predict_df_continuous

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

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_continuous function

<dl><dt>riskfactor</dt>
<dd>The name of the risk factor of interest in the dataset</dd>
<dt>q_val</dt>
<dd>The risk quantile to match to</dd>
<dt>risk_q</dt>
<dd>Estimated risk quantiles</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 continuous). — predict_df_continuous

<dl>

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


<dt>q_val</dt>
<dd>The risk quantile to match to</dd>


<dt>risk_q</dt>
<dd>Estimated risk quantiles</dd>


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

</dl>

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

Description

Usage

Value

Arguments