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

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

Enviado: martes, 5 de octubre de 2021 12:59
Para: Martin Lobo <mlobo4370 at hotmail.com>; r-sig-meta-analysis at r-project.org <r-sig-meta-analysis at 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