SEest: Estimating standard error of the observed log-odds ratio
In RRate: Estimating Replication Rate for Genome-Wide Association Studies

Description Usage Arguments Details Value Author(s) References See Also Examples

View source: R/RRate.R

SEest implements the Woolf's method to estimate the standard error of the observed log-odds ratio.

1	SEest(n0,n1,fU,fA)

`n0`	Sample size in the control group.
`n1`	Sample size in the case group.
`fU`	Allele frequency in the control group.
`fA`	Allele frequency in the case group.

The Woolf's method to estimate the standard error of log(OR) is based on the following formula:

se(log(OR))=sqrt(1/(n0 fU(1-fU))+1/(n1 fA(1-fA))).

The estimated standard error is returned.

Wei Jiang, Jing-Hao Xue and Weichuan Yu

Maintainer: Wei Jiang <wjiangaa@connect.ust.hk>

Woolf, B. (1955). On estimating the relation between blood group and disease. Ann Hum Genet, 19(4), 251-253.

Jiang, W., Xue, J-H, and Yu, W. What is the probability of replicating a statistically significant association in genome-wide association studies?. Submitted.

RRate, repRateEst, repSampleSizeRR, repSampleSizeRR2, HLtest

##Load data
data('smryStats1')        #Example of summary statistics in 1st study
n2.0<-2000                #Number of individuals in control group
n2.1<-2000                #Number of individuals in case group

SE2<-SEest(n2.0, n2.1, smryStats1$F_U, smryStats1$F_A) #SE in replication study