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.

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Journal: Journal of Market Access & Health Policy

Article Title: The potential price and access implications of the cost-utility and budget impact methodologies applied by NICE in England and ICER in the US for a novel gene therapy in Parkinson’s disease

doi: 10.1080/20016689.2018.1500419

Figure Lengend Snippet: Key features of the Markov model used.

Article Snippet: The CUA and BIA in our example were calculated using a cohort-based state transition Markov model constructed in TreeAge Pro™ 2017 to compare the novel gene therapy to the SOC.

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Journal: Cancer Research and Treatment : Official Journal of Korean Cancer Association

Article Title: Cost Effectiveness of Colorectal Cancer Screening Interventions with Their Effects on Health Disparity Being Considered

doi: 10.4143/crt.2015.279

Figure Lengend Snippet: Simplified version of Markov cohort simulation model. P, polyp; ECC, early colorectal cancer; ACC, advanced colorectal cancer; CC, colorectal cancer.

Article Snippet: Per-capita QALYs and percapita cost were computed for each intervention for each area based on the Markov cohort simulation described above (2014, TreeAge Software Inc., Williamstown, MA).

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Journal: American Journal of Public Health

Article Title: The Cost-Effectiveness of School-Based Eating Disorder Screening

doi: 10.2105/AJPH.2014.302018

Figure Lengend Snippet: Schematic of Markov microsimulation model used to estimate the potential costs and health benefits of school-based eating disorder screening.

Article Snippet: Decision-Analytic Model We developed a Markov-based decision-analytic microsimulation model in TreeAge (TreeAge Pro Healthcare; TreeAge Software Inc, Williamstown, MA) to estimate the potential costs and health benefits of the program in the intervention (screening) and the current practice (no screening) arms of the study.

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