Question

Do you control for covariates when

analyzing the effect of treatment if randomization produced balanced treatment and control groups? why or why not?

Answer 1

During analysis of effective treatment covariates plays a major role and also randomnization of treatment is definately required in order to provide balanced treamtment and the major population in the city and the country depend on the randomnization of services .A covariate can be independent variable or unwanted cofounding variable .There should be a balanced treatment of the individials .

The basic benefits of randomization are as follows: it eliminates the selection bias, balances the groups with respect to many known and unknown confounding or prognostic variables, and forms the basis for statistical tests, a basis for an assumption of free statistical test of the equality of treatments.

A good experiment or trial minimizes the variability of the evaluation and provides unbiased evaluation of the intervention by avoiding confounding from other factors, which are known and unknown. Randomization ensures that each patient has an equal chance of receiving any of the treatments under study, generate comparable intervention groups, which are alike in all the important aspects except for the intervention each groups receives. It also provides a basis for the statistical methods used in analyzing the data. The basic benefits of randomization are as follows: it eliminates the selection bias, balances the groups with respect to many known and unknown confounding or prognostic variables, and forms the basis for statistical tests, a basis for an assumption of free statistical test of the equality of treatments. In general, a randomized experiment is an essential tool for testing the efficacy of the treatment.