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app.R

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@@ -39,15 +39,20 @@ ui <- navbarPage(
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It is particularly useful where outcomes are uncertain and the
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transition between different states can be expressed as a probability.
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This technique is frequently used in health economics to model issues
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such as the spread of an infection or disease progression. The model
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can simulate how patients move between different ", em("health states"),"
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across multiple time periods or ", em("cycles.")),
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div(img(src = "images/simple_markov-Frontpage Example.drawio.png",
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such as the spread of an infection or disease progression. The diagram
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below shows a few examples of Markov Models:"),
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div(img(src = "images/simple_markov-Frontpage.drawio.png",
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height = "350px"),
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style = "text-align: center;"),
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br(),
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p("For example the diagram above is a representation of a Markov Model
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showing the relationships between different health states."),
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p(HTML("The first example shows a model for a simple model of different
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weather states. Each type of weather represents a <em>state</em>
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and the arrows show the possible movements from one day to the
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next. The second example shows a simple model of disease
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progression. Here the <em>states</em> are represented by the
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different conditions that a patient may be in at any given time.
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There is more information on the key concepts within Markov
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modelling further on this page.")),
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br(),
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h3("How to use this App"),
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tags$hr(style = "#407EC9"),
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