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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
TYPE I & TYPE II ERRORS SENSITIVITY & SPECIFICITY = SNOUT & SPIN Sensitive Tests that
Sensitive Tests that are ... Specific Tests that are ... Type2 #Errors #Biostatistics
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
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
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