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The collected data from the residents/fellows was then analyzed by a statistician using a Test of Between-Subjects Effect to evaluate for significance.
Data were entered on an Excel sheet and analysed by a statistician using SAS version 9.0.
Data were analysed by a statistician using SAS 9.0 (SAS Corporation Inc., Cary, USA).
This labelling is done following a randomization list made by a statistician using block randomization.
The sequence numbers are generated by a statistician using MS Excel.
The statistical analysis was performed by a statistician using 'R' (R Foundation for Statistical Computing, Vienna, Austria).
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Randomisation (stratified by age, sex, and ethnicity) was set up by a independent statistician using a computer generated list and was conducted remotely.
After baseline measures subjects were randomized (by a sponsor statistician using a computerized Clinical Allocation Schedule System (CASS) with blocking factors to ensure blinding based on a multiple of the number of treatment groups and subjects) and then received their first dose of study medication.
The allocations were done by an independent statistician using a table of random numbers.
Allocation will be undertaken centrally by an independent statistician using a computerised random number generator in Microsoft Excel.
Patients will be randomized by an independent statistician using a computerized, random-number generator through the block-randomization method of Statistics Analysis System version 9.2 for sequence generation.
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