Articoli correlati a Analysis: Odds Ratio Estimation, Modelling Strategies,...
Analysis: Odds Ratio Estimation, Modelling Strategies, Deletion Diagnostics and Graphical Diagnostic Methods for Multiple Response Data - Brossura
Sinossi
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.
Le informazioni nella sezione "Riassunto" possono far riferimento a edizioni diverse di questo titolo.
Informazioni sull?autore
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.
Le informazioni nella sezione "Su questo libro" possono far riferimento a edizioni diverse di questo titolo.
Compra nuovo
Visualizza questo articolo
EUR 79,00
EUR 23,00 per la spedizione da Germania a U.S.A.
Destinazione, tempi e costiRisultati della ricerca per Analysis: Odds Ratio Estimation, Modelling Strategies,...
Immagini fornite dal venditore
Analysis & Diagnostics of Categorical Variables with Multiple Outcomes
Editore:
LAP LAMBERT Academic Publishing Mai 2010, 2010
ISBN 10: 3838310675
ISBN 13: 9783838310671
Nuovo
Taschenbuch
Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
Valutazione del venditore 5 su 5 stelle
Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - 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. 224 pp. Englisch. Codice articolo 9783838310671
Quantità: 2 disponibili
Immagini fornite dal venditore
Analysis
Editore:
LAP LAMBERT Academic Publishing, 2010
ISBN 10: 3838310675
ISBN 13: 9783838310671
Nuovo
Brossura
Da: moluna, Greven, Germania
Valutazione del venditore 4 su 5 stelle
Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Suesse ThomasIn 2009, Thomas Suesse received his PhD degree in statistics from theVictoria University of Wellington, New Zealand.Recently he joined the University of Wollongong, Australia, as a research fellow. His main research intere. Codice articolo 5411773
Quantità: Più di 20 disponibili
Foto dell'editore
Analysis
Editore:
VDM Verlag Dr. Mueller Aktiengesellschaft & Co. KG, 2010
ISBN 10: 3838310675
ISBN 13: 9783838310671
Nuovo
Brossura
Da: Books Puddle, New York, NY, U.S.A.
Valutazione del venditore 4 su 5 stelle
Condizione: New. pp. 224. Codice articolo 26128804611
Quantità: 4 disponibili
Foto dell'editore
Analysis
Editore:
VDM Verlag Dr. Mueller Aktiengesellschaft & Co. KG, 2010
ISBN 10: 3838310675
ISBN 13: 9783838310671
Nuovo
Brossura
Da: Majestic Books, Hounslow, Regno Unito
Valutazione del venditore 5 su 5 stelle
Condizione: New. Print on Demand pp. 224 2:B&W 6 x 9 in or 229 x 152 mm Perfect Bound on Creme w/Gloss Lam. Codice articolo 131782876
Quantità: 4 disponibili
Foto dell'editore
Analysis
Editore:
VDM Verlag Dr. Mueller Aktiengesellschaft & Co. KG, 2010
ISBN 10: 3838310675
ISBN 13: 9783838310671
Nuovo
Brossura
Da: Biblios, Frankfurt am main, HESSE, Germania
Valutazione del venditore 5 su 5 stelle
Condizione: New. PRINT ON DEMAND pp. 224. Codice articolo 18128804617
Quantità: 4 disponibili
Immagini fornite dal venditore
Analysis & Diagnostics of Categorical Variables with Multiple Outcomes
Editore:
LAP LAMBERT Academic Publishing Mai 2010, 2010
ISBN 10: 3838310675
ISBN 13: 9783838310671
Nuovo
Taschenbuch
Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germania
Valutazione del venditore 5 su 5 stelle
Taschenbuch. Condizione: Neu. 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.Books on Demand GmbH, Überseering 33, 22297 Hamburg 224 pp. Englisch. Codice articolo 9783838310671
Quantità: 1 disponibili
Immagini fornite dal venditore
Analysis & Diagnostics of Categorical Variables with Multiple Outcomes : Odds Ratio Estimation, Modelling Strategies, Deletion Diagnostics and Graphical Diagnostic Methods for Multiple Response Data
Editore:
LAP LAMBERT Academic Publishing, 2010
ISBN 10: 3838310675
ISBN 13: 9783838310671
Nuovo
Taschenbuch
Da: AHA-BUCH GmbH, Einbeck, Germania
Valutazione del venditore 5 su 5 stelle
Taschenbuch. Condizione: Neu. 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. Codice articolo 9783838310671
Quantità: 1 disponibili
Foto dell'editore
Analysis: Odds Ratio Estimation, Modelling Strategies, Deletion Diagnostics and Graphical Diagnostic Methods for Multiple Response Data
Editore:
LAP LAMBERT Academic Publishing, 2010
ISBN 10: 3838310675
ISBN 13: 9783838310671
Antico o usato
paperback
Da: Mispah books, Redhill, SURRE, Regno Unito
Valutazione del venditore 4 su 5 stelle
paperback. Condizione: Like New. Like New. book. Codice articolo ERICA80038383106756
Quantità: 1 disponibili