|
Canada-0-SILVERSMITHS Azienda Directories
|
Azienda News:
- The Markov Model for Survival Trials - Springer
In the Markov model, as in nature, cancer and cardio are on an equal footing, and as the Markov model progresses, each censors the other And both diminish the still at risk patients as the model progresses
- Markov chains and semi-Markov models in time-to-event analysis
Markov chain models, though often overlooked by investigators in time-to-event analysis, have long been used in clinical studies and have widespread application in other fields The analysis of time-to-event data in human and animal studies presents several statistical challenges
- Exchangeable Markov multi-state survival processes - arXiv. org
We characterize exchangeable Markov multi-state survival processes in both discrete and continuous time Statistical considerations im-pose natural constraints on the space of models appropriate for applied work In particular, we describe constraints arising from the notion of composable systems
- Markov-based model for resilience and survivability | Download . . .
This article applies the resilience-survivability framework to mathematically analyze the contributions of each component of the resilience trifecta—technology, human factors, and the economy
- How to Model Survival In Cost-Effectiveness Analysis? Differences . . .
Our objective is to explore the rationale for selecting either a Markov modeling approach or a PS approach to carry-out a cost-effectiveness analysis in oncology Our study focuses on the differences between the two approaches
- Estimation of Survival Probabilities for Use in Cost-effectiveness . . .
Modeling of clinical-effectiveness in a cost-effectiveness analysis typically involves some form of partitioned sur-vival or Markov decision-analytic modeling The health states progression-free, progression and death and the transitions between them are frequently of interest
- The Markov Model for Survival Trials | Springer Nature Link
Abstract The Markov model for designing survival trials was introduced in 1986, initially for sample size power for a comparison of proportions, and in 1988 for the logrank statistic The approach has been cited extensively, is available in commercial software
- Survivability Model of Networks using Attack Graphs and Markov Chains
In this paper, the contributions are- (a) established the credibility of an alarm using poisson distribution; and (b) presented a novel survivability model using the concepts of markov chains and attack graphs
|
|