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Dive into the research topics where Douglas C. A. Taylor is active.

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Featured researches published by Douglas C. A. Taylor.


Frontiers in Oncology | 2012

Comparative Cost-Effectiveness of Stereotactic Body Radiation Therapy Versus Intensity-Modulated and Proton Radiation Therapy for Localized Prostate Cancer

Anju Parthan; Narin Pruttivarasin; Diane Davies; Douglas C. A. Taylor; Vivek Pawar; Akash Mph Bijlani; Kristen Hassmiller Lich; Ronald C. Chen

OBJECTIVE To determine the cost-effectiveness of several external beam radiation treatment modalities for the treatment of patients with localized prostate cancer. METHODS A lifetime Markov model incorporated the probabilities of experiencing treatment-related long-term toxicity or death. Toxicity probabilities were derived from published sources using meta-analytical techniques. Utilities and costs in the model were obtained from publicly available secondary sources. The model calculated quality-adjusted life expectancy and expected lifetime cost per patient, and derived ratios of incremental cost per quality-adjusted life year (QALY) gained between treatments. Analyses were conducted from both payer and societal perspectives. One-way and probabilistic sensitivity analyses were performed. RESULTS Compared to intensity-modulated radiation therapy (IMRT) and proton beam therapy (PT), stereotactic body radiation therapy (SBRT) was less costly and resulted in more QALYs. Sensitivity analyses showed that the conclusions in the base-case scenario were robust with respect to variations in toxicity and cost parameters consistent with available evidence. At a threshold of


International Journal of General Medicine | 2011

Epidemiology, survival, and costs of localized gastrointestinal stromal tumors.

Jaime L Rubin; Myrlene Sanon; Douglas C. A. Taylor; John Coombs; Vamsi Bollu; Leornardo Sirulnik

50,000/QALY, SBRT was cost-effective in 75% and 94% of probabilistic simulations compared to IMRT and PT, respectively, from a payer perspective. From a societal perspective, SBRT was cost-effective in 75% and 96% of simulations compared to IMRT and PT, respectively, at a threshold of


PharmacoEconomics | 2010

Methods of Model Calibration: Observations from a Mathematical Model of Cervical Cancer

Douglas C. A. Taylor; Vivek Pawar; Denise Kruzikas; Kristen E. Gilmore; Ankur Pandya; Rowan Iskandar; Milton C. Weinstein

50,000/QALY. In threshold analyses, SBRT was less expensive with better outcomes compared to IMRT at toxicity rates 23% greater than the SBRT base-case rates. CONCLUSION Based on the assumption that each treatment modality results in equivalent long-term efficacy, SBRT is a cost-effective strategy resulting in improved quality-adjusted survival compared to IMRT and PT for the treatment of localized prostate cancer.


PharmacoEconomics | 2012

Incorporating Calibrated Model Parameters into Sensitivity Analyses

Douglas C. A. Taylor; Vivek Pawar; Denise Kruzikas; Kristen E. Gilmore; Myrlene Sanon; Milton C. Weinstein

Purpose: The aim of this study is to examine the epidemiologic and economic burden in surgically resected localized gastrointestinal stromal tumor (GIST) patients versus age- and gender-matched controls. Method: Two data sources were used to conduct a series of complementary analyses. First, the Surveillance, Epidemiology, and End Results (SEER) cancer registry was used to identify diagnosed GIST patients from 1993 to 2002 and determine incidence, prevalence, and 3-year survival. Second, using the SEER–Medicare linked database, a matched case-control analysis was conducted to determine resource utilization, GIST recurrence, and costs. Because GIST recurrence is not explicitly defined in the database, patterns in resource use were used to identify probable recurrence. Kaplan–Meier Sample Average (KMSA) Estimator technique was used to estimate costs of GIST and recurrence. Results: SEER registry results show over the 10-year time horizon average annual GIST incidence was 0.32 per 100,000 persons in the United States, 15-year limited-duration prevalence was 1.62 per 100,000 persons, and 3-year survival was 73%. A total of 292 GIST patients were included in the SEER–Medicare analyses; 35 were identified with probable recurrence. GIST patients had increased risk of mortality (hazard ratio: 1.23; 95% confidence intervals: 0.94–1.61) compared to controls. Median recurrence-free and postrecurrence survival was 45 and 46 months, respectively. GIST patients incurred significantly higher medical care costs in the first year after initial resection, with


PharmacoEconomics | 2010

Cost effectiveness of intensive lipid-lowering treatment for patients with congestive heart failure and coronary heart disease in the US.

