Hordaland_data

Simulated case control dataset for 5000 cases (individuals with chronic cough) and 5000 controls

datasets

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

Hordaland_data function

A data frame with 10000 rows and 4 variables:<dl>
<dt>y</dt>
<dd>Chronic Cough, 1: Yes, 0: No</dd><dt>urban.rural</dt>
<dd>1: resident in urban setting, 0: resident in rural setting</dd><dt>smoking.category</dt>
<dd>Smoking level: 1 No smoker, 2: ex smoker, 3: 1-9 cigarettes per day, 4: 10-19 cigarettes per day, 4:&gt;= 20 cigarettes per day</dd><dt>occupational.exposure</dt>
<dd>Exposed to dust/gas at work. 1: Yes, 0: no</dd></dl>

Format

Simulated case control dataset for 5000 cases (individuals with chronic cough) and 5000 controls — Hordaland_data

A data frame with 10000 rows and 4 variables:<dl>
<dt>y</dt>
<dd>Chronic Cough, 1: Yes, 0: No</dd>

<dt>urban.rural</dt>
<dd>1: resident in urban setting, 0: resident in rural setting</dd>

<dt>smoking.category</dt>
<dd>Smoking level: 1 No smoker, 2: ex smoker, 3: 1-9 cigarettes per day, 4: 10-19 cigarettes per day, 4:&gt;= 20 cigarettes per day</dd>

<dt>occupational.exposure</dt>
<dd>Exposed to dust/gas at work. 1: Yes, 0: no</dd>



</dl>

Hordaland_data: Simulated case control dataset for 5000 cases (individuals with chronic cough) and 5000 controls

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Usage

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Format