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Last modified on June 15, 2010 Fundamental principles of statisticsIf the null hypothesis is rejected incorrectly, this is a type I (a ) error. Sensitivity = a high % of true + (and a low % of false -). Using diagnostic tests in parallel sacrifices specificity at the expense of sensitivity. It is used when the greatest penalty would come from missing a true case.{4584} Specificity = a low % of false + (and a high % of true -). Using one or more diagnostic tests in series increases specificity at the expense of sensitivity, and may be appropriate for conditions in which the penalty of false-positive results is high (i.e. declaring a person to be HIV positive).{4584} Positive predictive value = (true pos)/(true pos + false pos) x 100{4020}; probability that each of the individuals with positive test results actually has the disease. It is greatly influenced by test specificity.{4584} Negative predictive value = (true neg)/(true neg + false neg) x 100{4020}; probability that they don't have the disease. It is greatly influenced by test sensitivity.{4584} Power AnalysisThis is a common method for determining sample size, and is generally appropriate for relatively simple experiments which are likely to be repeated several times over, with slight differences in treatment. The method utilizes the relationship among the following 6 factors:
Types of epidemiologic study designs
Criteria used to evaluate causation of a disease
These were proposed by Hill in 1965 and have been modified since then by others.{4584} Therapeutic IndexThe margin of safety of a drug is the dosage range between that producing a lethal effect in 50% of the population (LD50) and that producing the median effective dose (ED50) in 50% of the population. The ratio of LD50/ED50 is called the therapeutic index. {2725} |
©1999, Janet Becker Rodgers, DVM, MS All rights reserved. Comments? Send an email to rodgers@uky.edu |