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Add additional logOR to d transofmration  #593

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@mattansb

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@mattansb

d C o x = ln ( O R ) / 1.65

Also note that since these are linear transformations, the SE of the resulting d is the transformed SE of the log(OR).

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bwiernik

bwiernik commented on Jul 18, 2023

@bwiernik
Contributor

Where does the 1.65 come from? The standard reference for this approximate conversion is https://DOI.org/10.1002/1097-0258(20001130)19:22<3127::AID-SIM784>3.0.CO;2-M

There, based on the SD of the standard logistic distribution, it would be divide by (pi / sqrt(3)), which is approximately 1.813

mattansb

mattansb commented on Jul 18, 2023

@mattansb
MemberAuthor

We already have the 3/sqrt(pi) conversion.
1.65 is from Sánchez-Meca, et al. (2003). Effect-size indices for dichotomized outcomes in meta-analysis. Psychological methods, 8(4), 448 (citing Cox 1970).

A user (meta-analyst) emailed me asking if we might add this conversion as well.

DominiqueMakowski

DominiqueMakowski commented on Jul 18, 2023

@DominiqueMakowski
Member

Maybe qnorm(0.95)?

bwiernik

bwiernik commented on Jul 18, 2023

@bwiernik
Contributor

Let me look into it—it's not obvious to me what the theory is behind that value (and the meta-analysis literature is rife with junk conversions, so I start off skeptical)

mattansb

mattansb commented on Dec 8, 2024

@mattansb
MemberAuthor

Closing this as there seems to be no need (and also we now have an exact transformation when supplying p0).

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      Add additional logOR to d transofmration · Issue #593 · easystats/effectsize