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
Cluster sampling : A method or technique of sampling in which the members of the population are arranged in groups (called as 'clusters'). A number of clusters are selected at the

Two-phase sampling is the sampling scheme including two distinct phases, in the first of which the information about the particular variables of interest is collected on all the m

Bubble plot : A method or technique for displaying the observations which involve three variable values. Two of the variables are used to make a scatter diagram and values of the t

a psychic claims to be able to "feel colors" there are three pieces of colored paper(red, blue,green) he will place his hand on radomly selected pieces while blindfolded. you perfo

Pascal's triangle  is an arrangement of numbers described by Pascal in his Traité du Triangle Arithmétique published in the year 1665 as 'The number in each cell is equal to in the

Demographic data: Age: continuous variable Gender: categorical variable with males coded 1, females coded 2. Relationship status: categorical variable 1 to 5. Rational

Modern hotels and certain establishments make use of an electronic door lock system. To open a door an electronic card is inserted into a slot. A green light indicates that the doo

Conditional logistic regression : The form of logistic regression designed to work with the clustered data, such as data including matched pairs of the subjects, in which subject-s

The values assigned to factors for the individual sample units in a factor analysis. The most common approach is "regression method". When the factors are seen as the random variab

The probability distribution which is a linear function of the number of component probability distributions. This type of distributions is used to model the populations thought to