Been there, done that. The numbers don't die b/c most ppl prefer simple lies to dealing w/ complex, multifaceted problems. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1955272/ …https://www.ncbi.nlm.nih.gov/pubmed/11466119
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Replying to @ProfHayward @gorskon
Oh sure. Like people jump to the upper extreme of the ranges rather than the middle. It's kneejerk thing, I suppose
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Replying to @mloxton @ProfHayward
Alright then. Which specific estimate of deaths due to medical error do you consider most accurate and why?
@MarkHoofnagle and I will consider.1 reply 0 retweets 1 like -
Accuracy is not a term I would use in this respect. I accept Makary & Daniel to be the most current, and to be identifying the most salient issue - that of insufficient and ineffective reporting. Mean of 251,454 with a confidence interval of 210,000-400,000
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Sry, but Markey & Daniel's work is worthless misinfo. 1. Conflates adverse events w/ preventabilty 2. Does not adjust for reliability or marginal effects 3. Nonsensical causal assumptions. But just like BS partisan talking heads, it is very profitable.
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Then publish something better
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I just sent you 2 rigorous papers that explain why their research is a house of cards. Read them. I'm interested in responsive counter args (that's how science progresses). Also see the following papers that explain why their research is BS. /1https://www.ncbi.nlm.nih.gov/pubmed/11151522
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Replying to @ProfHayward @mloxton and1 reply 0 retweets 0 likes
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Neither of these address Makary et al
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Really? They demonstrate that: 1. Estimates MUST be corrected for reliability, AND 2. Attributable marginal effects. Makary does neither. Further, https://www.ncbi.nlm.nih.gov/pubmed/11151522 shows why: 3. Conflating adverse events w/ preventability is specious. Markary does that repeatedly.
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Especially #3.
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