search for: intrcpt

...= 0.0095) tau (sqrt of the estimate of residual heterogeneity): 0.1054 Test for Residual Heterogeneity: QE(df = 17) = 43.0937, p-val = 0.0005 Test of Moderators (coefficient(s) 2): QM(df = 1) = 1.1069, p-val = 0.2928 Model Results: estimate se zval pval ci.lb ci.ub intrcpt 0.0811 0.0606 1.3380 0.1809 -0.0377 0.2000 mods 0.0473 0.0449 1.0521 0.2928 -0.0408 0.1353 Signif. codes: 0 ?***? 0.001 ?**? 0.01 ?*? 0.05 ?.? 0.1 ? ? 1 ## why only one df for the 2-level factor? ## in other words, why isn't the above model the same as the fol...

Dear colleagues, I'm conducting a meta-analysis of studies evaluating adherence of HIV-positive drug users into AIDS treatment, therefore I'm looking for some advice and syntax suggestion for running the meta-regression using proportions, not the usual OR/RR frequently used on RCT studies. Have already searched already several handbooks, R-manuals, mailing lists, professors, but... not

...ount of heterogeneity): 0.0106 tau (sqrt of the estimate of residual heterogeneity): 0.1031 Test for Residual Heterogeneity: QE(df = 18) = 1273.9411, p-val < .0001 Test of Moderators (coefficient(s) 2,3,4): QM(df = 3) = 11.0096, p-val = 0.0117 Model Results: estimate se zval pval ci.lb ci.ub intrcpt 0.4014 0.1705 2.3537 0.0186 0.0671 0.7356 * continent -0.0206 0.0184 -1.1200 0.2627 -0.0568 0.0155 approxmeanage 0.0076 0.0091 0.8354 0.4035 -0.0102 0.0254 interviewmethodcode -0.0892 0.0273 -3.2702 0.0011 -0.1426 -0.0357 ** --- Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0....

...that for animals, can I use: MixModel2<-rma(z, v.z., mods=cbind(k.plant), data=MData, subset=(Response=="Tolerance")) ? Here I get: Test of Moderators (coefficient(s) 2): QM(df = 1) = 0.0039, p-val = 0.9502 Model Results: estimate se zval pval ci.lb ci.ub intrcpt 0.4877 0.2703 1.8042 0.0712 -0.0421 1.0175 . k.plant 0.0218 0.3491 0.0624 0.9502 -0.6624 0.7060 Does this mean that there is no significant difference in effect size between plants and animals (now the intercept?) ? Or is this something completely different? I'd really appre...

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I had found the author's (Wolfgang Viechtbauer) earlier meta-analytic code in R, MiMa, useful. so I have been exploring metafor using an example dataset from MiMa. metafor provides a lot more. However, MiMa provided parameter estimates, standard errors, z values, etc. for individual moderators in the meta-analysis, but I don't see how to obtain these from metafor. Have you any help

Hi I have tryed to do the meta-regression in metafor package, but I would like to get the standardized coefficients for each variable, however in command:   Ø  res<-rma.uni (yi, vi, method="REML", mods=~cota+DL+uso+gadiente+idade, data= turbidez)   I just have the coefficients no standardized (estimate) of the multiple regression. What I need to do? Thanks Fernanda Melo

Hello metafor users, I'm using metafor to perform a single-effect summary estimate of the raw proportion of patients experiencing a post-operative complication, and I'm interested in seeing if this proportion differs between the three most commonly used surgical techniques. The software is working as expected, but I would like to double check on the interpretation of my mixed-effect model