Statistical modeling for biomedical researchers: a simple introduction to the analysis of complex data
The second edition of this standard text guides biomedical researchers in the selection and use of advanced statistical methods and the presentation of results to clinical colleagues. It assumes no knowledge of mathematics beyond high school level and is accessible to anyone with an introductory bac...
Gespeichert in:
Beteilige Person: | |
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Format: | Elektronisch E-Book |
Sprache: | Englisch |
Veröffentlicht: |
Cambridge
Cambridge University Press
2009
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Ausgabe: | Second edition |
Schlagwörter: | |
Links: | https://doi.org/10.1017/CBO9780511575884 https://doi.org/10.1017/CBO9780511575884 https://doi.org/10.1017/CBO9780511575884 |
Zusammenfassung: | The second edition of this standard text guides biomedical researchers in the selection and use of advanced statistical methods and the presentation of results to clinical colleagues. It assumes no knowledge of mathematics beyond high school level and is accessible to anyone with an introductory background in statistics. The Stata statistical software package is again used to perform the analyses, this time employing the much improved version 10 with its intuitive point and click as well as character-based commands. Topics covered include linear, logistic and Poisson regression, survival analysis, fixed-effects analysis of variance, and repeated-measure analysis of variance. Restricted cubic splines are used to model non-linear relationships. Each method is introduced in its simplest form and then extended to cover more complex situations. An appendix will help the reader select the most appropriate statistical methods for their data. The text makes extensive use of real data sets available at http://biostat.mc.vanderbilt.edu/dupontwd/wddtext/ |
Beschreibung: | Title from publisher's bibliographic system (viewed on 05 Oct 2015) |
Umfang: | 1 online resource (xx, 522 pages) |
ISBN: | 9780511575884 |
DOI: | 10.1017/CBO9780511575884 |
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520 | |a The second edition of this standard text guides biomedical researchers in the selection and use of advanced statistical methods and the presentation of results to clinical colleagues. It assumes no knowledge of mathematics beyond high school level and is accessible to anyone with an introductory background in statistics. The Stata statistical software package is again used to perform the analyses, this time employing the much improved version 10 with its intuitive point and click as well as character-based commands. Topics covered include linear, logistic and Poisson regression, survival analysis, fixed-effects analysis of variance, and repeated-measure analysis of variance. Restricted cubic splines are used to model non-linear relationships. Each method is introduced in its simplest form and then extended to cover more complex situations. An appendix will help the reader select the most appropriate statistical methods for their data. The text makes extensive use of real data sets available at http://biostat.mc.vanderbilt.edu/dupontwd/wddtext/ | ||
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author | Dupont, William D. 1946- |
author_facet | Dupont, William D. 1946- |
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contents | Simple linear regression -- Multiple linear regression -- Simple logistic regression -- Multiple logistic regression -- Introduction to survival analysis -- Hazard regression analysis -- Introduction to poisson regression : inferences on morbidity and mortality rates -- Multiple poisson regression -- Fixed effects analysis of variance -- Repeated-measures analysis of variance |
ctrlnum | (ZDB-20-CBO)CR9780511575884 (OCoLC)890673850 (DE-599)BVBBV043943084 |
dewey-full | 610.724015118 |
dewey-hundreds | 600 - Technology (Applied sciences) |
dewey-ones | 610 - Medicine and health |
dewey-raw | 610.724015118 |
dewey-search | 610.724015118 |
dewey-sort | 3610.724015118 |
dewey-tens | 610 - Medicine and health |
discipline | Medizin |
doi_str_mv | 10.1017/CBO9780511575884 |
edition | Second edition |
