It's been coming up a lot lately, so I thought I'd do a bit of a thread on CONVENIENCE SAMPLES and why they aren't great for assessing POPULATION PREVALENCE of a disease In other words - how many people have had COVID-19? 1/n
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2/n So, the basic idea here is simple. We want to know about people who have (or in this case, have had) a disease How do we find that out?pic.twitter.com/e3whaw7Xjz
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3/n The traditional method is to do a large, randomly-sampled study involving dialing up 10,000s of people across a population and surveying them + doing lots of blood tests But this is EXPENSIVE
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Replying to @GidMK
Nice thread! Would argue though, that targeted random sampling may not be that cost prohibitive. And if cost is a constraint, then it can be factored in when designing the survey - not sure what RSE would be though. See talk by former Aus statistician https://statsoc.org.au/event-3813944
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True, but the cost of convenience samples can be almost zero!
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