predict_df_discrete

Internal: Create a data frame for predictions (when risk factor is discrete).

Estimation and display of various types of population attributable fraction and impact fractions.  As well as the usual calculations of attributable fractions and impact fractions, functions are provided for attributable fraction nomograms and fan plots, continuous exposures, for pathway specific population attributable fractions, and for joint, average and sequential population attributable fractions.

John Ferguson

graphPAF

Estimating and Displaying Population Attributable Fractions

predict_df_discrete function

<dl><dt>riskfactor</dt>
<dd>The name of the risk factor of interest in the dataset</dd>
<dt>refval</dt>
<dd>The reference value for the risk factor</dd>
<dt>data</dt>
<dd>A dataframe containing variables used to fit the model</dd></dl>

Arguments

Internal:  Create a data frame for predictions (when risk factor is discrete). — predict_df_discrete

<dl>

<dt>riskfactor</dt>
<dd>The name of the risk factor of interest in the dataset</dd>


<dt>refval</dt>
<dd>The reference value for the risk factor</dd>


<dt>data</dt>
<dd>A dataframe containing variables used to fit the model</dd>

</dl>

predict_df_discrete: Internal: Create a data frame for predictions (when risk factor is discrete).

Description

Usage

Value

Arguments