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spelling | Dupont, William D. 1946- Verfasser aut Statistical modeling for biomedical researchers a simple introduction to the analysis of complex data William D. Dupont Second edition Cambridge Cambridge University Press 2009 1 online resource (xx, 522 pages) txt rdacontent c rdamedia cr rdacarrier Title from publisher's bibliographic system (viewed on 05 Oct 2015) Simple linear regression -- Multiple linear regression -- Simple logistic regression -- Multiple logistic regression -- Introduction to survival analysis -- Hazard regression analysis -- Introduction to poisson regression : inferences on morbidity and mortality rates -- Multiple poisson regression -- Fixed effects analysis of variance -- Repeated-measures analysis of variance The second edition of this standard text guides biomedical researchers in the selection and use of advanced statistical methods and the presentation of results to clinical colleagues. It assumes no knowledge of mathematics beyond high school level and is accessible to anyone with an introductory background in statistics. The Stata statistical software package is again used to perform the analyses, this time employing the much improved version 10 with its intuitive point and click as well as character-based commands. Topics covered include linear, logistic and Poisson regression, survival analysis, fixed-effects analysis of variance, and repeated-measure analysis of variance. Restricted cubic splines are used to model non-linear relationships. Each method is introduced in its simplest form and then extended to cover more complex situations. An appendix will help the reader select the most appropriate statistical methods for their data. The text makes extensive use of real data sets available at http://biostat.mc.vanderbilt.edu/dupontwd/wddtext/ Mathematisches Modell Medizin Medicine / Research / Statistical methods / Mathematical models Statistik (DE-588)4056995-0 gnd rswk-swf Datenanalyse (DE-588)4123037-1 gnd rswk-swf 1\p (DE-588)4123623-3 Lehrbuch gnd-content Statistik (DE-588)4056995-0 s Datenanalyse (DE-588)4123037-1 s 2\p DE-604 Erscheint auch als Druckausgabe 978-0-521-61480-1 Erscheint auch als Druckausgabe 978-0-521-84952-4 https://doi.org/10.1017/CBO9780511575884 Verlag URL des Erstveröffentlichers Volltext 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk 2\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
spellingShingle | Dupont, William D. 1946- Statistical modeling for biomedical researchers a simple introduction to the analysis of complex data Simple linear regression -- Multiple linear regression -- Simple logistic regression -- Multiple logistic regression -- Introduction to survival analysis -- Hazard regression analysis -- Introduction to poisson regression : inferences on morbidity and mortality rates -- Multiple poisson regression -- Fixed effects analysis of variance -- Repeated-measures analysis of variance Mathematisches Modell Medizin Medicine / Research / Statistical methods / Mathematical models Statistik (DE-588)4056995-0 gnd Datenanalyse (DE-588)4123037-1 gnd |
subject_GND | (DE-588)4056995-0 (DE-588)4123037-1 (DE-588)4123623-3 |
title | Statistical modeling for biomedical researchers a simple introduction to the analysis of complex data |
title_auth | Statistical modeling for biomedical researchers a simple introduction to the analysis of complex data |
title_exact_search | Statistical modeling for biomedical researchers a simple introduction to the analysis of complex data |
title_full | Statistical modeling for biomedical researchers a simple introduction to the analysis of complex data William D. Dupont |
title_fullStr | Statistical modeling for biomedical researchers a simple introduction to the analysis of complex data William D. Dupont |
title_full_unstemmed | Statistical modeling for biomedical researchers a simple introduction to the analysis of complex data William D. Dupont |
title_short | Statistical modeling for biomedical researchers |
title_sort | statistical modeling for biomedical researchers a simple introduction to the analysis of complex data |
title_sub | a simple introduction to the analysis of complex data |
topic | Mathematisches Modell Medizin Medicine / Research / Statistical methods / Mathematical models Statistik (DE-588)4056995-0 gnd Datenanalyse (DE-588)4123037-1 gnd |
topic_facet | Mathematisches Modell Medizin Medicine / Research / Statistical methods / Mathematical models Statistik Datenanalyse Lehrbuch |
url | https://doi.org/10.1017/CBO9780511575884 |
work_keys_str_mv | AT dupontwilliamd statisticalmodelingforbiomedicalresearchersasimpleintroductiontotheanalysisofcomplexdata |