Meta analysis forest plot funnel plot in JAMOVI

Meta analysis, generate, forest plot, funnel plot, Jamovi, technique, statistical method, combines, results, studies, estimate, pooled effect size, systematically review, analyse data, identify, determine, pooled results, pooled effect size, measure, variability, 95% confidence, homogeneity, heterogeneity test, I2, forest plot, figure, displays, descriptive data, statistical analysis, standardised effect size, sample size, standard deviation, mean, outcome, continuous variable, treatment groups, experimental groups, control group, overall effect size, continuous outcome, binary outcome scale, odd ratios, hazard ratio, mean difference, standardized mean difference, random model, fixed effect model, Cohen’s D, Hedge’s G, Glass, P-value, weight, Galbraith plot, output, line of no effect, descriptive, diamond, significant, alternative hypothesis, null, standardised effect size, standard error, funnel, distribution, bias, publications, percentage weight

[@dessie-pt4lt]

Sir, it is possible to analyze using extracted odds ratios and confidence interval data from the included studies.

[@ADITI-vs4eh]

Sir, what could be our mistake when proportions in the MAJOR package of jamovi depict - NAs in study label?

[@user-ut7cr1hb9g]

I was wondering if you could help me with something on Jamovi? With the meta-analysis, the outcome measure I am using means the lower the score, the less severe the condition is. I keep finding that the forest plots and statistical analysis are favoring the control groups, as these groups tend to have higher scores. I keep looking online and can't figure out how to solve this. Is there a way of changing this on Jamovi?