ODMixed: A tool to obtain optimal designs for heterogeneous longitudinal studies with dropout

Authors:
Shirley Ortega;Frans E. S. Tan;Martijn P. F. Berger
Affiliations:
University of Maastricht, Department of Methodology and Statistics, P.O. Box 616, 6200 MD Maastricht, The Netherlands;University of Maastricht, Department of Methodology and Statistics, P.O. Box 616, 6200 MD Maastricht, The Netherlands;University of Maastricht, Department of Methodology and Statistics, P.O. Box 616, 6200 MD Maastricht, The Netherlands
Venue:
Computer Methods and Programs in Biomedicine
Year:
2011

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Abstract

ODMixed is a computer program to obtain optimal designs for linear mixed models of longitudinal studies. These designs account for heterogeneous correlated errors and for data with dropout. Designs are compared by using relative efficiencies, e.g., between a D-optimal design for homogeneous data and another for heterogeneous data or between a D-optimal design for complete data against another that optimizes designs when data is missing at random. Two examples are worked out to illustrate how researchers could use this computer program to profit of optimal design theory at the planning stage of longitudinal studies.