frustrating the most obvious approach 'just univariate meta-analyze everything!'
I'm curious if you have ideas on how to deal with that.
Maybe grouping the tests into different kinds of tests and fitting a hierarchical model inside those groups? Are there similar kinds of tests?
I'm curious if you have ideas on how to deal with that.
The standard solution seems to be 'multivariate meta-analysis'. I've done a little reading on the topic, but I've had trouble getting started with it - you need to know the correlations between the multiple outcome variables, this is typically unavailable (the data-sharing problem), and I think it only works anyway if there is at least a little bit of correlation between the multiple outcomes, while I would like to be able to collectively analyze outcomes from disjoint studies which is... less clear how to do.
Modafinil is probably the most popular cognitive enhancer. LessWrong seems pretty interested in it. The incredible Gwern wrote an excellent and extensive article about it.
Of all the stimulants I tried, modafinil is my favorite one. There are more powerful substances like e.g. amphetamine or methylphenidate, but modafinil has much less negative effects on physical as well as mental health and is far less addictive. All things considered, the cost-benefit-ratio of modafinil is unparalleled.
For those reasons I decided to publish my bachelor thesis on the cognitive effects of modafinil in healthy, non-sleep deprived individuals on LessWrong. Forgive me its shortcomings.
Here are some relevant quotes:
Introduction:
Overview of effects in healthy individuals:
Adverse effects:
Abuse potential:
Conclusion:
You can download the whole thing below. (Just skip the sections on substance-dependent individuals and patients with dementia. My professor wanted them.)
Effects of modafinil on cognitive performance in healthy individuals, substance-dependent individuals and patients with dementia