Modelling the Persistence of Disease-Modifying Drug Treatment (DMT) and its Independent Drivers in Finnish Multiple Sclerosis (MS) Patients: Parametric Survival Modelling

Soini, EJ; Holmberg, M.; Asseburg, Christian; Sumelahti, Marja Liisa

doi:10.1016/j.jval.2014.08.911

Cited by 2 publications

(1 citation statement)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…It was seen that it improved the AUV survival significantly. Other parametric statistical models widely used in statistics for survival analysis are the lognormal, loglogistic and exponential [19], [20].…”

Section: Short and Long-term Reliability Analysis Tools And Methodsmentioning

confidence: 99%

Risk and reliability modelling for multi-vehicle marine domains

Harris

Phillips

Dopico-González

et al. 2016

2016 IEEE/OES Autonomous Underwater Vehicles (AUV)

View full text Add to dashboard Cite

Abstract-It is well-known that autonomous underwater vehicle (AUV) missions are a challenging, high-risk robotics application. With many parallels to Mars rovers, AUV missions involve operating a vehicle in an inherently uncertain environment of which our prior knowledge is often sparse or low-resolution. The lack of an accurate prior, coupled with poor situational awareness and potentially significant sensor noise, presents substantial engineering challenges in navigation, localisation, state estimation and control. When constructing missions and operating AUVs, it is important to consider the risks involved. Stakeholders need to be reassured that risks of vehicle loss or damage have been minimised where possible, and scientists need to be confident that the mission is likely to produce sufficient high-quality data to meet the aims of the deployment. In this paper, we consider the challenges associated with risk analysis methods and representations for multi-vehicle missions, reviewing the relevant literature and proposing a methodology.

show abstract

Section: Short and Long-term Reliability Analysis Tools And Methodsmentioning

confidence: 99%