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Quality-adjusted survival analysis is a method for evaluating the effects of treatment on survival which allows the consideration of quality of life as well as the quantity of life. For instance, a highly toxic treatment with number of side effects might delay disease recurrence and increase the survival relative to a less toxic treatment. In this type of situation, the trade-off between negative quality-of-life impact and positive quantity-of-life impact of the more toxic therapy should be evaluated when determining which treatment is most probable to advantage a patient. The method precedes by defining the quality function which assigns a 'score' to the patient which is a composite measure of quality and quantity of life both. In common the quality function assigns a small value to the short life with poor quality and high value to the long life with good quality. The assigned scores are then taken in use to calculate quality- adjusted survival times for the analysis.
Knox's tests: These tests designed to detect any tendency for the patients with a particular disease to form the disease cluster in time and space. The tests are relied on a two-b
regression line drawn as Y=C+1075x, when x was 2, and y was 239, given that y intercept was 11. calculate the residual
Lorenz curve : Essentially the graphical representation of cumulative distribution of the variable, most often used for the income. If the risks of disease are not monotonically in
Codominance : The relationship between genotype at the locus and a phenotype to which it in?uences. If an individuals with heterozygote (such as, AB) genotype is phenotypically dif
Multicentre study : The clinical trial conducted simultaneously in the number of participating hospitals, with all centres following an agreed-upon study of the protocol and with
Historical controls : The group of patients treated in the past with the standard therapy, taken in use as the control group for evaluating the new treatment on the present patient
Probability weighting is the procedure of attaching weights equal to inverse of the probability of being selected, to each respondent's record in the sample survey. These weights
The graphic representation of the alternatives in a decision making problem which summarizes all the possibilities foreseen by the decision maker. For instance, suppose we are give
I need a statistics project done. How much will it cost?
Clinical vs. statistical significance : The distinction among results in terms of their possible clinical importance rather than simply in terms of their statistical importance. Wi
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