![ɹǝʇlnoԀ pıʌɐᗡ 🚴🏻 🇺🇸 🇦🇺 🇬🇧 on Twitter: "@87biff @joshlavalleeMK From the findings in the paper is low sensitivity 0.52 relatively high specificity 8.9 Thus it's +ve likelihood ratio is 4.73 -ve ɹǝʇlnoԀ pıʌɐᗡ 🚴🏻 🇺🇸 🇦🇺 🇬🇧 on Twitter: "@87biff @joshlavalleeMK From the findings in the paper is low sensitivity 0.52 relatively high specificity 8.9 Thus it's +ve likelihood ratio is 4.73 -ve](https://pbs.twimg.com/media/EA4jO0eXoAEL36Q.jpg)
ɹǝʇlnoԀ pıʌɐᗡ 🚴🏻 🇺🇸 🇦🇺 🇬🇧 on Twitter: "@87biff @joshlavalleeMK From the findings in the paper is low sensitivity 0.52 relatively high specificity 8.9 Thus it's +ve likelihood ratio is 4.73 -ve
![statistical inference - The test statistic in the likelihood ratio test for nested linear models - Mathematics Stack Exchange statistical inference - The test statistic in the likelihood ratio test for nested linear models - Mathematics Stack Exchange](https://i.stack.imgur.com/hF6pb.png)
statistical inference - The test statistic in the likelihood ratio test for nested linear models - Mathematics Stack Exchange
![python 3.x - How to represent the parameters of Log-Likelihood Ratio from a text corpus - Stack Overflow python 3.x - How to represent the parameters of Log-Likelihood Ratio from a text corpus - Stack Overflow](https://i.stack.imgur.com/ER3dR.png)
python 3.x - How to represent the parameters of Log-Likelihood Ratio from a text corpus - Stack Overflow
![Moving beyond sensitivity and specificity: using likelihood ratios to help interpret diagnostic tests - Australian Prescriber Moving beyond sensitivity and specificity: using likelihood ratios to help interpret diagnostic tests - Australian Prescriber](https://www.nps.org.au/assets/AP/images/Fig1_Movingbeyond.png)