[R-meta] meta-analysis of mean differences with only the difference and its SD

[Martin Lobo]

thanks guido. I had thought about using the generic method of the inverse of the variance but could not find how to do it. I usually use it for OR or HR meta-analysis. The only thing I couldn't do in the forest plot is center the data column with the title. Thank you again.




Lorenzo Mart�n Lobo MTSAC, FACC, FESC
Especialista Jerarquizado en Cardiolog�a
Jefe de Dpto Enf. Cardiovasculares y Cardiometabolismo Hospital Militar Campo de Mayo.
Jefe de Cardiolog�a Hospital Militar Campo de Mayo
Ex Jefe de Unidad Coronaria Hospital Militar Campo de Mayo
Miembro Titular de la Sociedad Argentina de Cardiolog�a
Fellow American College of Cardiology
Fellow European Society of Cardiology
Ex Miembro del Area de Investigaci�n de la SAC
Ex Director del Consejo de Aterosclerosis y Trombosis de la SAC
Miembro Asesor del Consejo de Aterosclerosis y Trombosis de la SAC
Ex Director del Consejo de Epidemiolog�a y Prevenci�n Cardiovascular de la SAC

Miembro Asesor del Consejo de Epidemiolog�a y Prevenci�n Cardiovascular de la SAC


Experto en Lipidos de la Sociedad Argentina de Lipidos.
Miembro de la Sociedad Argentina de Lipidos.
Instructor de ACLS de la American Heart Association


________________________________
De: Guido Schwarzer <sc using imbi.uni-freiburg.de>
Enviado: martes, 5 de octubre de 2021 12:59
Para: Martin Lobo <mlobo4370 using hotmail.com>; r-sig-meta-analysis using r-project.org <r-sig-meta-analysis using r-project.org>
Asunto: Re: [R-meta] meta-analysis of mean differences with only the difference and its SD

Am 05.10.21 um 16:00 schrieb Martin Lobo:

> Hi Gerta, I'm sorry, I was later.
>
> I need to do a mean difference analysis. For example, there was a decrease in LDL with a drug versus a placebo. But I do not have the average value of each branch with its standard deviations. I have the difference of each branch with its confidence intervals. [...]

You can use metagen() from R package meta if you have mean differences
and CI limits. Note, you should know how the original confidence
intervals were calculated, i.e. based on normal approximation or
t-distribution, and provide the corresponding information (see attached
R code).

Best, Guido

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