Bayesian second-order sensitivity of longitudinal inferences to non-ignorability: an application to antidepressant clinical trial data
E Momeni Roochi… - The International Journal of …, 2023 - degruyter.com
Incomplete data is a prevalent complication in longitudinal studies due to individuals' drop-
out before intended completion time. Currently available methods via commercial software …
out before intended completion time. Currently available methods via commercial software …
Bayesian second-order sensitivity of longitudinal inferences to non-ignorability: an application to antidepressant clinical trial data
EM Roochi, SE Mahabadi - The International Journal of Biostatistics, 2023 - degruyter.com
Incomplete data is a prevalent complication in longitudinal studies due to individuals' drop-
out before intended completion time. Currently available methods via commercial software …
out before intended completion time. Currently available methods via commercial software …
Bayesian sensitivity analysis to the non-ignorable missing cause of failure for hybrid censored competing risks data
F Azizi, S Eftekhari Mahabadi… - Journal of Statistical …, 2020 - Taylor & Francis
Competing risks arise when an individual is exposed to the several causes of failure. In this
case, the recorded data includes two components, the failure times and the cause of failure …
case, the recorded data includes two components, the failure times and the cause of failure …