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Cc heterogenous default
thank you joe and hello everybody i'm delighted to be asked to uh say a few words at the start of this session uh i thought that um i'll give a few remarks to introduce i squared uh it seems that some events around the beginnings of the i squared and related uh statistics they're long enough ago now and i think i'm old enough to be indulgent in nostalgia that i thought i'd make a few notes some historical notes to put the talks into a bit of context my life and meta-analysis began in the early 90s when i did my phd with ann whitehead pictured here um on one of our annual department rambles at the university of redding uh my topic was random effects metanas so i was very interested in in accounting for heterogeneity in various ways and some early work i did which i never actually published as a paper i did a little simulation study to look at the power of the test for heterogeneity and meta-analysis and i think perhaps it's probably worth stating that very beginning this session what i mean when i say the word heterogeneity in front of statisticians so in meta-analysis we have a number of studies we assume each is estimating a quantity that's similar in across studies same sort of conceptual parameter um and all i mean by edge genetic is that at least two of the studies have different underlying parameters theta is not equal to theta j for two studies i and j and what became apparent to me and it has become apparent to many people over the years is that this test facility has got some pretty poor properties in real applications and more importantly i think it just asks an interesting question it's just not feasible that two studies will be estimating the same thing uh so having disinterested background and i'll come back to my thesis later um i took an opportunity when it came up to take a job with simon thompson and doug altman and john deeks who were pi's on a an mrc grant around metanalysis of course doug and john were co-convenient of the statistical methods group at the time and they used this sort of research agenda to carve out a funded project and within it was an aim to try and find a better way to measure heterogeneity so we had lots of discussions and came up with some ideas and one of them which we thought might have some mileage something we called i squared what you can look at in two different ways either it's a kind of an easy to calculate statistic based on the usual test statistic and the number of studies uh which has a an approximate interpretation or as a pseudo parameter we're looking at the the heterogeneity variance over the total variance and so we we put this forward interestingly not many people know this but uh...
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