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Studies applied to observational data typically lack both randomization and structure in the data collection process.
Studies applied to observational data have the disadvantages of lacking both randomization and structure in the data collection process.
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Both randomization and regression discontinuity had been applied to education topics since much earlier in the 20th century.
By this method, both randomization and double blinding were provided.
Both randomization and allocation were unclear in two included studies [ 27, 29].
There was a statement on both randomization and withdrawal in most of the trials.
Both randomization tests and the algorithm of Dong become unreliable when about 50% of the examined factors are significant.
In recently reported lifestyle intervention studies, both individual randomization and cluster randomization [ 42, 43] have been used.
The initial sample size was 262 infants, and both the randomization and the intervention were masked.
The evaluation of the baseline characteristics showed a well-balanced randomization and a representative sample structure of the investigated patients while the baseline demographic characteristics of our real-life sample were comparable to study populations in pivotal aromatase inhibitor trials with regard to age, tumour characteristics and primary therapy [ 1- 3].
In clinical trials, both unequal randomization design and sequential analyses have ethical and economic advantages.
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