Longitudinal Data Observed Over Unequal Time Intervals | Modeling Correlations In The Analysis Of Binary Outcomes Data

Soe Soe Thwin

ISBN 10: 3639110145 / ISBN 13: 9783639110142

Published by VDM Verlag Dr. Müller, 2008

About this Item

Longitudinal Data Observed Over Unequal Time Intervals | Modeling Correlations In The Analysis Of Binary Outcomes Data | Soe Soe Thwin | Taschenbuch | Kartoniert / Broschiert | Englisch | 2008 | VDM Verlag Dr. Müller | EAN 9783639110142 | Verantwortliche Person für die EU: OmniScriptum GmbH & Co. KG, Bahnhofstr. 28, 66111 Saarbrücken, info[at]akademikerverlag[dot]de | Anbieter: preigu.

Seller Inventory # 101682419

Bibliographic Details

• Title: Longitudinal Data Observed Over Unequal Time Intervals | Modeling Correlations In The Analysis Of Binary Outcomes Data
• Publisher: VDM Verlag Dr. Müller
• Publication Date: 2008
• Language: English
• ISBN 10: 3639110145
• ISBN 13: 9783639110142
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 220W x 150H x 13D millimeters 220 millimeters width by 150 millimeters height by 13 millimeters depth
• Weight: 351 grams
• Seller catalogs:
  • Bücher

About this title

Synopsis

This monograph extends previous work on the evaluation of GEE performance in parameter estimation with correlation structure misspecification. It examines a new structure to model the correlation between binary responses observed over unequal time intervals. The proposed unequal-time correlation structure accounts for unequal intervals by fixing the correlation coefficient and interval length between the first 2 observations and by adjusting the correlations for subsequent pairs by their relative interval length. To evaluate this structure, correlated binary responses under the logistic model were generated with the unequal time correlation structure for a full range of positive correlations and strength of association under different scenarios of number of measurements, sample size and prevalence of exposure. The model was evaluated when the working correlation structure was misspecified as exchangeable, 1st order autoregressive, unstructured, or when alternating logistic regression was employed.

About the Author

Soe Soe Thwin received her MS in Epidemiology from University of Washington and PhD in Biostatistics from Boston University, USA. She is currently a statistician at the Massachusetts Veterans Epidemiologic Research and Information Center and consults for Boston University School of Medicine.