@@ -54,10 +54,9 @@ Given this, the package enables:
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for each of the 3 model structures (given a time horizon), to evaluate
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plausibility and structural sensitivity. Additional functionality:
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- - Constraining the estimates to ensure that mortality survival is no greater than background mortality.
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-
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+ - Constraining the estimates to ensure that mortality hazards are at
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+ least as great as background morality.
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- Applying discounting to obtained discounted restricted means.
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-
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- Bootstrap standard errors can be derived.
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- Graphically illustrate observed and fitted membership probabilities,
@@ -81,7 +80,8 @@ be used for the one-piece parametric and spline modeling.
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A second vignette, ` vignette("background-mortality") ` illustrates how,
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after fitting models, estimates of restricted mean durations in health
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states can be calculated after constraining for background mortality
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- from a given life table. Projected survival in the modeled dataset is assumed to be no greater than background survival.
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+ from a given life table. This mortality is assumed to add to the
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+ mortality hazard observed in the dataset.
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## Installation
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@@ -136,4 +136,3 @@ different licenses.
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application to prognostic modelling and estimation of treatment
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effects. Statistics in Medicine 21(1):2175-2197; 2002. [ DOI:
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10.1002/sim.1203] ( https://doi.org/10.1002/sim.1203 )
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-
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