Back-projection, Advanced Statistics

Back-projection: A term most often applied to the procedure for reconstructing plausible HIV incidence curves from the AIDS incidence data. The method or technique assumes that the probability distribution of the incubation time period of AIDS has been estimated accurately from separate cohort studies and uses this distribution to project AIDS incidence data backwards to reconstruct the HIV epidemic curve which could plausibly have led to observed AIDS incidence data.

Posted Date: 7/26/2012 5:54:59 AM | Location : United States







Related Discussions:- Back-projection, Assignment Help, Ask Question on Back-projection, Get Answer, Expert's Help, Back-projection Discussions

Write discussion on Back-projection
Your posts are moderated
Related Questions
Correlation matrix : A square, symmetric matrix with the rows and columns corresponding to the variables, in which the non diagonal elements are correlations between the pairs of t

McNemar's test  is the test for comparing proportions in data involving the paired samples. The test statistic can be given by   it is most useful when the data have a symmetri

Behrens Fisher problem : The difficulty of testing for the equality of the means of the two normal distributions which do not have the equal variance. Various test statistics have

i will like to submit my project for you to do on chi-square, ANOVA, and correlation and simple regression. how can we do this?

Models which make use of the smoothing techniques such as locally weighted regression to identify and represent the possible non-linear relationships between the explanatory and th

Formal graphical representation of the "causal diagrams" or the "path diagrams" where the  relationships are directed but acyclic (that is no feedback relations allowed). Plays an

The distribution over distributions in the sense that each draw from the process is itself the distribution. The name Dirichlet process or procedure is due to the fact that the ?ni

Matching coefficient is a similarity coefficient for data consisting of the number of binary variables which is often used in cluster analysis. It can be given as follows    he

Non linear mapping (NLM ) is a technique for obtaining a low-dimensional representation of the set of multivariate data, which operates by minimizing a function of the differences

Literature controls : The patients with the disease of interest who have received, in the past, one of two treatments under the investigation, and for whom the results have been pu