Analysis & Diagnostics of Categorical Variables with Multiple Outcomes : Odds Ratio Estimation, Modelling Strategies, Deletion Diagnostics and Graphical Diagnostic Methods for Multiple Response Data
Language: English
Published by LAP LAMBERT Academic Publishing, 2010
- Softcover
- New
Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
AbeBooks seller since August 14, 2006
Condition: New
£ 69.78
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Add to basketItem description from seller
nach der Bestellung gedruckt Neuware - Printed after ordering - Surveys often contain qualitative variables for which respondents may select any number of the outcome categories. For instance, for the question 'What type of contraceptive have you used ' with possible responses (oral, condom, lubricated condom, spermicide, and diaphragm), respondents would be instructed to select as many of the J = 5 outcomes as apply. This situation is known as multiple responses and outcomes are referred to as items. This thesis discusses several approaches to analysing such data. First, for stratified multiple response data, we consider three ways of defining the common odds ratio a summarising measure for the conditional association between a row variable and the multiple response variable, given a stratification variable. We derive several new dually consistent log-odds ratio and (co)variance estimators. Next we focus on deletion diagnostics for multiple response data models, e.g. logistic regression, and compare deletion strategies. Then modelling strategies for repeated multiple response data are investigated. Last, we consider a graphical diagnostic method to detect a mis-specification of a covariate of the proportional odds model.…
Seller Inventory # 9783838310671
- Title
- Analysis & Diagnostics of Categorical Variables with Multiple Outcomes : Odds Ratio Estimation, Modelling Strategies, Deletion Diagnostics and Graphical Diagnostic Methods for Multiple Response Data
- Author
- Thomas Suesse
- Publisher
- LAP LAMBERT Academic Publishing
- Publication year
- 2010
- Condition
- Neu
- Binding
- Taschenbuch
- Language
- English
- ISBN 10
- 3838310675
- ISBN 13
- 9783838310671
- Item weight
- 352 grams
- Dimensions
- 220x150x14 mm
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