Hi Julie, You have clarified the data structure, but I personally still have no idea what you mean by: "Now I want to run a met-analysis for X differences associated with Y." What exactly do you mean by that? What is your research question/hypothesis? Best, Wolfgang -----Original Message----- From: R-sig-meta-analysis [mailto:r-sig-meta-analysis-bounces at r-project.org] On Behalf Of Julie Webbs Sent: Thursday, 29 August, 2019 17:00 To: Michael Dewey Cc: r-sig-meta-analysis at r-project.org Subject: Re: [R-meta] Meta analysis subgroups Dear Michael Thank you for your email. and sorry about that. I have to variables, say X and Y.?? 1. The X has two categories, let's say? a and b, so you? can calculate Mean and SD for group a and group b.? 2. The Y has two categories, let's say c and d. So you can calculate Man and SD for group a and group d. I have run a meta-analysis separately for both X and Y using the meta package.? Now I want to??run a met-analysis for? X differences associated with Y. Is it possible? or I need to consider other statistical procedures?? Here is the excel file Thank you Julie
On Thu, Aug 29, 2019 at 1:28 PM Michael Dewey <lists at dewey.myzen.co.uk> wrote:
Dear Julie Sorry bit that does not make much sense to me. See comments in-line
On 28/08/2019 21:42, Julie Webbs wrote:
Dear All I have two continuous variables and each has two categories as follows:
If they are continuous then they do not have categories so I am at a loss here.
X = a and b Y= c and d I have calculated? the standardised mean difference (SMD)? for? *X* and *Y using meta-analysis.* I want to calculate *X* differences associated with *Y*.
That also seems opaque here.
Would you please advise me how I can do it. Here is a sample of data. Thank you, Julie
I am afraid your data-set did not arrive here well since you posted in HTML and such posts get mangled when they pass through the list. It might also help if you posted an example of what the differences you are seeking would look like.
X Y Mean SD Mean SD Mean SD Mean SD a a b b c c d d 12 1 14 2 10 0.3 18 0.1 11 2 13 0.5 11 0.1 14 0.3 10 1 12 1 14 1 16 0.2