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Logistische Regression: Ein selbstlernender Text von David G. Kleinbaum: gebraucht-
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eBay-Artikelnr.:403997233341
Artikelmerkmale
- Artikelzustand
- Book Title
- Logistic Regression: A Self-Learning Text
- Publication Date
- 2010-07-01
- Edition Number
- 3
- Pages
- 702
- ISBN
- 9781441917416
- Subject Area
- Mathematics, Social Science, Medical
- Publication Name
- Logistic Regression : a Self-Learning Text
- Publisher
- Springer New York
- Item Length
- 10 in
- Subject
- Biostatistics, Probability & Statistics / Regression Analysis, Research, Epidemiology, Statistics
- Publication Year
- 2010
- Series
- Statistics for Biology and Health Ser.
- Type
- Textbook
- Format
- Hardcover
- Language
- English
- Item Weight
- 113.2 Oz
- Item Width
- 7 in
- Number of Pages
- Xvii, 702 Pages
Über dieses Produkt
Product Identifiers
Publisher
Springer New York
ISBN-10
1441917411
ISBN-13
9781441917416
eBay Product ID (ePID)
111220464
Product Key Features
Number of Pages
Xvii, 702 Pages
Language
English
Publication Name
Logistic Regression : a Self-Learning Text
Publication Year
2010
Subject
Biostatistics, Probability & Statistics / Regression Analysis, Research, Epidemiology, Statistics
Type
Textbook
Subject Area
Mathematics, Social Science, Medical
Series
Statistics for Biology and Health Ser.
Format
Hardcover
Dimensions
Item Weight
113.2 Oz
Item Length
10 in
Item Width
7 in
Additional Product Features
Edition Number
3
Intended Audience
Scholarly & Professional
Reviews
From the reviews of the third edition:The third edition of this book continues the tradition of the authors of a two-column book that really does act as a self-learning text. The left-hand column is like a collection of PowerPoint slides, including generic-style computer output and diagrams to visualize the relationship between concepts. Each chapter contains about 10 exercises, some routine calculation and some asking for explanation of particular points. Answers are provided immediately. … The reference list includes about 40 items and has been updated to include publications up to 2008. (Alice Richardson, International Statistical Review, Vol. 79 (2), 2011), From the reviews of the third edition: "The third edition of this book continues the tradition of the authors of a two-column book that really does act as a self-learning text. The left-hand column is like a collection of PowerPoint slides, including generic-style computer output and diagrams to visualize the relationship between concepts. Each chapter contains about 10 exercises, some routine calculation and some asking for explanation of particular points. Answers are provided immediately. ... The reference list includes about 40 items and has been updated to include publications up to 2008." (Alice Richardson, International Statistical Review, Vol. 79 (2), 2011)
Dewey Edition
21
Number of Volumes
1 vol.
Illustrated
Yes
Dewey Decimal
610/.7/27
Table Of Content
to Logistic Regression.- Important Special Cases of the Logistic Model.- Computing the Odds Ratio in Logistic Regression.- Maximum Likelihood Techniques: An Overview.- Statistical Inferences Using Maximum Likelihood Techniques.- Modeling Strategy Guidelines.- Modeling Strategy for Assessing Interaction and Confounding.- Additional Modeling Strategy Issues.- Assessing Goodness of Fit for Logistic Regression.- Assessing Discriminatory Performance of a Binary Logistic Model: ROC Curves.- Analysis of Matched Data Using Logistic Regression.- Polytomous Logistic Regression.- Ordinal Logistic Regression.- Logistic Regression for Correlated Data: GEE.- GEE Examples.- Other Approaches for Analysis of Correlated Data.
Synopsis
This highly readable book describes fundamental and advanced concepts and methods of logistic regression. The 3rd edition includes three new chapters, an updated computer appendix, and an expanded section on modeling guidelines that consider causal diagrams., This is the third edition of this text on logistic regression methods, originally published in 1994, with its second e- tion published in 2002. As in the first two editions, each chapter contains a pres- tation of its topic in "lecture'book" format together with objectives, an outline, key formulae, practice exercises, and a test. The "lecture book" has a sequence of illust- tions, formulae, or summary statements in the left column of each page and a script (i. e., text) in the right column. This format allows you to read the script in conjunction with the illustrations and formulae that highlight the main points, formulae, or examples being presented. This third edition has expanded the second edition by adding three new chapters and a modified computer appendix. We have also expanded our overview of mod- ing strategy guidelines in Chap. 6 to consider causal d- grams. The three new chapters are as follows: Chapter 8: Additional Modeling Strategy Issues Chapter 9: Assessing Goodness of Fit for Logistic Regression Chapter 10: Assessing Discriminatory Performance of a Binary Logistic Model: ROC Curves In adding these three chapters, we have moved Chaps. 8 through 13 from the second edition to follow the new chapters, so that these previous chapters have been ren- bered as Chaps. 11-16 in this third edition., This is the third edition of this text on logistic regression methods, originally published in 1994, with its second e- tion published in 2002. As in the first two editions, each chapter contains a pres- tation of its topic in "lecture'book" format together with objectives, an outline, key formulae, practice exercises, and a test. The "lecture book" has a sequence of illust- tions, formulae, or summary statements in the left column of each page and a script (i. e. , text) in the right column. This format allows you to read the script in conjunction with the illustrations and formulae that highlight the main points, formulae, or examples being presented. This third edition has expanded the second edition by adding three new chapters and a modified computer appendix. We have also expanded our overview of mod- ing strategy guidelines in Chap. 6 to consider causal d- grams. The three new chapters are as follows: Chapter 8: Additional Modeling Strategy Issues Chapter 9: Assessing Goodness of Fit for Logistic Regression Chapter 10: Assessing Discriminatory Performance of a Binary Logistic Model: ROC Curves In adding these three chapters, we have moved Chaps. 8 through 13 from the second edition to follow the new chapters, so that these previous chapters have been ren- bered as Chaps. 11-16 in this third edition., This is the third edition of this text on logistic regression methods, originally published in 1994, with its second e- tion published in 2002. As in the first two editions, each chapter contains a pres- tation of its topic in "lecture?book" format together with objectives, an outline, key formulae, practice exercises, and a test. The "lecture book" has a sequence of illust- tions, formulae, or summary statements in the left column of each page and a script (i. e., text) in the right column. This format allows you to read the script in conjunction with the illustrations and formulae that highlight the main points, formulae, or examples being presented. This third edition has expanded the second edition by adding three new chapters and a modified computer appendix. We have also expanded our overview of mod- ing strategy guidelines in Chap. 6 to consider causal d- grams. The three new chapters are as follows: Chapter 8: Additional Modeling Strategy Issues Chapter 9: Assessing Goodness of Fit for Logistic Regression Chapter 10: Assessing Discriminatory Performance of a Binary Logistic Model: ROC Curves In adding these three chapters, we have moved Chaps. 8 through 13 from the second edition to follow the new chapters, so that these previous chapters have been ren- bered as Chaps. 11-16 in this third edition.
LC Classification Number
QH323.5
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