Category : MergedSet Releases

Hi all,Over the recent months, the data team has been pooling large amounts of data into the STATA Mergedset to deliver a few enhancements for our researchers: Detailed Computerized Adaptive Testing information for each domain for all patients Enrollment statuses & screening information for all patients to allow direct access to these metrics for manuscript reporting Though this was a great milestone, unfortunately, some of you may have noticed that the STATA dataset was growing exponentially in size to around […]

Hi all,Hope everyone is making the most of the remote work and preparing for the colder temperatures ahead.With alot of analyses & papers ongoing, we’ve been working closely with the dataset to identify and resolve issues. Several enhancements have been implemented into the November 2020 MergedSet.dta: Cat domain counterWe’ve noticed that the *_cnt variables were quite buggy and, in some instances, showing that patients answered more than 12 questions in the cat domain. The prior method worked as follows:Let B […]

Hi all,Hope everyone’s Fall semester is off to a great start & you’re enjoying the last bit of warmth and clear skies. I wanted to share some updates as well as technical documentation, for those who have been asking, on the Ontario Marginal Index dataset in our research. Faisal has put alot of work into auditing & combing through this data to ensure accurate practices were being used for our research, so huge thanks for all his hard work! Highlights […]

Hi all,We’ve implemented an important change to the data dump folder, impacting STATA research datasets & production frequencies moving forward. The problemCurrently, we produce research datasets on a daily basis via our automated scripts and resolve bugs as they arise with collected patient data or when we are addressing existing data issues. This lag in correcting existing issues, results in several datasets being produced not having the corrections reflected and not the best tracking mechanism in place to allow us […]

Hi all,For those of you working on papers/abstracts/analysis with mixed patient pools (e.g. your sample is the patients in Barriers and patients in ETO), you will encounter the issue of patient matching. Essentially, it is possible for your sample here to include patients who enrolled and completed both the Barriers and the ETO study. This double information can have a negative impact on your analysis, and should be removed. Some of you may have noticed that we have a variable […]