عنوان
پدید آورنده
موضوع
رده
کتابخانه
محل استقرار
INTERNATIONAL STANDARD BOOK NUMBER
(Number (ISBN
9781441929181
(Number (ISBN
9781475734621
NATIONAL BIBLIOGRAPHY NUMBER
Number
dltt
TITLE AND STATEMENT OF RESPONSIBILITY
Title Proper
Regression Modeling Strategies
General Material Designation
[Book]
Other Title Information
With Applications to Linear Models, Logistic Regression, and Survival Analysis /
First Statement of Responsibility
by Frank E. Harrell.
.PUBLICATION, DISTRIBUTION, ETC
Place of Publication, Distribution, etc.
New York, NY :
Name of Publisher, Distributor, etc.
Imprint: Springer,
Date of Publication, Distribution, etc.
2001.
SERIES
Series Title
Springer Series in Statistics,
ISSN of Series
0172-7397
CONTENTS NOTE
Text of Note
1 Introduction -- 2 General Aspects of Fitting Regression Models -- 3 Missing Data -- 4 Multivariable Modeling Strategies -- 5 Resampling, Validating, Describing, and Simplifying the Model -- 6 S-Plus Software -- 7 Case Study in Least Squares Fitting and Interpretation of a Linear Model -- 8 Case Study in Imputation and Data Reduction -- 9 Overview of Maximum Likelihood Estimation -- 10 Binary Logistic Regression -- 11 Logistic Model Case Study 1: Predicting Cause of Death -- 12 Logistic Model Case Study 2: Survival of Titanic Passengers -- 13 Ordinal Logistic Regression -- 14 Case Study in Ordinal Regression, Data Reduction, and Penalization -- 15 Models Using Nonparametric Transformations of X and Y -- 16 Introduction to Survival Analysis -- 17 Parametric Survival Models -- 18 Case Study in Parametric Survival Modeling and Model Approximation -- 19 Cox Proportional Hazards Regression Model -- 20 Case Study in Cox Regression.
0
SUMMARY OR ABSTRACT
Text of 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 "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".
OTHER EDITION IN ANOTHER MEDIUM
International Standard Book Number
9781441929181
PIECE
Title
Springer eBooks
TOPICAL NAME USED AS SUBJECT
Mathematical statistics.
Statistics.
PERSONAL NAME - PRIMARY RESPONSIBILITY
Harrell, Frank E.
CORPORATE BODY NAME - ALTERNATIVE RESPONSIBILITY
SpringerLink (Online service)
ORIGINATING SOURCE
Date of Transaction
20190307161500.0
ELECTRONIC LOCATION AND ACCESS
Electronic name
مطالعه متن کتاب [Book]
Y
