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  <title>Regression Modeling Strategies ; with aplication to linear models, logistic regression, and survival analysis</title>
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  <namePart>Frank E. Harrell, Jr</namePart>
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   <publisher>Springer</publisher>
   <dateIssued>2001</dateIssued>
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  <languageTerm type="text">English</languageTerm>
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  <extent>xxii, 338 pages .; 18,5 x 25 cm</extent>
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<note>Many texts are excellent sources of knowledge about individual statistical tools, but the art of data analysis is about choosing and using multiple tools. Instead of presenting isolated techniques, this text emphasizes problem solving strategies that address the many issues arising when developing multivariable models using real data and not standard textbook examples. It includes imputation methods for dealing with missing data effectively, methods for dealing with nonlinear relationships and for making the estimation of transformations a formal part of the modeling process, methods for dealing with &quot;too many variables to analyze and not enough observations,&quot; and powerful model validation techniques based on the bootstrap. This text realistically deals with model uncertainty and its effects on inference to achieve &quot;safe data mining&quot;.</note>
<note type="statement of responsibility">authors, Frank E. Harrell, Jr</note>
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 <topic>Regression Analysis</topic>
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 <topic>Linear Models</topic>
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 <topic>Logistic Regression</topic>
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<subject authority="">
 <topic>Survival Analysis</topic>
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<classification>Metode Penelitian</classification>
<identifier type="isbn">0387952322</identifier>
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