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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.
The type of longitudinal study in which the subjects receive different treatments on the various occasions. Random allocation is required to determine the order in which the treatm
what are tests for residual with nonconstant variance in regression diagnostic checking?
MEANING ,IMPORTANCE AND RELEAVANCE OF SCATTER DIAGRAM
methods of determining trend in time series?
Hazard function : The risk which an individual experiences an event in a small time interval, given that the individual has survived up to the starting of the interval. It is th
The scatter plots of SRES1, RESI1 versus totexp demonstrates that there is non-linear relationship that exists as most of the points are below and above zero. The scatter plots sho
The studies conducted in the pharmaceutical industry to calculate the degradation of the new drug product or an old drug formulated or packaged in the new manner. The main study ob
#how to analyse data
Hello, I have a solution for a Survey Design (proposal) assignment and looking for an expert that can look at it and correct it in case if it is wrong. Do you have this kind of ser
how does it work exactly
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