Nonlinear statistical models for the joint action of toxins.

  title={Nonlinear statistical models for the joint action of toxins.},
  author={Curtis N Barton and R C Braunberg and Lynn Friedman},
  volume={49 1},
A general approach using nonlinear regression models is presented for evaluating additivity, synergism, and antagonism of mixtures of toxins for proportions and ratio-scale response measures. This approach provides several advantages over the analysis methods typically used, which involve linear regression with logits or probits. A single model fit is performed, rather than a multistep procedure. Nonadditive alternative models can be easily constructed and tested against the appropriate… CONTINUE READING
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