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SE_from_p takes beta and p, and returns an SE.
SE_from_p
SE_from_p(beta = NULL, p = NULL, SE = NULL, lower = NULL, upper = NULL)
The effect size
The p-value for the effect
Standard error
Lower CI
Upper CI
umxAPA()
Other Miscellaneous Stats Helpers: FishersMethod(), geometric_mean(), harmonic_mean(), oddsratio(), reliability(), umxCov2cor(), umxHetCor(), umxWeightedAIC(), umx_apply(), umx_cor(), umx_means(), umx_r_test(), umx_round(), umx_scale(), umx_var(), umx
FishersMethod()
geometric_mean()
harmonic_mean()
oddsratio()
reliability()
umxCov2cor()
umxHetCor()
umxWeightedAIC()
umx_apply()
umx_cor()
umx_means()
umx_r_test()
umx_round()
umx_scale()
umx_var()
umx
# NOT RUN { SE_from_p(beta = .0020, p = .780) SE_from_p(beta = .0020, p = .01) SE_from_p(beta = .0020, SE = 0.01) umxAPA(.0020, p = .01) # }
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