statistical tools for epidemiologic research / |
| title_auth | Statistical tools for epidemiologic research / |
| title_exact_search | Statistical tools for epidemiologic research / |
| title_full | Statistical tools for epidemiologic research / Steve Selvin. |
| title_fullStr | Statistical tools for epidemiologic research / Steve Selvin. |
| title_full_unstemmed | Statistical tools for epidemiologic research / Steve Selvin. |
| title_short | Statistical tools for epidemiologic research / |
| title_sort | statistical tools for epidemiologic research |
| topic | Epidemiology Statistical methods. Epidemiologic Methods Épidémiologie Méthodes statistiques. MEDICAL Health Risk Assessment. bisacsh MEDICAL Epidemiology. bisacsh Epidemiology Statistical methods fast |
| topic_facet | Epidemiology Statistical methods. Epidemiologic Methods Épidémiologie Méthodes statistiques. MEDICAL Health Risk Assessment. MEDICAL Epidemiology. Epidemiology Statistical methods |
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| work_keys_str_mv | AT selvins statisticaltoolsforepidemiologicresearch |