Virginia M. Rosen; Douglas C. A. Taylor; Hemangi Parekh; Ankur Pandya; David R. Thompson; Andreas Kuznik; David D. Waters; Michael Drummond; Milton C. Weinstein

23,221 attributable to GIST. GIST recurrence costs totaled


Value in Health | 2009

Budgetary Impact of Varenicline in Smoking Cessation in the United Kingdom

Douglas C. A. Taylor; Paula Chu; Virginia M. Rosen; Christine L. Baker; David R. Thompson

101,700 over 5 years after initial resection. Conclusions: GIST is associated with substantial medical care costs, estimated recurrence costs more than


Journal of Medical Economics | 2014

Primary vs secondary prophylaxis with pegfilgrastim for the reduction of febrile neutropenia risk in patients receiving chemotherapy for non-Hodgkin's lymphoma: cost-effectiveness analyses.

Gregory Hill; Richard Barron; Kelly Fust; Michelle Skornicki; Douglas C. A. Taylor; Milton C. Weinstein; Gary H. Lyman

100,000; treatments that delay or reduce recurrence could substantially reduce the burden of GIST.


Journal of Medical Economics | 2013

Cost-effectiveness of 3-years of adjuvant imatinib in gastrointestinal stromal tumors (GIST) in the United States

Myrlene Sanon; Douglas C. A. Taylor; Anju Parthan; John Coombs; Marc Paolantonio; Medha Sasane

Background: Mathematical models are commonly used to predict future benefits of new therapies or interventions in the healthcare setting. The reliability of model results is greatly dependent on accuracy of model inputs but on occasion, data sources may not provide all the required inputs. Therefore, calibration of model inputs to epidemiological endpoints informed by existing data can be a useful tool to ensure credibility of the results.Objective: To compare different computational methods of calibrating a Markov model to US data.Methods: We developed a Markov model that simulates the natural history of human papillomavirus (HPV) infection and subsequent cervical disease in the US. Because the model consists of numerous transition probabilities that cannot be directly estimated from data, calibration to multiple disease endpoints was required to ensure its predictive validity. Goodness of fit was measured as the mean percentage deviation of model-predicted endpoints from target estimates. During the calibration process we used the manual, random and Nelder-Mead calibration methods.Results: The Nelder-Mead and manual calibration methods achieved the best fit, with mean deviations of 7% and 10%, respectively. Nelder-Mead accomplished this result with substantially less analyst time than the manual method, but required more intensive computing capability. The random search method achieved a mean deviation of 39%, which we considered unacceptable despite the ease of implementation of that method.Conclusions: The Nelder-Mead and manual techniques may be preferable calibration methods based on both performance and efficiency, provided that sufficient resources are available.


Value in Health | 2011

Calibrating Longitudinal Models to Cross-Sectional Data: The Effect of Temporal Changes in Health Practices

Douglas C. A. Taylor; Vivek Pawar; Denise Kruzikas; Kristen E. Gilmore; Ankur Pandya; Rowan Iskandar; Milton C. Weinstein

AbstractObjective: The aim of this study was to examine how calibration uncertainty affects the overall uncertainty of a mathematical model and to evaluate potential drivers of calibration uncertainty. Methods: A lifetime Markov model of the natural history of human papillomavirus (HPV) infection and cervical disease was developed to assess the cost effectiveness of a hypothetical HPV vaccine. Published data on cervical cancer incidence and mortality and prevalence of pre-cursor lesions were used as endpoints to calibrate the age- and HPV-type-specific transition probabilities between health states using the Nelder-Mead simplex method of calibration. A conventional probabilistic sensitivity analysis (PSA) was performed to assess uncertainty in vaccine efficacy, cost and utility estimates. To quantify the uncertainty around calibrated transition probabilities, a second PSA (calibration PSA) was performed using 25 distinct combinations of objective functions and starting simplexes. Results: The initial calibration produced an incremental cost-effectiveness ratio (ICER) of


Journal of Medical Economics | 2015

Economic evaluation of linaclotide for the treatment of adult patients with irritable bowel syndrome with constipation in the United States

Huan Huang; Douglas C. A. Taylor; Robyn T. Carson; Phil Sarocco; Mark Friedman; Michael Munsell; S.I. Blum; Joseph Menzin

US4300 per QALY for vaccination compared with no vaccination, and the conventional PSA gave a 95% credible interval of dominant to

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Robyn T. Carson

Forest Research Institute

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David R. Thompson

Queen's University Belfast

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P. Sarocco

Ironwood Pharmaceuticals

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S.I. Blum

Forest Research Institute

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