crude.risk {blm} | R Documentation |

## Risk-exposure scatter plot

### Description

Calculates the weighted average crude risk against the average exposure level for a continuous exposure. Each point corresponds to overlapping subgroups of 20 percent of the sample ordered from lowest to highest exposure and a sliding window of 1

### Usage

```
crude.risk(formula, data, weights = NULL, na.action = na.omit)
```

### Arguments

`formula` |
formula specifying the binary outcome and the continuous covariate of interest, e.g. |

`data` |
dataframe containing the variables specified in |

`weights` |
vector of sample weights |

`na.action` |
function used for handling missing variables in the variables of |

### Details

The `crude.risk`

function is intended to explore the possible functional relationship between risk and exposure in a non-parametric way.

### Author(s)

S. Kovalchik s.a.kovalchik@gmail.com

### See Also

### Examples

```
data(aarp)
risk <- crude.risk(bladder70~redmeat,
weights = aarp$w,
data = aarp)
risk.exposure.plot(risk,
xlab = "Avg. Red Meat Consumption")
```

[Package

*blm*version 2022.0.0.1 Index]