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Limits of Inference
practical application of data science and statistics for entrepreneurs (and everyone else)
By Clare Gollnick · Launched 2 years ago
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Overdiagnosis: why scientists and statisticians think we should test fewer people
A targeted testing strategy is the gold standard when screening for disease. This is the best practice for a reason.
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Overdiagnosis: why scientists and statisticians think we should test fewer people
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Overdiagnosis: the sensitivity of RT-PCR and impact on false negatives [1]
why false negatives aren't as much of a problem in practice
Jan 4, 2021
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Overdiagnosis: false-negatives and sensitivity of RT-PCR [1]
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Overdiagnosis: technical versus clinical false positive [2]
Whether or not a false positive is an error can depend on who you ask
Jan 4, 2021
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Overdiagnosis: technical versus clinical false positive [2]
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Overdiagnosis: how early detection changes the definition of disease itself [3]
what does it mean when disease incidence is uncorrelated with mortality. can you have cancer even if you will never be sick?
Jan 4, 2021
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Overdiagnosis: how early detection changes the definition of disease itself [3]
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The best and worst of public health
being healthy means saying yes to life
Dec 11, 2020
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The best and worst of public health
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Understanding Risk From Viral Disease
Infection is a risk factor, not a disease itself
Nov 13, 2020
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Understanding Risk From Viral Disease
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Science does not solve our problems. People do.
when we look only to scientists for solutions, we will come up short
Oct 28, 2020
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Science does not solve our problems. People do.
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Defining Success: Zero-risk is not an option
We still do have to learn to live with all viruses
Oct 28, 2020
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Defining Success: Zero-risk is not an option
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