Structural Biology, Biochemistry, and Biophysics BIOPHYSICAL CHARACTERIZATION OF NATURALLY OCCURING TITIN

SIMULATING DEPENDENT BINARY DATA WITH RANDOM EFFECTS. Aobo Wang, Roy T. Sabo, Department of Biostatistics, Virginia Commonwealth University, Richmond, Virginia 23298-0032. Dependent binary data can be simply simulated using the multinomial sampling method. We extend this method to simulate dependent binary data with clustered random effect structures. Several distributions are considered for constructing random effects among cluster-specific parameters and effect sizes, including the normal, uniform and beta distributions. We present results from simulation studies to show proof of concept for the multinomial sampling method in creating data sets of repeated-measure binary outcomes with clustered random effect structures in various scenarios. The simulation studies show that multinomial sampling method can be successfully adapted to simulate dependent binary data with desired random effect structures.