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The NONMEM Project at the University of California, San Francisco, is concerned with the development of data analysis techniques and exportable software for fitting nonlinear mixed effects (statistical regression-type) models. These techniques are particularly useful when the data are population pharmacokinetic/pharmacodynamic data, and when there are only a few PK/PD measurements from some individuals sampled from the population, or when the regression design varies considerably between individuals. However, increasingly, the techniques are also being used advantageously with better-designed experimental type data.

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