crude.risk {blm} | R Documentation |
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
crude.risk(formula, data, weights = NULL, na.action = na.omit)
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 |
The crude.risk
function is intended to explore the possible functional relationship between risk and exposure in a non-parametric way.
S. Kovalchik s.a.kovalchik@gmail.com
data(aarp)
risk <- crude.risk(bladder70~redmeat,
weights = aarp$w,
data = aarp)
risk.exposure.plot(risk,
xlab = "Avg. Red Meat Consumption")