Dec 25, 2024 · 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 …

Modeling of clinical-effectiveness in a cost-effectiveness analysis typically involves some form of partitioned survival or Markov decision-analytic modeling. The health states progression-free, …

Predator–prey model is a classic biological model used to study the relationship between species survival. In this study, we investigate a stochastic single predator–dual prey model with …

This article presents a Markov-based approach that integrates technical, social, and economic aspects that describe a techno-human-economic (THE) model under disturbance.

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 …

Mar 15, 2018 · Extrapolation to a lifetime horizon is possible using a series of methods based on parametric survival models (e.g., Weibull, exponential); but performing these projections can be …

In the present paper, a Markov model for non-small cell lung cancer progression in human considering symptomatic and non-symptomatic cases has been developed. Mean sojourn time and mean …

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, …

Dec 17, 2024 · The present article aims to model the resilience trifecta, survivability, and resurgence using a Markov chain to understand the dynamics of a system under multiple shocks.

One example is the Fix and Neyman (F-N) competing risks model (1951) that uses finite homogeneous Markov processes to analyse clinical trials with breast cancer patients. We revisit the F-N model, and …