Multilevel Logistic Regression Analysis of Contraceptive Binary Data: Basics, Applications, Interpretations - Tapa blanda

Rahaman Khan, Hasinur

9783639180466: Multilevel Logistic Regression Analysis of Contraceptive Binary Data: Basics, Applications, Interpretations

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ISBN 10: 3639180461 ISBN 13: 9783639180466

Editorial: VDM Verlag Dr. M�ller, 2010

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In Public Health, Social Science and Demography, large-scale surveys often follow a hierarchical structure of data as the surveys are based on multistage stratified cluster sampling. The appropriate way to analyzing such survey data is therefore based on nested sources of variability which come from different levels of hierarchy. Many researchers do not take into account these nested sources of variability for such multistage stratified cluster sampling dataset. Using the 2004 Bangladesh Demographic and Health Survey contraceptive binary data this work is designed to assist in all aspects of working with multilevel logistic regression models, including model conceptualization, model description, understanding of the structure of required multilevel data, estimation of the model via the statistical package MLwiN, and interpretation of the results. The used MLwiN and SPSS code have been given in the appendix. The data analysis of this work also ensures helping other analysts who work with other softwares and programmings. The analysis should be useful to professionals, MSc or PhD students working especially in the fields of Social Sciences, Demography, Public Health and Statistics.

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EditorialVDM Verlag Dr. M�ller
A�o de publicaci�n2010
ISBN 10 3639180461
ISBN 13 9783639180466
Encuadernaci�nTapa blanda
IdiomaIngl�s
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Multilevel Logistic Regression Analysis of Contraceptive Binary Data Basics, Applications, Interpretations

Rahaman Khan, Hasinur

Publicado por VDM Verlag Dr. M�ller, 2010

ISBN 10: 3639180461 ISBN 13: 9783639180466

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Multilevel Logistic Regression Analysis of Contraceptive Binary Data: Basics, Applications, Interpretations

Rahaman Khan, Hasinur

Publicado por VDM Verlag Dr. M�ller, 2010

ISBN 10: 3639180461 ISBN 13: 9783639180466

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Multilevel Logistic Regression Analysis of Contraceptive Binary Data Basics, Applications, Interpretations

Rahaman Khan, Hasinur

Publicado por VDM Verlag Dr. M�ller, 2010

ISBN 10: 3639180461 ISBN 13: 9783639180466

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Multilevel Logistic Regression Analysis of Contraceptive Binary Data: Basics, Applications, Interpretations

Rahaman Khan, Hasinur

Publicado por VDM Verlag Dr. M�ller, 2010

ISBN 10: 3639180461 ISBN 13: 9783639180466

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Multilevel Logistic Regression Analysis of Contraceptive Binary Data

Hasinur Rahaman Khan

Publicado por VDM Verlag Dr. M�ller, 2010

ISBN 10: 3639180461 ISBN 13: 9783639180466

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Kartoniert / Broschiert. Condici�n: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Rahaman Khan HasinurHe is a lecturer in Applied Statistics, ISRT, University of Dhaka, Bangladesh. Currently he is doing PhD in Statistics at Warwick University, UK. His research mainly focuses on the areas of Bayesian Statistics, Bi. N� de ref. del art�culo: 4964703

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Multilevel Logistic Regression Analysis of Contraceptive Binary Data : Basics, Applications, Interpretations

Hasinur Rahaman Khan

Publicado por VDM Verlag Dr. M�ller, 2010

ISBN 10: 3639180461 ISBN 13: 9783639180466

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Taschenbuch. Condici�n: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - In Public Health, Social Science and Demography, large-scale surveys often follow a hierarchical structure of data as the surveys are based on multistage stratified cluster sampling. The appropriate way to analyzing such survey data is therefore based on nested sources of variability which come from different levels of hierarchy. Many researchers do not take into account these nested sources of variability for such multistage stratified cluster sampling dataset. Using the 2004 Bangladesh Demographic and Health Survey contraceptive binary data this work is designed to assist in all aspects of working with multilevel logistic regression models, including model conceptualization, model description, understanding of the structure of required multilevel data, estimation of the model via the statistical package MLwiN, and interpretation of the results. The used MLwiN and SPSS code have been given in the appendix. The data analysis of this work also ensures helping other analysts who work with other softwares and programmings. The analysis should be useful to professionals, MSc or PhD students working especially in the fields of Social Sciences, Demography, Public Health and Statistics. N� de ref. del art�culo: 9783639180466

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