ObjectiveActive surveillance (AS) represents a fundamental shift in managing select cancer patients that initiates treatment only upon disease progression to avoid overtreatment.Given uncertain outcomes, patient engagement could click here support decision-making about AS.Little is known about how to optimize patient engagement for AS decision-maki
Abstract Background Randomized trials are considered the gold standard for making inferences about the causal effects of treatments.However, when protocol deviations occur, the baseline randomization of the trial is no longer sufficient to ensure unbiased estimation of the per-protocol effect: post-randomization, time-varying confounders must be su
The rapid proliferation of environmental sensor networks (ESNs) used for monitoring environmental systems, such as meteorology and air quality, and advances in database technologies [e.g., structured query language (SQL)] has made significant progress in sensor data management.Notwithstanding the strength of these databases, they can inevitably lea