View source: R/EmpiricalCalibrationUsingAsymptotics.R
fitNull | R Documentation |
fitNull
fits the null distribution to a set of negative controls
fitNull(logRr, seLogRr)
logRr |
A numeric vector of effect estimates on the log scale |
seLogRr |
The standard error of the log of the effect estimates. Hint: often the standard error = (log(<lower bound 95 percent confidence interval>) - log(<effect estimate>))/qnorm(0.025) |
This function fits a Gaussian function to the negative control estimates as described in Schuemie et al (2014).
An object containing the parameters of the null distribution.
Schuemie MJ, Ryan PB, Dumouchel W, Suchard MA, Madigan D. Interpreting observational studies: why empirical calibration is needed to correct p-values. Statistics in Medicine 33(2):209-18,2014
data(sccs)
negatives <- sccs[sccs$groundTruth == 0, ]
null <- fitNull(negatives$logRr, negatives$seLogRr)
null
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