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Allocating interventions to research participants used a random list which sequence was computer-generated by an independent statistician.
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After stratification for diagnosis, the patients were randomly assigned by the pharmacist to either AOX micronutrient or placebo group, using a random list with a four-block allocation.
We used a random number list to select patients randomly from the practice diabetes register until a total of 21 patients were recruited in each practice.
We used a random number list (created by a researcher who was blind to the identity of the participants) to randomly select children from each class until 10 children were recruited.
At the selected household, we identified all residents who had slept in the house the night before, and we used a random number list to select one of these household residents.
Depending on the preference of the researchers or facilities of the research environment, subjects are randomly allocated to intervention groups using either a random list prepared before the study (In Advance method) or a randomized allocation at the moment of intended intervention (Just In Time method; JIT).
Patients are allocated to the diclofenac or the acetaminophen group using a randomization list (with random blocks of 4, 6 or 8) produced by a computer-generated table.
Mixed meal tests were conducted in random order using a randomization list generated in StatsDirect 4 (StatsDirect Ltd ,UK), between 48 h and 2 weeks apart.
Respondents were randomized using a random numbers list without stratification into one of two conditions: (i) an Internet personalized alcohol feedback condition (intervention condition); or (ii) a no-intervention control condition.
Randomization was conducted using a random numbers list (odd numbers for condition one and even numbers for condition two) with no stratification.
A randomized sequence generator (Haahr and Haahr 1998) was used to generate a random list of the squares to be observed each day.
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