Package 'msm' Title Multi-state Markov and Hidden Markov Models in Continuous Time
نویسندگان
چکیده
Description Functions for fitting general continuous-time Markov and hidden Markov multi-state models to longitudinal data. Both Markov transition rates and the hidden Markov output process can be modelled in terms of covariates. A variety of observation schemes are supported, including processes observed at arbitrary times, completely-observed processes, and censored states.
منابع مشابه
Comparative study of predictive ability of AIDS incidence in HIV positive people using Markov model according to two criteria, WHO and CDC in CD4 cell categorization
Background: The Multi state Markov models have extensively application with categorization of laboratory marker of CD4 cells for evaluation of HIV disease progression. These models with different states result in different effects of covariates and prediction of HIV disease trend. The main purpose of this study was comparison of four and five states models with the three- state in order to sele...
متن کاملبررسی عوامل موثر بر زمان بقاء بیماران لوسمی حاد بعد از پیوند مغز استخوان با استفاده از مدل‌های چندحالتی نیمه مارکفی در بیمارستان شریعتی تهران
Abstract Background: Semi-Markov multi-state models are very important to describe regression and progression in chronic diseases and cancers. Purpose of this research was to determine the prognostic factors for survival after acute leukemia using multi-state models. Materials and Methods: In this descriptive longitudinal research, a total of 507 acute leukemia patients (206 acute lymphocyt...
متن کاملIntroducing Busy Customer Portfolio Using Hidden Markov Model
Due to the effective role of Markov models in customer relationship management (CRM), there is a lack of comprehensive literature review which contains all related literatures. In this paper the focus is on academic databases to find all the articles that had been published in 2011 and earlier. One hundred articles were identified and reviewed to find direct relevance for applying Markov models...
متن کاملمدل سازی فضایی-زمانی وقوع و مقدار بارش زمستانه در گستره ایران با استفاده از مدل مارکف پنهان
Multi site modeling of rainfall is one of the most important issues in environmental sciences especially in watershed management. For this purpose, different statistical models have been developed which involve spatial approaches in simulation and modeling of daily rainfall values. The hidden Markov is one of the multi-site daily rainfall models which in addition to simulation of daily rainfall...
متن کاملApproximating Selected Non-dominant Timescales by Markov State Models
We consider time-continuous, reversible Markov processes on large or continuous state space. For a practical analysis of such processes it is often necessary to construct low dimensional approximations, like Markov State Models (MSM). MSM have been used for this purpose in several applications, particularly in molecular dynamics, see [16] for an example. One of the main goals of MSMs is the cor...
متن کامل