Regression Modeling Strategies With Applications to Linear Models Logistic Regression and Survival Analysis Springer Series in Statistics 9781441929181 Medicine Health Science Books Visionneuse PDF LDG

Regression Modeling Strategies With Applications to Linear Models Logistic Regression and Survival Analysis Springer Series in Statistics 9781441929181 Medicine Health Science Books Lecteur PDF gratuit Regression%20Modeling%20Strategies%20With%20Applications%20to%20Linear%20Models%20Logistic%20Regression%20and%20Survival%20Analysis%20Springer%20Series%20in%20Statistics%209781441929181%20Medicine%20Health%20Science%20Books

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Regression%20Modeling%20Strategies%20With%20Applications%20to%20Linear%20Models%20Logistic%20Regression%20and%20Survival%20Analysis%20Springer%20Series%20in%20Statistics%209781441929181%20Medicine%20Health%20Science%20Books

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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 "too many variables to analyze and not enough observations," and powerful model validation techniques based on the bootstrap. This text realistically deals with model uncertainty and its effects on inference to achieve "safe data mining".
Frank E. Harrell Jr.,Regression Modeling Strategies With Applications to Linear Models, Logistic Regression, and Survival Analysis (Springer Series in Statistics),Springer New York,1441929185,Mathematics,Probabilities,Statistics,Analysis; Excel; Fitting; Resampling; Survival analysis; best fit; data analysis; data mining; modeling,Analysis;Excel;Fitting;Resampling;Survival analysis;best fit;data analysis;data mining;modeling,Biostatistics,C,COMPUTERS / Mathematical Statistical Software,Epidemiology medical statistics,MATHEMATICS / Probability Statistics / General,MEDICAL / Biostatistics,Mathematical statistical software,Mathematics and Statistics,Mathematik / Wahrscheinlichkeitstheorie, Stochastik, Mathematische Statistik,Medical/Biostatistics,Non-Fiction,Probability Statistics - General,Probability statistics,Probability Theory and Stochastic Processes,Science/Math,Science/Mathematics,Statistical Theory and Methods,Statistics and Computing/Statistics Programs,Statistics for Life Sciences, Medicine, Health Sciences,Stochastics,TEXT,United States,Biostatistics,COMPUTERS / Mathematical Statistical Software,MATHEMATICS / Probability Statistics / General,MEDICAL / Biostatistics,Medical/Biostatistics,Probability Statistics - General,Science/Mathematics,Epidemiology medical statistics,Mathematical statistical software,Stochastics,Probability statistics,Mathematik / Wahrscheinlichkeitstheorie, Stochastik, Mathematische Statistik

Regression Modeling Strategies With Applications to Linear Models Logistic Regression and Survival Analysis Springer Series in Statistics 9781441929181 Medicine Health Science Books Reviews :

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 "too many variables to analyze and not enough observations," and powerful model validation techniques based on the bootstrap. This text realistically deals with model uncertainty and its effects on inference to achieve "safe data mining".

Frank E. Harrell Jr.,Regression Modeling Strategies With Applications to Linear Models, Logistic Regression, and Survival Analysis (Springer Series in Statistics),Springer New York,1441929185,Mathematics,Probabilities,Statistics,Analysis; Excel; Fitting; Resampling; Survival analysis; best fit; data analysis; data mining; modeling,Analysis;Excel;Fitting;Resampling;Survival analysis;best fit;data analysis;data mining;modeling,Biostatistics,C,COMPUTERS / Mathematical Statistical Software,Epidemiology medical statistics,MATHEMATICS / Probability Statistics / General,MEDICAL / Biostatistics,Mathematical statistical software,Mathematics and Statistics,Mathematik / Wahrscheinlichkeitstheorie, Stochastik, Mathematische Statistik,Medical/Biostatistics,Non-Fiction,Probability Statistics - General,Probability statistics,Probability Theory and Stochastic Processes,Science/Math,Science/Mathematics,Statistical Theory and Methods,Statistics and Computing/Statistics Programs,Statistics for Life Sciences, Medicine, Health Sciences,Stochastics,TEXT,United States,Biostatistics,COMPUTERS / Mathematical Statistical Software,MATHEMATICS / Probability Statistics / General,MEDICAL / Biostatistics,Medical/Biostatistics,Probability Statistics - General,Science/Mathematics,Epidemiology medical statistics,Mathematical statistical software,Stochastics,Probability statistics,Mathematik / Wahrscheinlichkeitstheorie, Stochastik, Mathematische Statistik

Regression Modeling Strategies With Applications to Linear Models, Logistic Regression, and Survival Analysis (Springer Series in Statistics) 9781441929181 Medicine Health Science Books @

 

Product details Series Springer Series in Statistics Paperback 596 pages Publisher Springer New York (December 1, 2010) Language English ISBN-10 1441929185

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