<p>Nodes represent the state of the model and arcs represent the transition of patient from one state to another. Round nodes in the first column represent the risk-score-states consisting or probability of cancer (e.g. 1%, 2%, …, 100%) of the patient of age 40. Round nodes in the second column represent the risk after 1 year. At each decision epoch, depending on the risk of cancer, the radiologist needs to make one of the two decisions–biopsy (<i>BX</i>), or annual mammography (<i>AM</i>). If biopsy is elected, the patient will then move to either the malignant biopsy state (Biopsy-M) or the benign biopsy state (Biopsy-B).</p
<p>Supplemental material, DS_10.1177_0272989X18759482 for A Two-Step Markov Processes Approach for P...
<p>nmr = natural mortality rate. tpA2A = transition probability of staying in state A. tpA2B = trans...
<p>It shows all clinically important events and transition paths from one state to another.</p
<p><b>(a)</b> State transitions represented by a directed graph. <b>(b)</b> The associated transitio...
Each node corresponds to a possible metastatic state and is represented by a binary string which sig...
<p>Ellipses define the four different health states of the model (HIV−, HIV+, HIV++ and Death). The ...
Each node corresponds to a possible metastatic state and is represented by a binary string which sig...
Cancer begins in cells, the building blocks that make up tissues. Tissues make up the organs of the ...
<p>For each simulation, patients transited from left to right of the model. Incident PCa cases were ...
<p>Markov diagram of health states and the possible transitions among them during each 1-month cycle...
In the US, breast cancer is one of the most common forms of cancer and the most lethal. There are ma...
<p>with ar: age rate, tp: transition probability, fr: failure rate, cr: rate of initiation of second...
Four clinical states and 16 transition probabilities between states are represented (using Markov ch...
<p>The “start” and “end” states are added for illustrative purposes. In the effective delivery strat...
<p>PCa – prostate cancer,+multimodal treatment, P<i><sub>mCRPC -</sub></i> probability of metastatic...
<p>Supplemental material, DS_10.1177_0272989X18759482 for A Two-Step Markov Processes Approach for P...
<p>nmr = natural mortality rate. tpA2A = transition probability of staying in state A. tpA2B = trans...
<p>It shows all clinically important events and transition paths from one state to another.</p
<p><b>(a)</b> State transitions represented by a directed graph. <b>(b)</b> The associated transitio...
Each node corresponds to a possible metastatic state and is represented by a binary string which sig...
<p>Ellipses define the four different health states of the model (HIV−, HIV+, HIV++ and Death). The ...
Each node corresponds to a possible metastatic state and is represented by a binary string which sig...
Cancer begins in cells, the building blocks that make up tissues. Tissues make up the organs of the ...
<p>For each simulation, patients transited from left to right of the model. Incident PCa cases were ...
<p>Markov diagram of health states and the possible transitions among them during each 1-month cycle...
In the US, breast cancer is one of the most common forms of cancer and the most lethal. There are ma...
<p>with ar: age rate, tp: transition probability, fr: failure rate, cr: rate of initiation of second...
Four clinical states and 16 transition probabilities between states are represented (using Markov ch...
<p>The “start” and “end” states are added for illustrative purposes. In the effective delivery strat...
<p>PCa – prostate cancer,+multimodal treatment, P<i><sub>mCRPC -</sub></i> probability of metastatic...
<p>Supplemental material, DS_10.1177_0272989X18759482 for A Two-Step Markov Processes Approach for P...
<p>nmr = natural mortality rate. tpA2A = transition probability of staying in state A. tpA2B = trans...
<p>It shows all clinically important events and transition paths from one state to another.</p