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Nonlinear Mixed Effects Models, a Tool for …
Nonlinear Mixed Effects Models, a tool for analyzing repeated MeasurementsA Brief Tutorial Using SAS Software Peter Gaccione, Harvard School of Public Health, Boston, Blanchard, Frontier Science & Technology Research Foundation, Inc. Chestnut Hill, MAAbstractThe exponential increase in computing powerhas led analysts to consider statistical techniques which until recently were not evenconceived of. One area of exciting work is theuse of Nonlinear models to explain biologicallyderived data, particularly with the inclusion ofrandom, individual Effects . Programs foranalyzing Nonlinear Mixed Effects models arenow becoming more prevalent and available tothe general user, and for more general uses. This paper will outline this methodology, anddescribe an application using SAS Institute slatest contribution to the field, the NLINMIX macro.
Nonlinear Mixed Effects Models, a Tool for Analyzing Repeated Measurements A Brief Tutorial Using SAS Software® Peter Gaccione, …
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