[R-meta] Fw: Question about the metafor package
Dear Safa I am afraid your data is almost unreadable here. I suspect this may be because you posted in HTML and this is a plain text list so your e-mail gets scrambled. When you try again please consider using dput(insert_your_data_frame_name_here) and posting the result then we can read it in and see what you see. Michael
On 14/08/2020 16:26, Safa Aouinti wrote:
Dear all, I would like to generate a meta-regression using the function rma (package metafor)?with mods option and I have a question about how we can precise in mods the covariates in each group (TRT and control) ? This is an extract of my data | Study | N_TRT | N_Control | mean_TRT | SD_TRT | mean_Control | SD_Control | Age_TRT_mean | Age_TRT_SD | male_TRT_pc | Age_control_mean | Age_control_SD | male_control_pc | | [Study1, 2008] | 86 | 55 | 12.72 | 2.56 | 14.5 | 2.04 | 19.2 | 2.6 | 57 | 21.2 | 6.1 | 60 | | [Study2, 2013] | 43 | 86 | 13.4 | 0.6 | 15.3 | 0.3 | 23.5 | 3.8 | 27.9 | 29.2 | 6.7 | 46.5 | | [Study3, 2018] | 12 | 23 | 17.58 | 2.67 | 18.48 | 1.34 | 24.5 | 3.1 | 100 | 27.04 | 2.91 | 100 | | [Study4, 2015] | 675 | 264 | 31.68 | 5.3 | 33.95 | 4.48 | 18.49 | 4.25 | 57.6 | 19.77 | 4.72 | 51.5 | ........ my code is: dat1 <- escalc(measure="SMD", m1i= mean_TRT, sd1i= SD_TRT, n1i=N_TRT,? ? ? ? ? ? ? ?m2i=mean_Control, sd2i=SD_Control, n2i=N_Control, data=metadata, digits = 2) res <- metafor::rma(data = dat1,? ? ? ? ? ? ? ? ? ? yi = yi, # effect size? ? ? ? ? ? ? ? ? ? vi = vi,?? ? ? ? ? ? ? ? ? ? method = "DL",mods=~............,? ? ? ? ? ? ? ? ? ? slab = Study) I would like to precise in the meta-regression (in mods option) the age in the group TRT (Age_TRT), the age in the group control?(Age_control_pc), the percentage of males in the group TRT (male_TRT_pc) and the percentage of males in the group control (male_control_pc). Is-it possible ? or it should be treated differently ? The purpose of this meta-regression is to compare the mean difference of a medical test between two groups (treatment 'TRT' and control) and see if the age and the gender (male percentage) influence the results. Thank you in advance for your help ! Best regards.-- Safa Aouinti?Ph.D. in applied Mathematics and Statistics [[alternative HTML version deleted]]
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