RTC are attributed to high levels of attaining causality in scientific research. RTCs incorporate origins that can be controlled reasonably and at the same time different interventions that can be tested. In matters pertaining to health services the subjects are randomized in terms of control arm or treatment for the sole reason of eliminating the subjectsâ€™ differences as well as isolating the effects of the treatment attained. While considering nonrandomized groups, there is a possibility of not accounting for nontreatment effects thus affecting the outcome in the sense that the outcome may not be reflecting the intervention or the treatment.
RTCs are regarded for their simplicity in terms of computation and their small sizes which are helpful in while computing limitations for a past period of time. The use of multivariate statistics power is limited as different types of variables are considered and covariates are other hand selected neutralized for the sole purpose of evaluating intervention effects. The use of randomization is effective in a bid to neutralize cofounders that are unmeasured. By using measured cofounders, patients are excluded from the study. It is through the RTCs that people have confidence in the numerous studied that have been undertaken. The definitive protocols that are attributed to screening of patients, collection of data and monitoring of care are some of the processes that make the whole RTC method to be relative expensive. It is because of their design characteristics that findings attained from RTCs do not reflect comparative effectiveness.
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