Message-ID: <1654DE20-6D73-4DFE-BD5D-D271863EBC23@gmail.com>
Date: 2020-09-06T14:53:21Z
From: James Pustejovsky
Subject: [R-meta] Computing treatment effects with 95%CI from a meta-regression output
In-Reply-To: <trinity-717fb885-58ce-4a94-88db-0623d4d2c6fa-1599395122324@3c-app-gmx-bap18>
The easiest thing to do is probably to simply recalculate the model after omitting the intercept term:
robu(formula = es ~ 0 + Time, data = SMD,studynum = study, var.eff.size = var,rho = .8, small = TRUE, modelweights = "CORR")
Sent from my iPhone
> On Sep 6, 2020, at 7:25 AM, Tobias Saueressig <t.saueressig at gmx.de> wrote:
>
> robu(formula = es ~ 1 + Time, data = SMD,studynum = study, var.eff.size = var,rho = .8, small = TRUE, modelweights = "CORR")