Adam Jacobs

speaker
114 appearances 3 recordings 1 series first heard May 2014 last heard 11 Jul

Adam Jacobs’s voice in public audio — every appearance, attributed to the second.

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So you get good data on all-cause mortality, which was their primary outcome measure.
And that's a good primary outcome measure because it's unambiguous and everybody knows it's relevant.
Yeah, so that's called confounding.
So that may explain some of the association.
And it probably does.
I don't think it's as big a deal as I first thought it was when I saw the paper.
They do an unadjusted analysis where they do not adjust for socioeconomic status.
Well, that's statistical magic, basically.
What we do is we analyse it in a statistical model.
You can do a statistical model, and this one, the thing is called Cox Proportional Hazards Regression, and that's a very widely used statistical model for...
analyzing survival data, and that allows you to just plug these confounding variables into the model.
And what it tells you is what would the effect be if all the confounding variables were the same between the people who play tennis and people who don't play tennis.
And in that analysis, they found that the people who played tennis got 10.4 more years of life expectancy than the people who didn't play tennis.
They then adjusted that for education and income and a couple of other things.
And that went down to 9.7.
That tells me maybe it's not a massively strong confounding here, which surprised me.
And when I say they've adjusted for education and income, they have, and that's a good thing to have done.
But they are quite difficult things to adjust for accurately.
They tend to come in quite broad categories.
So, you know, you might have somebody who's
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