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computer-based markov model  (treeage software)

 
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    treeage software computer-based markov model
    Simplified schematic of <t>Markov</t> health states. In each cycle, individuals may remain in the same health state, transition to the following state, or die from liver disease or unrelated causes. For example, transition 1 reflects cancer incidence; transition 2 is determined by the sensitivity of <t>the</t> <t>surveillance</t> modality; and transition 3 is the proportion of treatment-eligible tumors. Best available data were used to determine transitions. The grey boxes represent the possible benefit of surveillance: detection and treatment of small HCC.
    Computer Based Markov Model, supplied by treeage software, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/computer-based+markov+model/markov+decision+analytic+computer+simulation+model/pmc04340842-166-4-6
    Average 90 stars, based on 1 article reviews
    computer-based markov model - by Bioz Stars, 2026-11
    90/100 stars

    Images

    1) Product Images from "Cost-Effectiveness of Alternative Surveillance Strategies for Hepatocellular Carcinoma in Patients with Cirrhosis"

    Article Title: Cost-Effectiveness of Alternative Surveillance Strategies for Hepatocellular Carcinoma in Patients with Cirrhosis

    Journal: Clinical gastroenterology and hepatology : the official clinical practice journal of the American Gastroenterological Association

    doi: 10.1016/j.cgh.2008.08.005

    Simplified schematic of Markov health states. In each cycle, individuals may remain in the same health state, transition to the following state, or die from liver disease or unrelated causes. For example, transition 1 reflects cancer incidence; transition 2 is determined by the sensitivity of the surveillance modality; and transition 3 is the proportion of treatment-eligible tumors. Best available data were used to determine transitions. The grey boxes represent the possible benefit of surveillance: detection and treatment of small HCC.
    Figure Legend Snippet: Simplified schematic of Markov health states. In each cycle, individuals may remain in the same health state, transition to the following state, or die from liver disease or unrelated causes. For example, transition 1 reflects cancer incidence; transition 2 is determined by the sensitivity of the surveillance modality; and transition 3 is the proportion of treatment-eligible tumors. Best available data were used to determine transitions. The grey boxes represent the possible benefit of surveillance: detection and treatment of small HCC.

    Techniques Used:

    Related Articles

    Software:

    Article Title: Esophageal Adenocarcinoma Incidence in Individuals With Gastroesophageal Reflux: Synthesis and Estimates From Population Studies
    Article Snippet: .. Markov model of incidence of EAC Using TreeAge Pro Suite 2009 software (TreeAge Software, Williamstown, MA), we created a Markov computer model of the development of EAC predicting the age- and sex-specific incidences of EAC in the general white non-Hispanic population, stratified by the presence or absence of clinically relevant GERD, and accounting for competing age-, sex-, and race-specific risk of death from all other causes ( ) ( 25 ). ..

    other:

    Article Title: Cost-Effectiveness of Alternative Surveillance Strategies for Hepatocellular Carcinoma in Patients with Cirrhosis
    Article Snippet: We developed a computer-based Markov model (TreeAge Pro software 2005) to simulate disease progression, surveillance, diagnosis, and treatment of HCC in a cohort of patients with compensated cirrhosis.

    Article Title: Periodic limb movements of sleep: empirical and theoretical evidence supporting objective at-home monitoring
    Article Snippet: Markov decision analysis with TreeAge software compared strategies to detect PLMS: in-laboratory PSG, at-home testing, and a clinical prediction tool based on the regression analysis.

    Construct:

    Article Title: The Potential Economic Value of a Cutaneous Leishmaniasis Vaccine in Seven Endemic Countries in the Americas
    Article Snippet: .. We constructed a Markov decision analytic computer simulation model in TreeAge Pro 2009 (TreeAge Software, Williamstown, MA) to evaluate the potential economic value of a cutaneous leishmaniasis vaccine from the societal perspective in seven endemic countries in Latin America: Bolivia, Brazil, Colombia, Ecuador, Mexico, Peru, and Venezuela. ..

