Clinical Data Recorder Group

At Quest, we use spontaneous EEG to measure electrical activity of the brain from the surface of the scalp. A widely available technique, this is also extremely resource-intensive a typical clinical session may take several hours to complete, including the preparation of the subject, the EEG experiment and collation of the resultant data. The vast amounts of data recorded take time to digitize, summarize and analyse. Rapid software enhancements constantly improve this process, making it more accessible to a larger number of research groups. 

There may be times when a DATA step with arrays is a better means to transpose data. This is true when the data to be transposed have more than one record per BY group variable or when there is a need to have the resulting data set include data that are not in the source data set. In clinical trials missing data is a very common issue. Let s look at a derivation of the previous systolic blood pressure transposition problem where visit 2 is always missing. 

There are data from several small clinical trials with A9-THC or with nabi-lone (25), a synthetic cannabinoid agonist. The first trial (double blind, placebo-controlled) was by Petro and Ellenberger who recorded that in a group of nine patients, administered up to 10 mg A9-THC, three felt that they were better able to walk [136], The authors measured deep tendon reflexes, muscular resistance to stretch of the legs and abnormal reflexes, and found improvements. 

There have been a number of Unilever-sponsored 3-year caries clinical trials during which calculus prevalence was also recorded. Table 1 summarises the variations in the scoring system employed. For the purpose of the present analysis, scores have been combined to produce two subject groups those with calculus and those without calculus. Mean baseline caries and calculus prevalence data from six trials are listed in table 2, whilst corresponding 3-year caries increment data and calculus prevalence at the end of each trial are listed in table 3. 

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