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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.
Particlefilters is a simulation method for tracking moving target distributions and for reducing computational burden of the dynamic Bayesian analysis. The method uses a Markov ch
Hi , Im currently taking the course Financial Econometrics of Master of Finance at RMIT. I find it really difficult to understand the course''s material and now im having the majo
Minimum volume ellipsoid is a term for ellipsoid of the minimum volume which covers some specified proportion of the set of multivariate data. It is commonly used to construct rob
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Per-experiment error rate is the possibility of the incorrectly rejecting at least one null hypothesis or assumption in the experiment including one or more tests or comparisons,
Zero-inflated Poisson regression is the model for count data with the excess zeros. It supposes that with probability p the only possible observation is 0 and with the probabilit
The non-trivial extraction of implicit, earlier unknown and potentially useful information from data, specifically high-dimensional data, using pattern recognition, artificial inte
regression line drawn as Y=C+1075x, when x was 2, and y was 239, given that y intercept was 11. calculate the residual
how to find the PDF and CDF of a gamma random variable with given equation?
Why Graph theory? It is the branch of mathematics concerned with the properties of sets of points (vertices or nodes) some of which are connected by the lines known as the edges. A
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