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"New edition of the easy-to-use standard text guiding biomedical researchers in the use of advanced statistical methods."@en
"New edition of the easy-to-use standard text guiding biomedical researchers in the use of advanced statistical methods."
"For biomedical researchers, the new edition of this standard text guides readers 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 used to perform the analyses, in this edition employing the intuitive version 10. 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 new 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."@en
"This text will enable biomedical researchers to use several advanced statistical methods that have proven valuable in medical research. The emphasis is on understanding the assumptions underlying each method, using exploratory techniques to determine the most appropriate method, and presenting results in a way that will be readily understood."@en
"This text will enable biomedical researchers to use a number of advanced statistical methods that have proven valuable in medical research. It is intended for people who have had an introductory course in biostatistics. A statistical software package (Stata) is used to avoid mathematics beyond the high school level. The emphasis is on understanding the assumptions underlying each method, using exploratory techniques to determine the most appropriate method, and presenting results in a way that will be readily understood by clinical colleagues. Numerous real examples from the medical literature are used to illustrate these techniques. Graphical methods are used extensively. Topics covered include linear regression, logistic regression, Poisson regression, survival analysis, fixed-effects analysis of variance, and repeated-measures analysis of variance. Each method is introduced in its simplest form and is then extended to cover situations in which multiple explanatory variables are collected on each study subject."@en

genre

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"Problems and exercises"@en
"Lehrbuch"
"Livres électroniques"
"Electronic books"
"Electronic books"@en

name

http://schema.org/name

"Statistical Modeling for Biomedical Researchers a Simple Introduction to the Analysis of Complex Data"@en
"Statistical Modeling for Biomedical Rearchers : A Simple Introduction to the Analysis of Complex Data"
"Statistical Modeling for Biomedical Researchers A Simple Introduction to the Analysis of Complex Data"
"Statistical Modeling for Biomedical Researchers A Simple Introduction to the Analysis of Complex Data"@en
"Statistical modeling for biomedical researchers a simple introduction to the analysis of complex data"@en
"Statistical modeling for biomedical researchers a simple introduction to the analysis of complex data"
"Statistical modeling for biomedical researchers : a simple introduction to the analysis of complex data"@en
"Statistical modeling for biomedical researchers : a simple introduction to the analysis of complex data"

workExample

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