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Gems: An R package for simulating from disease progression models
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نویسنده
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blaser n. ,vizcaya l.s. ,estill j. ,zahnd c. ,kalesan b. ,egger m. ,gsponer t. ,keiser o.
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منبع
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journal of statistical software - 2015 - دوره : 64 - - کد همایش: - صفحه:1 -22
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چکیده
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Mathematical models of disease progression predict disease outcomes and are useful epidemiological tools for planners and evaluators of health interventions. the r package gems is a tool that simulates disease progression in patients and predicts the e_ect of di_erent interventions on patient outcome. disease progression is represented by a series of events (e.g.,diagnosis,treatment and death),displayed in a directed acyclic graph. the vertices correspond to disease states and the directed edges represent events. the package gems allows simulations based on a generalized multistate model that can be described by a directed acyclic graph with continuous transition-speci_c hazard functions. the user can specify an arbitrary hazard function and its parameters. the model includes parameter uncertainty,does not need to be a markov model,and may take the history of previous events into account. applications are not limited to the medical _eld and extend to other areas where multistate simulation is of interest. we provide a technical explanation of the multistate models used by gems,explain the functions of gems and their arguments,and show a sample application. © 2015,american statistical association. all rights reserved.
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کلیدواژه
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Compartmental model; Monte Carlo simulation; Multistate model; Prediction; R; Survival analysis
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آدرس
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university of bern,switzerland,institute of social and preventive medicine,university of bern,bern,3012, Switzerland, university of bern,switzerland,institute of social and preventive medicine,university of bern,bern,3012, Switzerland, university of bern, Switzerland, university of bern, Switzerland, university of bern, Switzerland, university of bern, Switzerland, university of bern, Switzerland, university of bern, Switzerland
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Authors
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