evalues.RR: Compute E-value for a risk ratio or rate ratio and its...

In EValue: Sensitivity Analyses for Unmeasured Confounding and Other Biases in Observational Studies and Meta-Analyses

Description

Returns a data frame containing point estimates, the lower confidence limit, and the upper confidence limit for the risk ratio (as provided by the user) as well as E-values for the point estimate and the confidence interval limit closer to the null.

Usage

evalues.RR(est, lo = NA, hi = NA, true = 1, ...)

Arguments

est	The point estimate
lo	The lower limit of the confidence interval
hi	The upper limit of the confidence interval
true	The true RR to which to shift the observed point estimate. Typically set to 1 to consider a null true effect.
...	Arguments passed to other methods.

Examples

# compute E-value for leukemia example in VanderWeele and Ding (2017)
evalues.RR(0.80, 0.71, 0.91)

# you can also pass just the point estimate
evalues.RR(0.80)

# demonstrate symmetry of E-value
# this apparently causative association has same E-value as the above
evalues.RR(1 / 0.80)

Example output

            point lower    upper
RR       0.800000  0.71 0.910000
E-values 1.809017    NA 1.428571
            point lower upper
RR       0.800000    NA    NA
E-values 1.809017    NA    NA
            point lower upper
RR       1.250000    NA    NA
E-values 1.809017    NA    NA

EValue documentation built on Oct. 28, 2021, 9:10 a.m.