Regression Modeling Strategies

Name: Regression Modeling Strategies
Brand: Springer-Verlag New York Inc.
SKU: 9781441929181
Price: 2703 CZK
Availability: InStock

With Applications to Linear Models, Logistic Regression, and Survival Analysis

Autor: Frank E. Harrell

Jazyk:

Vazba: Brožovaná

Vydavatel: Springer-Verlag New York Inc.

Dostupnost: Skladem u dodavatele

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2 703 Kč

Many texts are excellent sources of knowledge about individual statistical tools, but the art of dat...

Informace o knize

Autor

Frank E. Harrell

Jazyk

Angličtina

Vazba

Kniha - Brožovaná

Vydáno

2010

Stránek

572

EAN

9781441929181

ISBN

1441929185

Enbook ID

01421659

Vydavatel

Springer-Verlag New York Inc.

Hmotnost

1006

Rozměry

177 x 234 x 32

Kompletní popis

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".There are many books that are excellent sources of knowledge about individual stastical tools (survival models, general linear models, etc.), but the art of data analysis is about choosing and using multiple tools. In the words of Chatfield "...students typically know the technical details of regressin for example, but not necessarily when and how to apply it. This argues the need for a better balance in the literature and in statistical teaching between techniques and problem solving strategies." Whether analyzing risk factors, adjusting for biases in observational studies, or developing predictive models, there are common problems that few regression texts address. For example, there are missing data in the majority of datasets one is likely to encounter (other than those used in textbooks!) but most regression texts do not include methods for dealing with such data effectively, and texts on missing data do not cover regression modeling.

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Regression Modeling Strategies

With Applications to Linear Models, Logistic Regression, and Survival Analysis

Informace o knize

Kompletní popis

Mohlo by vás zajímat

Zákaznicí kteří koupili tuto knihu koupili také