#Specificity

Jennifer Gunter

My understanding is the commercial antibody test has specificity issues. California dept public health is working with several partners to get an appropriate test. 1 Remember, sensitivity and specificity matter

Natalie E. Dean, PhD

A toy example of why test sensitivity and specificity matter in serosurveys.Imagine population seroprevalence is 4%. Test sensitivity is 80%. Specificity is 99.9%. For a random sample of 3000 participants,

Scott Gottlieb, MD

ScottGottliebMD

Doctors should be aware most serology tests haven't been reviewed by FDA. Quality is highly variable, with some or perhaps many giving uncertain results. False positive rates may be inappropriately

What does it mean by #sensitivity vs #sensitivity? what are false positive rate and false negatives? How are they calculated? Here's a simple explanation [Thread] #medtwitter #tweetorial SENSITIVITY aka true

Ashish K. Jha, MD, MPH

This is an important new finding and one that requires some quick reflections. ThreadWe have all been very interested in seroprevalence studiesWhy?Because we're wondering whether the proportion of the population

Natalie E. Dean, PhD

1/7 Lots of folks trying to understand sensitivity and specificity. Maybe the most important concept to understand right now is that of POSITIVE PREDICTIVE VALUE.Given a test result is positive,

The Immunologist

eclecticbiotech

A small thread on the basic mathematics of diagnostic testing. Loosening social distancing guidelines and reopening cities/nations with the #COVID19 antibody test that we currently have may put healthy, susceptible

♥️😎😈♥️

there is no magical unifying spiritual condition that a woman who has only crushed on women has access to that a woman who has mostly crushed on women does not

Ok, so what's wrong with the confidence intervals in this preprint? Well they publish a confidence interval on the specificity of the test that runs between 98.3% and 99.9%, but

Professor Philip Nolan

A useful article. The conclusions are broadly correct, but the calculations are right only if we were randomly screening large asymptomatic populations. We mostly test people with symptoms and close

Sterling Haring

I’m commonly asked “Why don’t we just test everyone for #COVID2019 ?”I’ll explain below in this #epitwitter #medtwitter #tweetorial #thread – Please share/RT to help spread real understanding in the

Eric Feigl-Ding

’FALSE POSITIVE’ ANTIBODY CONFUSION: there are 2 different types. 1) Classical false positive rate is when true negative people test +, aka 1-Specificity. 2) Another is low POSITIVE PREDICTIVE VALUE,

michaelmina_lab

Still so much confusion about rapid antigen tests. They get compared to qPCR and bc qPCR is deemed the gold standard, they appear as “low sensitivity”To be clear, the problem

Very interesting new preprint by Eran Bendavid and colleagues reports seroprevalence estimates from Santa Clara county. Great to have seroprevalence work start to emerge, but I'd be skeptical of the

Very excited to share our latest, now out in @eLife:Golgi compartments enable controlled biomolecular assembly using promiscuous enzymes. https://elifesciences.org/articles/49573 I'm really proud of this paper. I first heard about

ShelleyPersists

Know R0If it’s 1, it continues to spread.The greater than 1, the greater it spreads. R0 for SARS-Cov-2 is abt 3.Precautions such as masks, esstl activities