Generate data for plotting survival analysis decision curves.

Decision curve analysis is a method for evaluating and comparing prediction models that incorporates clinical consequences, requires only the data set on which the models are tested, and can be applied to models that have either continuous or dichotomous results. The 'ggscidca' package adds coloured bars of discriminant relevance to the traditional decision curve. Improved practicality and aesthetics. This method was described by Balachandran VP (2015) <doi:10.1016/S1470-2045(14)71116-7>.

Qiang LIU

ggscidca

Plotting Decision Curve Analysis with Coloured Bars

Qiang Liu

dca function

<dl><dt>data</dt>
<dd>a data frame containing the variables in the model.</dd>
<dt>outcome</dt>
<dd>the outcome, response variable. Must be a variable contained within the data frame specified in data=.</dd>
<dt>predictors</dt>
<dd>the predictor variable(s). Must be a variable(s) contained within the data frame specified in data=.</dd>
<dt>probability</dt>
<dd>specifies whether or not each of the independent variables are probabilities. The default is TRUE.</dd>
<dt>xstart</dt>
<dd>starting value for x-axis (threshold probability) between 0 and 1. The default is 0.01.</dd>
<dt>xstop</dt>
<dd>stopping value for x-axis (threshold probability) between 0 and 1. The default is 0.99.</dd>
<dt>xby</dt>
<dd>increment for threshold probability. The default is 0.01.</dd>
<dt>ymin</dt>
<dd>minimum bound for graph.</dd>
<dt>harm</dt>
<dd>specifies the harm(s) associated with the independent variable(s). The default is none.</dd>
<dt>graph</dt>
<dd>specifies whether or not to display graph of net benefits. The default is TRUE.</dd>
<dt>intervention</dt>
<dd>plot net reduction in interventions</dd>
<dt>interventionper</dt>
<dd>number of net reduction in interventions per interger. The default is 100</dd>
<dt>loess.span</dt>
<dd>specifies the degree of smoothing. The default is 0.10.</dd>
<dt>smooth</dt>
<dd>specifies whether or not to smooth net benefit curve. The default is FALSE.</dd></dl>

Arguments

dca — dca

<dl>

<dt>data</dt>
<dd>a data frame containing the variables in the model.</dd>


<dt>outcome</dt>
<dd>the outcome, response variable. Must be a variable contained within the data frame specified in data=.</dd>


<dt>predictors</dt>
<dd>the predictor variable(s). Must be a variable(s) contained within the data frame specified in data=.</dd>


<dt>probability</dt>
<dd>specifies whether or not each of the independent variables are probabilities. The default is TRUE.</dd>


<dt>xstart</dt>
<dd>starting value for x-axis (threshold probability) between 0 and 1. The default is 0.01.</dd>


<dt>xstop</dt>
<dd>stopping value for x-axis (threshold probability) between 0 and 1. The default is 0.99.</dd>


<dt>xby</dt>
<dd>increment for threshold probability. The default is 0.01.</dd>


<dt>ymin</dt>
<dd>minimum bound for graph.</dd>


<dt>harm</dt>
<dd>specifies the harm(s) associated with the independent variable(s). The default is none.</dd>


<dt>graph</dt>
<dd>specifies whether or not to display graph of net benefits. The default is TRUE.</dd>


<dt>intervention</dt>
<dd>plot net reduction in interventions</dd>


<dt>interventionper</dt>
<dd>number of net reduction in interventions per interger. The default is 100</dd>


<dt>loess.span</dt>
<dd>specifies the degree of smoothing. The default is 0.10.</dd>


<dt>smooth</dt>
<dd>specifies whether or not to smooth net benefit curve. The default is FALSE.</dd>

</dl>

dca: dca

Description

Value

Arguments

Details