Analysis & Diagnostics of Categorical Variables with Multiple Outcomes

Published by LAP LAMBERT Academic Publishing Mai 2010, 2010

3838310675 / 9783838310671

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This item is printed on demand - Print on Demand Titel. Neuware -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.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 224 pp. Englisch.

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Title
Analysis & Diagnostics of Categorical Variables with Multiple Outcomes
Author
Thomas Suesse
Publisher
LAP LAMBERT Academic Publishing Mai 2010
Publication year
2010
Condition
Neu
Binding
Taschenbuch
ISBN 10
3838310675
ISBN 13
9783838310671
Item weight
352 grams
Dimensions
220x150x15 mm

buchversandmimpf2000

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