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Statistical considerations in the interpretation of negative carcinogenicity data

Regulatory Toxicology and Pharmacology, 1989
The regulation of toxic substances present in the environment requires that carcinogens be distinguished from noncarcinogens on the strength of the available toxicological and epidemiological evidence for carcinogenicity. In this article, we consider the difficulties associated with establishing strong evidence against carcinogenicity.
D, Krewski, M J, Goddard, D, Murdoch
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Statistical Interpretation of Toxicity Data

1987
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.
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Simplified Methods for Statistical Interpretation of Monitoring Data

Journal of the Air Pollution Control Association, 1972
Statistical techniques are useful for interpretation of monitoring data for pollutants, process variables, etc. Simplified nomographical methods are presented for relating numbers of samples to confidence intervals for their mean values, and for determining the proportion of the population exceeding a specified concentration and confidence intervals ...
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Interpretation of research data: Selected statistical procedures

American Journal of Health-System Pharmacy, 1980
Selected statistical procedures used in the analysis of research data are presented. The relationship of significance testing to research hypotheses is explained in terms of tests of differences and correlation. Also, the differences, assumptions, and advantages and disadvantages of parametric and nonparametric statistics are discussed.
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Statistical Interpretation of Data

2012
Thomas B. Newman, Charles E. Mcculloch
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