20 results
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
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
Negative Predictive Value Calculation - Probability that someone with a negative test truly does not have
NegativePredictiveValue #NPV #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
TYPE I & TYPE II ERRORS 

SENSITIVITY & SPECIFICITY = SNOUT & SPIN 
Sensitive Tests that
Type2 #Errors #Biostatistics
Sensitivity Specificity False-Positive False-Negative Contingency Table / confusion matrix

Sensitivity refers to the test's ability to correctly
ConfusionMatrix #Biostatistics
Likelihood Ratios - Probability
Remember 2/5/10 and 15/30/45:
 • LR of 2 increases the probability by 15%
LRs #diagnosis #biostatistics