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One of the greatest limitations in EHD adherence research is the lack of doses, or durations of supply in many data sets. Having the ability to calculate durations of supply using either the forwards or reverse waiting time distribution would be a useful feature in AdhereR. There is a function in the Stata package, wtdttt, and here are some references:
Bødkergaard K, Selmer RM, Hallas J, et al. Using the waiting time distribution with random index dates to estimate prescription durations in the presence of seasonal stockpiling. Pharmacoepidemiol Drug Saf. 2020;29(9):1072-1078. doi:10.1002/pds.5026.
Hallas J, Gaist D, Bjerrum L. The waiting time distribution as a graphical approach to epidemiologic measures of drug utilization. Epidemiology. 1997;8(6):666-670. doi:10.1097/00001648-199710000-00009.
Pottegård A, Hallas J. Assigning exposure duration to single prescriptions by use of the waiting time distribution. Pharmacoepidemiol Drug Saf. 2013;22(8):803-809. doi:10.1002/pds.3459.
The text was updated successfully, but these errors were encountered:
One of the greatest limitations in EHD adherence research is the lack of doses, or durations of supply in many data sets. Having the ability to calculate durations of supply using either the forwards or reverse waiting time distribution would be a useful feature in AdhereR. There is a function in the Stata package, wtdttt, and here are some references:
The text was updated successfully, but these errors were encountered: