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For each individual m we modelled the observed tracking ratio r = k / n (where k is the number of days tracked and n is the number of total days between m’s first and last day tracked) as a sample from a Binomial(n, p). To create a shrinkage estimator of m’s true tracking ratio using the Bayesian framework, we chose a Beta(α,β) distribution as our prior for m’s tracking ratio. We fixed α / (α+β) to rmean, the sample mean of tracking ratios across all individuals and fixed α+β-2 to 10.
J Med Internet Res 2019;21(3):e11486
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Statistical tests were performed using R 3.2.2 (Vienna, Austria). Data processing was performed in Python 2.7.10 using the Pandas package [17]. All significance is noted at an alpha level of .05.
Of the 546 Crowd Med patients eligible for recruitment, 445 were sent email invitations to the study, 94 initiated the study survey, and 45 completed it with information for both their health insurer(s) and health care providers (Figure 1).
J Med Internet Res 2016;18(6):e127
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