Upper confidence limits on excess risk for quantitative responses.
The definition and observation of clear-cut adverse health effects for continuous (quantitative) responses, such as altered body weights or organ weights, are difficult propositions. Thus, methods of risk assessment commonly used for binary (quantal) toxic responses such as cancer are not directly applicable. In this paper, two methods for calculating upper confidence limits on excess risk for quantitative toxic effects are proposed, based on a particular definition of an adverse quantitative response. The methods are illustrated with data from a dose-response study, and their performance is evaluated with a Monte Carlo simulation study.
Kodell
R L
RL
National Center for Toxicological Research, Jefferson, Arkansas 72079.
West
R W
RW
D000818:Animals; D004305:Dose-Response Relationship, Drug; D005260:Female; D015386:Hazardous Substances / Q000008:administration & dosage / Q000009:adverse effects*; D006801:Humans; D007538:Isoniazid / Q000008:administration & dosage / Q000031:analogs & derivatives / Q000633:toxicity; D015233:Models, Statistical; D009010:Monte Carlo Method; D011336:Probability; D051381:Rats; D011916:Rats, Inbred F344; D012307:Risk Factors; D015431:Weight Loss / Q000187:drug effects
D015386:Hazardous Substances; C028354:aconiazide; D007538:Isoniazid