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diagnosis calculations epidemiology equations mnemonic sensitivity specificity interpretation npv ppv pvalues classification ebm heads likelihoodratios misinterpretation negativepredictivevalue pitfalls positivepredictivevalue pvalue
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
P-Value Significance - Visualized in number of "heads in a row" - Jonas Obleser, PhD - https://twitter.com/jonasobleser #PValues
Significance #heads #CoinFlip ... #Biostatistics
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 Calculation - Probability that a test correctly identifies those with the disease (true positive rate) Sensitivity
#sensitivity #Biostatistics ... #statistics #Epidemiology
Specificity Calculation - Probability that a test correctly identifies those without the disease (true negative rate) Specificity
#Specificity #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
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
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