Explain historical controls, Advanced Statistics

Historical controls: The group of patients treated in the past with the standard therapy, taken in use as the control group for evaluating the new treatment on the present patients. Though used fairly frequently in the medical investigations, the approach is not to be suggested since possible biases, due to other factors that might have changed over time, can never be satisfactorily removed.

Posted Date: 7/28/2012 7:17:54 AM | Location : United States







Related Discussions:- Explain historical controls, Assignment Help, Ask Question on Explain historical controls, Get Answer, Expert's Help, Explain historical controls Discussions

Write discussion on Explain historical controls
Your posts are moderated
Related Questions
Longini Koopman model : In epidemiology the model for primary and secondary infection, based on the classification of the extra-binomial variation in an infection rate which might

This term sometimes is applied to the model for explaining the differences found between naturally happening groups which are greater than those observed on some previous occasion;

The analysis of data which are the functions observed continuously, for instance, functions of time. Basically a collection of statistical techniques or methods for answering quest

an oil company is considering whether or not to bid for an offshore drilling contract. The bid would cost $60 with a 65% chance of gaining the contract. Outcome success Probability

It is the art of attempting to exchange something quite small and certain, for something which are large and uncertain. Gambling is big business; in the US, for instance, it is at

1) Let N1(t) and N2(t) be independent Poisson processes with rates, ?1 and ?2, respectively. Let N (t) = N1(t) + N2(t). a) What is the distribution of the time till the next epoch

The results of a survey determined whether the age of a driver 21 years and older has any effect on the number of motor vehicle accidents in which he/she is involved. Question 1:

Partial least squares is an alternative to the multiple regressions which, in spite of using the original q explanatory variables directly, constructs the new set of k regressor v

The Null Hypothesis - H0:  γ 1 = γ 2 = ...  =  0  i.e.  there is no heteroscedasticity in the model The Alternative Hypothesis - H1:  at least one of the γ i 's are not equal

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