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First of all, potential selection bias cannot be ruled out due to not being able to use a random sampling frame.
Second, the study was not able to use a random sampling method to recruit the FSWs, likely resulting in the sample bias.
The research team is aware of the limitations of convenience sampling and would have preferred to use a random sampling strategy; however, this was impossible because of limited resources.
Sample bias may also have affected the limited range of responses to attitude questions observed, however, small numbers and self selection of participants to attend the course made it impractical to use a random sampling technique.
There was discussion about whether to use a random sampling methodology, but it was decided to send the instrument to all our resident population for symbolic purposes, so each and every postgraduate student at UNAM Faculty of Medicine was aware of the resident as educator concept and that the University authorities were planning on implementing such a program.
Thus, we here use a random sampling approach similar to the one by Kim et al. This universal normalization approach led to AS rate estimates that are independent of the number and distribution of the ESTs, and thus, are more comparable across species.
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We use a random sample of 5,998 people born between 1900 and 2000 to fit the model.
We use a Random Sample Consensus (RANSAC -based algoRANSAC -based this cooperalgorithmhod more robustoagainst outlier data fabricated by Sybil nodes.
Because the study did not use a random sample, it is difficult to draw conclusions from it, Occidental administrators cautioned.
The study will use a random sample of 12 local teams in Quebec, stratified by intensity of interdisciplinarity.
Because we use a random sample of the total population, study design or self-selection biases do not exist.
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