10 results
Negative Predictive Value Calculation - Probability that someone with a negative test truly does not have
Negatives #NegativePredictiveValue ... #NPV #Biostatistics ... #statistics #Epidemiology
An Overview on P-Values

"The widespread use of "statistical significance" (generally interpreted as "p <= 0.05") as
widespread use of "statistical ... scientific process"-Am Statistical ... #PValues #BioStatistics
Important Biostatistics and Epidemiology Equations

Sensitivity = TP / (TP + FN) = true positives / disease
Important Biostatistics ... = Rule IN #Biostatistics ... #statistics #Epidemiology
Misinterpretation of the P-value 

P-value - Probability for a given statistical model under the null hypothesis
Probability for a given statistical ... equality of 2 statistical ... P-value implies the statistical ... Misinterpretation #biostatistics
Sensitivity is the proportion of truly diseased persons in the screened population who are identified as
PositivePredictiveValue #NegativePredictiveValue ... NPV #Formulas #Statistics
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Specificity Calculation - Probability that a test correctly identifies those without the disease (true negative rate)

Specificity
#Specificity #Biostatistics ... #statistics #Epidemiology
Sensitivity Calculation - Probability that a test correctly identifies those with the disease (true positive rate)

Sensitivity
#sensitivity #Biostatistics ... #statistics #Epidemiology
Positive Predictive Value Calculation - Probability that someone with a positive test actually has the disease

Positive
PositivePredictiveValue #PPV #Biostatistics ... #statistics #Epidemiology
This requires defining some general cutoff values for likelihood ratios.  These are admittedly arbitrary, but
#Diagnosis #Statistics ... #Relationship #Graph
It's eye-opening to realize how many tests with reasonable-appearing sensitivity or specificity will end up being
#Diagnosis #Statistics ... #Specificity #Graph