Abstract:
Objective
To compare the unpredictability of the allocation results of a completely randomized method and the minimized method in case allocation methods.
Methods
The real randomized controlled trial data containing 340 cases were used and allocated with the above two allocation methods.Logistics regression，random forest and linear kernel support vector machine were applied respectively to predict the next case.The unpredictability of the two allocation methods was compared with the correct predictor ratio.
Results
The results of completely randomized method achieved almost perfect unpredictability，and the minimization method had some predictability.
Conclusion
For randomized controlled trials，the allocation bias factor should be minimized under the premise of ensuring a balance between groups.
Key words:
Case allocation,
Completely random,
Minimized
Yan Cui. Comparison of the unpredictability between the simple randomized allocation method and the minimized case method in randomized controlled trial[J]. Chinese Journal of Acupuncture and Moxibustion(Electronic Edition), 2017, 06(04): 140-142.