STATISTICAL PROBLEMS IN TOXICOLOGICAL EXMPERIMENTS

Statistical approaches to toxicological data.

Statistical techniques as applied to toxicological data are discussed. Issues concerning statistical hypothesis testing and combining studies are considered as well as design of experiments. The problems surrounding risk assessment are also mentioned.

Statistical evaluation of toxicological bioassays – a review

The basic conclusions in almost all reports on new drug applications and in all publications in toxicology are based on statistical methods. However, serious contradictions exist in practice: designs with small samples sizes but use of asymptotic methods (i.e. constructed for larger sample sizes), statistically significant findings without biological relevance (and vice versa), proof of hazard ...

[Drugs and alcohol as toxicological problems].

Statistical models for genetic susceptibility in toxicological and epidemiological investigations.

Models are presented for use in assessing genetic susceptibility to cancer (or other diseases) with animal or human data. Observations are assumed to be in the form of proportions, hence a binomial sampling distribution is considered. Generalized linear models are employed to model the response as a function of the genetic component; these include logistic and complementary log forms. Susceptib...

Impact of pharmacogenetics on toxicological studies. Statistical implications.

Genetic differences in response to chemicals are probably ubiquitous. The implications of such genetic differences for the design of toxicological experiments is reviewed. The inclusion of genetic differences as factors in factorial experimental designs is illustrated by an experiment to investigate differences between inbred strains of mice in the length of anaesthesia following the administra...