1 citations · 1 across the 2 of their papers we have counts for
3 papers
stat.ME2025
Inverse-intensity weighted generalized estimating equations with irregularly measured longitudinal data and informative dropout
George Stefan, Eleanor Pullenayegum
Longitudinal data are commonly encountered in biomedical research, including randomized trials and retrospective cohort studies. Subjects are typically followed over a period of ti…
stat.ME2024★ 1 cited
Bias in mixed models when analysing longitudinal data subject to irregular observation: when should we worry about it and how can recommended visit intervals help in specifying joint models when needed?
Rose Garrett, Brian Feldman, Eleanor Pullenayegum
In longitudinal studies using routinely collected data, such as electronic health records (EHRs), patients tend to have more measurements when they are unwell; this informative obs…
stat.ME2024
Why recommended visit intervals should be extracted when conducting longitudinal analyses using electronic health record data: examining visit mechanism and sensitivity to assessment not at random
Rose Garrett, Masum Patel, Brian Feldman +1
Electronic health records (EHRs) provide an efficient approach to generating rich longitudinal datasets. However, since patients visit as needed, the assessment times are typically…