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epidemiology calculations diagnosis statistics equations mnemonic npv ppv sensitivity formulas table calculation confusionmatrix contingency errors falsenegative falsepositive matrix type1 type2
Important Biostatistics and Epidemiology Equations Sensitivity = TP / (TP + FN) = true positives / disease
Important Biostatistics ... disease present Specificity ... Sensitivity) / Specificity ... Sensitivity vs Specificity ... = Rule IN #Biostatistics
Sensitivity is the proportion of truly diseased persons in the screened population who are identified as
Specificity is the ... #Sensitivity #Specificity ... #PositivePredictiveValue ... #NegativePredictiveValue
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 Sensitivity Specificity False-Positive False-Negative Contingency Table / confusion matrix Sensitivity refers to the test's ability to correctly
Sensitivity Specificity ... the condition Specificity ... Specificity of a ... #Sensitivity #Specificity ... ConfusionMatrix #Biostatistics
TYPE I & TYPE II ERRORS SENSITIVITY & SPECIFICITY = SNOUT & SPIN Sensitive Tests that
SENSITIVITY & SPECIFICITY ... Type2 #Errors #Biostatistics
Positive Predictive Value Calculation - Probability that someone with a positive test actually has the disease Positive
Positives #PositivePredictiveValue ... #PPV #Biostatistics
Negative Predictive Value Calculation - Probability that someone with a negative test truly does not have
Negatives #NegativePredictiveValue ... #NPV #Biostatistics
Specificity Calculation - Probability that a test correctly identifies those without the disease (true negative rate) Specificity
Specificity Calculation ... negative rate) Specificity ... TN / (FP + TN) Specificity ... = Rule IN #Specificity ... #Biostatistics
USMLE Epidemiology and Biostatistics Summary Meta-Analysis: pools data from several studies (greater power), limited by quality/bias of
Epidemiology and Biostatistics ... Specificity (rule ... FN) Higher specificity ... #Epidemiology #Biostatistics
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