Statistical Interpretation of Toxicity Data

Many of the topics discussed in this chapter pertain to experimental data in general, but the context of their use and examples given are in the field of toxicology. The discussion focuses on the statistical interpretation of data rather than on the statistical procedures used in the data analysis. For an extensive discussion of the statistical analysis of biological data, the reader may refer to a multitude of books and articles.

[1]  P. Lee,et al.  Weibull distributions for continuous-carcinogenesis experiments. , 1973, Biometrics.

[2]  J Wahrendorf,et al.  Guidelines for simple, sensitive significance tests for carcinogenic effects in long-term animal experiments. , 1980, IARC monographs on the evaluation of the carcinogenic risk of chemicals to humans. Supplement.

[3]  E. Kaplan,et al.  Nonparametric Estimation from Incomplete Observations , 1958 .

[4]  William G. Cochran,et al.  Experimental designs, 2nd ed. , 1957 .

[5]  Williams Da,et al.  A test for differences between treatment means when several dose levels are compared with a zero dose control. , 1971 .

[6]  R. Peto Carcinogenic effects of chronic exposure to very low levels of toxic substances. , 1978, Environmental health perspectives.

[7]  Williams Da,et al.  The comparison of several dose levels with a zero dose control. , 1972 .

[8]  Gaylor Dw,et al.  Linear interpolation algorithm for low dose risk assessment of toxic substances. , 1980 .

[9]  T. Fears,et al.  False-positive and false-negative rates for carcinogenicity screens. , 1977, Cancer research.

[10]  T. J. Mitchell,et al.  Log-linear models in the analysis of disease prevalence data from survival/sacrifice experiments. , 1979, Biometrics.

[11]  T. J. Mitchell,et al.  Exploratory analysis of disease prevalence data from survival/sacrifice experiments. , 1978, Biometrics.

[12]  D G Hoel,et al.  Statistical analysis of survival experiments. , 1972, Journal of the National Cancer Institute.

[13]  D G Hoel,et al.  Fundamental carcinogenic processes and their implications for low dose risk assessment. , 1976, Cancer research.

[14]  R L Kodell,et al.  Nonparametric joint estimators for disease resistance and survival functions in survival/sacrifice experiments. , 1982, Biometrics.

[15]  Rupert G. Miller Simultaneous Statistical Inference , 1966 .

[16]  H. Guess,et al.  Uncertainty estimates for low-dose-rate extrapolations of animal carcinogenicity data. , 1977, Cancer research.

[17]  R. Albert,et al.  Considerations relating to the formulation of limits for unavoidable population exposures to environmental carcinogens , 1972 .

[18]  William G. Cochran,et al.  Experimental Designs, 2nd Edition , 1950 .