MAdata

90 cases and 910 controls with random smoking covarate values and random geolocations within Massachusetts, geocoded on a Lambert projection (in meters). <code>MAmap</code> is a map of Massachusetts using the same projection.

datasets

Contains functions for mapping odds ratios, hazard ratios, or other effect estimates using individual-level data such as case-control study data, using generalized additive models (GAMs) or Cox models for smoothing with a two-dimensional predictor (e.g., geolocation or exposure to chemical mixtures) while adjusting linearly for confounding variables, using methods described by Kelsall and Diggle (1998), Webster at al. (2006), and Bai et al. (2020).  Includes convenient functions for mapping point estimates and confidence intervals, efficient control sampling, and permutation tests for the null hypothesis that the two-dimensional predictor is not associated with the outcome variable (adjusting for confounders).

Scott Bartell

MapGAM

Mapping Smoothed Effect Estimates from Individual-Level Data

MAdata function

A data frame with 1000 observations on the following 6 variables.<dl>
 <dt><code>Case</code></dt>
<dd>0 for controls, 1 for cases.</dd> <dt><code>Xcoord</code></dt>
<dd>projected X coordinate.</dd> <dt><code>Ycoord</code></dt>
<dd>projected Y coordinate.</dd> <dt><code>Smoking</code></dt>
<dd>0 for nonsmokers, 1 for smokers.</dd> <dt><code>Mercury</code></dt>
<dd>continuous variable for mercury exposure.</dd> <dt><code>Selenium</code></dt>
<dd>continuous variable for selenium exposure.</dd> 
</dl>

Format

Synthetic Case-Control Data for Massachusetts — MAdata

A data frame with 1000 observations on the following 6 variables.<dl>
 <dt><code>Case</code></dt>
<dd>0 for controls, 1 for cases.</dd>

 <dt><code>Xcoord</code></dt>
<dd>projected X coordinate.</dd>

 <dt><code>Ycoord</code></dt>
<dd>projected Y coordinate.</dd>

 <dt><code>Smoking</code></dt>
<dd>0 for nonsmokers, 1 for smokers.</dd>

 <dt><code>Mercury</code></dt>
<dd>continuous variable for mercury exposure.</dd>

 <dt><code>Selenium</code></dt>
<dd>continuous variable for selenium exposure.</dd>

 
</dl>

MAdata: Synthetic Case-Control Data for Massachusetts

Description

Usage

Arguments

Format

Details

Examples