Dear researcher community.
I want to ask if it's possible to perform a meta-analysis in an index, I mean, in value without standard deviation. For instance, in the regression model, many indexes don't have a standard deviation.
I want to conduct a meta-analysis to compare two analysis approaches in the regression model, so I need to know if I could use a goodness index for the same research that reported the two methods. In this sense, I will have a value for n (data population), and index in a conventional regression method (control) and n (data population), and index in an alternative regression method (experimental) for several papers.
Many thanks in advance for your help.
Wilson
Dear Professor Zeynel, thanks so much for your answer.
I was trying to figure out how to apply your advice to my data, mainly because I don't be familiarized with bootstrap. Still, I can't understand how to tackle your advice.
I need to do a meta-analysis but the data to contrast the effectiveness of the regression approach don´t have standard deviation (the index is derivate to divide the standard deviation of data with was made a regression and the root mean square error of prediction in a regression). So, I don´t be able to understand how a bootstrap process could me help, because for each paper I have only one data of index for conventional and one data for an experimental regression approach.
I appreciate so much if you would like to give me more details about how you tinking that double bootstrapping could help me to estimate an sd for each paper index.
Kind regards.
Wilson
PD: I´m an R user, in case you have some paper or information that could you want to share with me.
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