Analysis: Odds Ratio Estimation, Modelling Strategies, Deletion Diagnostics and Graphical Diagnostic Methods for Multiple Response Data - Softcover

Suesse, Thomas

 
9783838310671: Analysis: Odds Ratio Estimation, Modelling Strategies, Deletion Diagnostics and Graphical Diagnostic Methods for Multiple Response Data
Softcover
ISBN 10: 3838310675 ISBN 13: 9783838310671
Verlag: LAP LAMBERT Academic Publishing, 2010

Inhaltsangabe

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.

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Über die Autorin bzw. den Autor

In 2009, Thomas Süße received his PhD degree in statistics from the Victoria University of Wellington, New Zealand. Recently he joined the University of Wollongong, Australia, as a research fellow. His main research interests are categorical data analysis, repeated measurements, survey methodology, and their applications in medical science.

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Verlag
LAP LAMBERT Academic Publishing
Erscheinungsdatum
2010
Sprache
Englisch
ISBN 10 
3838310675
ISBN 13 
9783838310671
Einband
Taschenbuch
Anzahl der Seiten
224
Kontakt zum Hersteller
Nicht verfügbar
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