    Article Title: The potential economic value of a ‘universal’ (multi‐year) influenza vaccine
    Article Snippet: .. presents the general structure of the Markov decision analytic computer simulation model constructed using TreeAge Pro 2009 (TreeAge Software, Williamstown, MA, USA). ..

    Article Title: The Potential Economic Value of a Trypanosoma cruzi (Chagas Disease) Vaccine in Latin America
    Article Snippet: .. We constructed a Markov decision analytic computer simulation model to assess the potential cost-effectiveness of a T. cruzi vaccine in Latin America using TreeAge Pro 2009 (TreeAge Software, Williamstown, Massachusetts). ..

    Article Title: The Potential Economic Value of a Cutaneous Leishmaniasis Vaccine in Seven Endemic Countries in the Americas
    Article Snippet: .. Model Structure We constructed a Markov decision analytic computer simulation model in TreeAge Pro 2009 (TreeAge Software, Williamstown, MA) to evaluate the potential economic value of a cutaneous leishmaniasis vaccine from the societal perspective in seven endemic countries in Latin America: Bolivia, Brazil, Colombia, Ecuador, Mexico, Peru, and Venezuela. ..



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    Markov, State Transition, Computer Based Simulation Model Treeage 2013, supplied by treeage software, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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    Simplified schematic of <t>Markov</t> health states. In each cycle, individuals may remain in the same health state, transition to the following state, or die from liver disease or unrelated causes. For example, transition 1 reflects cancer incidence; transition 2 is determined by the sensitivity of <t>the</t> <t>surveillance</t> modality; and transition 3 is the proportion of treatment-eligible tumors. Best available data were used to determine transitions. The grey boxes represent the possible benefit of surveillance: detection and treatment of small HCC.
    Computer Based Markov Model, supplied by treeage software, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/computer-based+markov+model/markov+decision+analytic+computer+simulation+model/pmc04340842-166-4-6
    Average 90 stars, based on 1 article reviews
    computer-based markov model - by Bioz Stars, 2026-11
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    computer-based markov analytic model  (treeage software)
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    treeage software computer-based markov analytic model
    Simplified schematic of <t>Markov</t> health states. In each cycle, individuals may remain in the same health state, transition to the following state, or die from liver disease or unrelated causes. For example, transition 1 reflects cancer incidence; transition 2 is determined by the sensitivity of <t>the</t> <t>surveillance</t> modality; and transition 3 is the proportion of treatment-eligible tumors. Best available data were used to determine transitions. The grey boxes represent the possible benefit of surveillance: detection and treatment of small HCC.
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    Average 90 stars, based on 1 article reviews
    computer-based markov analytic model - by Bioz Stars, 2026-11
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    Image Search Results


    Simplified schematic of Markov health states. In each cycle, individuals may remain in the same health state, transition to the following state, or die from liver disease or unrelated causes. For example, transition 1 reflects cancer incidence; transition 2 is determined by the sensitivity of the surveillance modality; and transition 3 is the proportion of treatment-eligible tumors. Best available data were used to determine transitions. The grey boxes represent the possible benefit of surveillance: detection and treatment of small HCC.

    Journal: Clinical gastroenterology and hepatology : the official clinical practice journal of the American Gastroenterological Association

    Article Title: Cost-Effectiveness of Alternative Surveillance Strategies for Hepatocellular Carcinoma in Patients with Cirrhosis

    doi: 10.1016/j.cgh.2008.08.005

    Figure Lengend Snippet: Simplified schematic of Markov health states. In each cycle, individuals may remain in the same health state, transition to the following state, or die from liver disease or unrelated causes. For example, transition 1 reflects cancer incidence; transition 2 is determined by the sensitivity of the surveillance modality; and transition 3 is the proportion of treatment-eligible tumors. Best available data were used to determine transitions. The grey boxes represent the possible benefit of surveillance: detection and treatment of small HCC.

    Article Snippet: We developed a computer-based Markov model (TreeAge Pro software 2005) to simulate disease progression, surveillance, diagnosis, and treatment of HCC in a cohort of patients with compensated cirrhosis.

    Techniques: