Objective Patient recruitment in clinical trials is challenging with failure to recruit to time and
target sample size common. This may be caused by unanticipated problems or by …

This article is devoted to developing further a statistical technique for modeling patient
recruitment together with randomization process in multicentre clinical trials. The analytic …

The complexity of clinical trials and multi-state hierarchic structure of different operational
processes require developing new predictive analytic techniques for efficient modeling and …

Taking a decision on the feasibility and estimating the duration of patients' recruitment in a
clinical trial are very important but very hard questions to answer, mainly because of the …

A new analytic statistical technique for predictive event modeling in ongoing multicenter
clinical trials with waiting time to response is developed. It allows for the predictive mean …

Randomized clinical trial (RCT) studies are the gold standard for scientific evidence on
treatment benefits to patients. RCT outcomes may not be generalizable to clinical practice if …

We consider event-driven clinical trials, where the analysis is performed once a pre-
determined number of clinical events has been reached. For example, these events could …

Design and forecasting of patient enrollment is among the greatest challenges that the
clinical research enterprize faces today, as inefficient enrollment can be a major cause of …

Recruiting patients is a crucial step of a clinical trial. Estimation of the trial duration is a
question of paramount interest. Most techniques are based on deterministic models and …

Despite a growing body of literature in the area of recruitment modeling for multicenter
studies, in practice, statistical models to predict enrollments are rarely used and when they …