Minimization, Advanced Statistics

Minimization is the method or technique for allocating patients to the treatments in clinical trials which is usually the acceptable alternative to random allocation. The procedure ensures the balance between the groups to be compared on prognostic variables, by allocating with the high probability next patient to enter the trial to whatever treatment would minimize the total imbalance between the groups on prognostic variables, at that stage of trial.

Posted Date: 7/30/2012 3:50:18 AM | Location : United States







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

Write discussion on Minimization
Your posts are moderated
Related Questions
Informed consent: The consent needed from each potential participant former to random assignment in the clinical trial as speci?ed in the year 1996 version of Helsinki declaration

Catastrophe theory : A theory of how little is the continuous changes in the independent variables which can have unexpected, discontinuous effects on the dependent variables. Exam

The total amount of protein produced by a dairy cow can be estimated from periodic testing of her milk.  The following are the total annual protein production values (lb) for 28 tw

In the experimental studies, the collection of individuals to which the experimental process of interest is not applied. In the observational studies, most often used for a collect

I need a statistics project done. How much will it cost?

Chebyshev's inequality: A statement about the proportion of the observations which fall within some number of the standard deviations of the mean for any of the probability distri

This term is sometimes used for the data collected in those longitudinal studies in which more than the single response variable is recorded for each subject on each occasion. For

Growth curve analysis is t he general term for methods dealing with development of the individuals over time. A classic instance includes recordings made on a group of children, sa

Gllamm is a program which estimates the generalized linear latent and mixed models by the maximum likelihood. The models which can be fitted include structural equation models mul

Nearest-neighbour methods are the methods of discriminant analysis are based on studying the training set subjects much similar to the subject to be classified. Classification mig