<p>Transitional probabilities calculated using first-order Markov chains for each of the interval patterns.</p
A statistical method is presented for detecting random variation in the transition probabilities of ...
Four clinical states and 16 transition probabilities between states are represented (using Markov ch...
For health-economic analyses that use multistate Markov models, it is often necessary to convert fro...
<p>Transitional probabilities calculated using third-order Markov chains for each of the interval pa...
<p>Transitional probabilities calculated using fourth-order Markov chains for each of the interval p...
<p>Transition Probabilities. Infinitesimal transition probabilities for the stochastic Markov proces...
<p>Multiple regression analyses based on the stepwise method in first-order Markov chain.</p
<p>Transition matrices based on the fourth-order Markov chain (P(X|0, -2, -3, -5)).</p
<p>The examples of transitions in which transitional probabilities were gradually increased and decr...
Transition probabilities used to conduct a baseline analysis as well as cohort-level Markov simulati...
<p>Estimates of the baseline transition intensities, conditional probabilities of transition, and me...
Given a Markov Process with transition rates that go up and down by 1 and 2 step increments, we woul...
Suppose that if it is sunny today, there is a 60% chance it will be sunny tomorrow and that if it is...
Steady state conditions have often been imposed on many Markovian systems. In analysing such systems...
AbstractThe parameters of Markov chain models are often not known precisely. Instead of ignoring thi...
A statistical method is presented for detecting random variation in the transition probabilities of ...
Four clinical states and 16 transition probabilities between states are represented (using Markov ch...
For health-economic analyses that use multistate Markov models, it is often necessary to convert fro...
<p>Transitional probabilities calculated using third-order Markov chains for each of the interval pa...
<p>Transitional probabilities calculated using fourth-order Markov chains for each of the interval p...
<p>Transition Probabilities. Infinitesimal transition probabilities for the stochastic Markov proces...
<p>Multiple regression analyses based on the stepwise method in first-order Markov chain.</p
<p>Transition matrices based on the fourth-order Markov chain (P(X|0, -2, -3, -5)).</p
<p>The examples of transitions in which transitional probabilities were gradually increased and decr...
Transition probabilities used to conduct a baseline analysis as well as cohort-level Markov simulati...
<p>Estimates of the baseline transition intensities, conditional probabilities of transition, and me...
Given a Markov Process with transition rates that go up and down by 1 and 2 step increments, we woul...
Suppose that if it is sunny today, there is a 60% chance it will be sunny tomorrow and that if it is...
Steady state conditions have often been imposed on many Markovian systems. In analysing such systems...
AbstractThe parameters of Markov chain models are often not known precisely. Instead of ignoring thi...
A statistical method is presented for detecting random variation in the transition probabilities of ...
Four clinical states and 16 transition probabilities between states are represented (using Markov ch...
For health-economic analyses that use multistate Markov models, it is often necessary to convert fro...
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