Response feature analysis, Advanced Statistics

Response feature analysis is the approach to the analysis of longitudinal data including the calculation of the suitable summary measures from the set of repeated measures on each subject.

For instance, the mean of the subject's measurements may be calculated or the maximum value of the response variable over repeated measurements, etc. Simple techniques such as

The Student's t-tests or the Mann-Whitney tests are applied to these summary measures to assess differences between the treatments. 

 

Posted Date: 8/1/2012 12:48:20 AM | Location : United States







Related Discussions:- Response feature analysis, Assignment Help, Ask Question on Response feature analysis, Get Answer, Expert's Help, Response feature analysis Discussions

Write discussion on Response feature analysis
Your posts are moderated
Related Questions
Duck Lovers Unlimited (DLU) Inc. assembles specially configured light jet aircrafts for airborne duck hunting. The quarterly demand forecasts for the upcoming fiscal year are:

Human capital model : The model for evaluating the economic implication of the disease in terms of the economic loss of a person succumbing to morbidity or the mortality at some pa

Observation-driven model  is a term generally applied to models for the longitudinal data or time series which introduce within the unit correlation by specifying the conditional

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

Ascertainment bias : A feasible form of bias, particularly in the retrospective studies, which arises from the relationship between the exposure to the risk factor and the probabil

O. J. Simpson paradox is a term coming from the claim made by the defence lawyer in murder trial of O. J. Simpson. The lawyer acknowledged that the statistics demonstrate that onl

Oracle property is a name given to techniques for estimating the regression parameters in the models fitted to high-dimensional data which have the property that they can correctl

Nuisance parameter : The parameter of the model in which there is no scienti?c interest but whose values are generally required (but in usual are unknown) to make inferences about

how to find the PDF and CDF of a gamma random variable with given equation?

1. define statistical algorithms 2. write the flow charts for statistical algorithms for sums, squares and products. 3. write flow charts for statistical algorithms to generates ra