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stat.ME2022
Marginal Regression on Transient State Occupation Probabilities with Clustered Multistate Process Data
Wenxian Zhou, Giorgos Bakoyannis, Ying Zhang +1
Clustered multistate process data are commonly encountered in multicenter observational studies and clinical trials. A clinically important estimand with such data is the marginal…
stat.ME2022
Variance estimation in pseudo-expected estimating equations for missing data
Giorgos Bakoyannis, Philani B. Mpofu, Andrea Broyles +1
Missing data is a common challenge in biomedical research. This fact, along with growing dataset volumes of the modern era, make the issue of computationally-efficient analysis wit…
stat.ME2022
Estimating optimal individualized treatment rules with multistate processes
Giorgos Bakoyannis
Multistate process data are common in studies of chronic diseases such as cancer. These data are ideal for precision medicine purposes as they can be leveraged to improve more refi…