Explain markers of disease progression, Advanced Statistics

Markers of disease progression: Quantities which form a general monotonic series throughout the course of the disease and assist with its modelling. In uasual such quantities are highly prognostic in predicting and analysing the future course. An instance is CD4 cell count (cells per μl), which is usually accepted as best marker of the HIV disease progression. 

Posted Date: 7/30/2012 3:09:20 AM | Location : United States

Related Discussions:- Explain markers of disease progression, Assignment Help, Ask Question on Explain markers of disease progression, Get Answer, Expert's Help, Explain markers of disease progression Discussions

Write discussion on Explain markers of disease progression
Your posts are moderated
Related Questions

Chernoff's faces : A method or technique for representing the multivariate data graphically. Each observation is represented by the computer-created face, the features of which are

It is the diagram used to display the values graphically in a frequency distribution. The frequencies are graphed as an ordinate against the class mid-points as abscissae. The p

The number of employees absent from work at a large electronics manufacturing plant over aperiod of 106 days is given in the table below. 146 141 139 140 145 141 142 131 142 140

The method or technique for producing the sequence of parameter estimates that, under the mild regularity conditions, converges to maximum likelihood estimator. Of particular signi

A theorem which shows that any counting process may be uniquely decomposed as the sum of a martingale and a predictable, right-continous process called the compensator, assuming ce

The approach to statistics based on a frequency view of probability in which it is supposed that it is possible to consider an in?nite sequence of the independent repetitions of th

MAREG is the software package for the analysis of the marginal regression models. The package permits the application of generalized estimating equations and the maximum likelihoo