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

Editore: VDM Verlag Dr. Müller, 2008

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nach der Bestellung gedruckt Neuware - Printed after ordering - 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.

Codice articolo 9783639110142

Dati bibliografici

• Titolo: Longitudinal Data Observed Over Unequal Time Intervals : Modeling Correlations In The Analysis Of Binary Outcomes Data
• Editore: VDM Verlag Dr. Müller
• Data di pubblicazione: 2008
• Lingua: Inglese
• ISBN 10: 3639110145
• ISBN 13: 9783639110142
• Rilegatura: Taschenbuch
• Condizione: Neu

Descrizione articolo

Riassunto

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.

L'autore

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.