Published online by Cambridge University Press: 06 April 2009
The techniques of generalized linear modelling were applied to worm burdens of 2268 mice artificially infected with Schistosoma mansoni and treated with oxamniquine and/or praziquantel. Models which maximized the Poisson likelihood were shown to be superior to those assuming either a log Normal or negative binomial error structure. Use of the models to calculate and compare ED values of 8 strains of S. mansoni, detect abnormal dose response and synergism and to pool data from several experiments is illustrated.