For the last practice question it took 40% of the total patients to find the number of false positives based on the specificity of the test, but wouldn't you need to know the total number of patients WITHOUT disease, not the total number screened, in order to apply specificity to find the false positive number? Because 40% of those without disease will get a falsely positive test, not 40% of all patients screened.
Thank you for putting values on the x-axis. That made these graphs a lot easier to understand.
Thank u very much... That's deep & simple... Crispy.. can't believe it's here for 1 year...
For the last practice question it took 40% of the total patients to find the number of false positives based on the specificity of the test, but wouldn't you need to know the total number of patients WITHOUT disease, not the total number screened, in order to apply specificity to find the false positive number? Because 40% of those without disease will get a falsely positive test, not 40% of all patients screened.
Great job bro ! To be honest this is the bottom line of sensitivity and specifity
Thank you very much for the great way of explaining the facts!
such a great lecture. Thank you very much!
Finally… Great job bro…