crude.risk: Risk-exposure scatter plot

In blm: Binomial Linear Regression

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. y~x
data	dataframe containing the variables specified in formula
weights	vector of sample weights
na.action	function used for handling missing variables in the variables of formula and weights

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 [e-mail]

See Also

risk.exposure.plot

Examples

data(aarp)

risk <- crude.risk(bladder70~redmeat,
		  weights = aarp$w,
		  data = aarp)

risk.exposure.plot(risk,
		   xlab = "Avg. Red Meat Consumption")

blm documentation built on Sept. 12, 2022, 9:05 a.m.