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New Clinical Insights into Chronic Obstructive Pulmonary Disease and Their Implications for Pharmacoeconomic Analyses. (2012). Roberts, Melissa ; Mapel, Douglas .
In: PharmacoEconomics.
RePEc:spr:pharme:v:30:y:2012:i:10:p:869-885.

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  1. The Clinical and Economic Impact of Exacerbations of Chronic Obstructive Pulmonary Disease: A Cohort of Hospitalized Patients. (2014). Conti, Sara ; Mantovani, Lorenzo Giovanni ; Cesana, Giancarlo ; Blasi, Francesco ; Fornari, Carla ; Chiodini, Virginio ; Aliberti, Stefano.
    In: PLOS ONE.
    RePEc:plo:pone00:0101228.

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  27. Incorporating Psychological Predictors of Treatment Response into Health Economic Simulation Models. (2015). Basarir, Hasan ; Kruger, Jen ; Cooke, Debbie ; Pollard, Daniel ; Brennan, Alan ; Heller, Simon ; Bond, Rod ; Thokala, Praveen ; Clark, Marie.
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  29. Cost-effectiveness of primary prevention of paediatric asthma: a decision-analytic model. (2014). Severens, Johan ; Knottnerus, J. ; Ramos, G. ; Dompeling, Edward ; Asselt, Antoinette ; Maas, Tanja ; Kuiper, Sandra ; Schayck, Onno .
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  30. A Systematic and Critical Review of Model-Based Economic Evaluations of Pharmacotherapeutics in Patients with Bipolar Disorder. (2014). Mohiuddin, Syed.
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  31. Combining discrete-event simulation and system dynamics in a healthcare setting: A composite model for Chlamydia infection. (2014). Harindra, V. ; Brailsford, S. C. ; Harper, P. R. ; Viana, J..
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  33. Improving Health Outcomes Through Better Capacity Allocation in a Community-Based Chronic Care Model. (2013). Jiang, Tingting ; Samuelson, Stephen ; Iravani, Seyed ; Deo, Sarang ; Smilowitz, Karen.
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  34. Economic implications of poor access to antenatal care in rural and remote Western Australian Aboriginal communities: An individual sampling model of pregnancy. (2013). Simmer, Karen ; Newnham, John P. ; Cannon, Jeffrey W. ; Hornbuckle, Janet ; Doherty, Dorota A. ; Larson, Ann ; Mueller, Ute A..
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  35. Modeling Using Discrete Event Simulation. (2012). Karnon, Jonathan ; Mar, Javier ; Stahl, James ; Caro, Jaime J ; Brennan, Alan ; Mller, Jrgen.
    In: Medical Decision Making.
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  36. Modeling Good Research Practices€”Overview. (2012). Siebert, Uwe ; Kuntz, Karen M ; Caro, Jaime J ; Briggs, Andrew H.
    In: Medical Decision Making.
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  37. Future Impact of Various Interventions on the Burden of COPD in Canada: A Dynamic Population Model. (2012). Fitzgerald, Mark J ; Lynd, Larry D ; Sin, Don ; Marra, Carlo A ; McManus, Bruce ; Sadatsafavi, Mohsen ; Najafzadeh, Mehdi.
    In: PLOS ONE.
    RePEc:plo:pone00:0046746.

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  38. Resource planning for ambulance services in mass casualty incidents: a DES-based policy model. (2012). Schaffhauser-Linzatti, Michaela ; Rauner, Marion ; Niessner, Helmut.
    In: Health Care Management Science.
    RePEc:kap:hcarem:v:15:y:2012:i:3:p:254-269.

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  39. What happens to value of information measures as the number of decision options increases?. (2011). Barton, Pelham.
    In: Health Economics.
    RePEc:wly:hlthec:v:20:y:2011:i:7:p:853-863.

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  40. A Framework for Addressing Structural Uncertainty in Decision Models. (2011). Thompson, Simon G ; Sharples, Linda D ; Bojke, Laura ; Claxton, Karl ; Jackson, Christopher H.
    In: Medical Decision Making.
    RePEc:sae:medema:v:31:y:2011:i:4:p:662-674.

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  41. Dynamic versus static models in cost‐effectiveness analyses of anti‐viral drug therapy to mitigate an influenza pandemic. (2010). Mylius, Sido D. ; Wallinga, Jacco ; Lugner, Anna K..
    In: Health Economics.
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  42. Hospital management games: a taxonomy and extensive review. (2010). Schwarz, Sigrun ; Kraus, Markus ; Rauner, Marion.
    In: Central European Journal of Operations Research.
    RePEc:spr:cejnor:v:18:y:2010:i:4:p:567-591.

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  43. Reducing access times for an endoscopy department by an iterative combination of computer simulation and Linear Programming. (2010). Elkhuizen, S. ; Joustra, P. ; Fockens, P. ; Wit, J. ; Overbeek, B. ; Struben, V..
    In: Health Care Management Science.
    RePEc:kap:hcarem:v:13:y:2010:i:1:p:17-26.

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  44. Dynamic Policy Modeling for Chronic Diseases: Metaheuristic-Based Identification of Pareto-Optimal Screening Strategies. (2010). Gutjahr, Walter J ; Rauner, Marion S ; Heidenberger, Kurt ; Pasia, Joseph ; Wagner, Joachim.
    In: Operations Research.
    RePEc:inm:oropre:v:58:y:2010:i:5:p:1269-1286.

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  45. Simulation sample sizes for Monte Carlo partial EVPI calculations. (2010). Tappenden, Paul ; Chilcott, Jim ; Oakley, Jeremy E. ; Brennan, Alan.
    In: Journal of Health Economics.
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  46. Simulation or cohort models? Continuous time simulation and discretized Markov models to estimate cost-effectiveness. (2010). Soares, Marta ; L Canto e Castro, .
    In: Working Papers.
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  47. The cost-effectiveness of surgical instrument management policies to reduce the risk of vCJD transmission to humans. (2009). Chick, S E ; Stevenson, M D ; Chalkidou, K ; Oakley, J E.
    In: Journal of the Operational Research Society.
    RePEc:pal:jorsoc:v:60:y:2009:i:4:d:10.1057_palgrave.jors.2602580.

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  48. A tutorial on discrete-event simulation for health policy design and decision making: Optimizing pediatric ultrasound screening for hip dysplasia as an illustration. (2009). Sakkers, Ralph J. B., ; Ramwadhdoebe, Sabrina ; Stahl, James E. ; Buskens, Erik.
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    RePEc:eee:hepoli:v:93:y:2009:i:2-3:p:143-150.

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  49. Monte Carlo probabilistic sensitivity analysis for patient level simulation models: efficient estimation of mean and variance using ANOVA. (2007). Stevenson, Matt ; Madan, Jason ; O'Hagan, Anthony.
    In: Health Economics.
    RePEc:wly:hlthec:v:16:y:2007:i:10:p:1009-1023:a.

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  50. Monte Carlo probabilistic sensitivity analysis for patient level simulation models: efficient estimation of mean and variance using ANOVA. (2007). Stevenson, Matt ; Madan, Jason ; O'Hagan, Anthony.
    In: Health Economics.
    RePEc:wly:hlthec:v:16:y:2007:i:10:p:1009-1023.

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