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Important Biostatistics and Epidemiology Equations Sensitivity = TP / (TP + FN) = true positives / disease
Important Biostatistics ... = Rule IN #Biostatistics ... #calculations #diagnosis
Likelihood Ratios - Probability Remember 2/5/10 and 15/30/45: • LR of 2 increases the probability by 15%
Probability #LRs #diagnosis ... #biostatistics
Specificity Calculation - Probability that a test correctly identifies those without the disease (true negative rate) Specificity
#Specificity #Biostatistics ... #calculations #diagnosis
Sensitivity Calculation - Probability that a test correctly identifies those with the disease (true positive rate) Sensitivity
#sensitivity #Biostatistics ... #calculations #diagnosis
Positive Predictive Value Calculation - Probability that someone with a positive test actually has the disease Positive
PositivePredictiveValue #PPV #Biostatistics ... #calculations #diagnosis
Negative Predictive Value Calculation - Probability that someone with a negative test truly does not have
NegativePredictiveValue #NPV #Biostatistics ... #calculations #diagnosis
Misinterpretation of the P-value P-value - Probability for a given statistical model under the null hypothesis
Misinterpretation #biostatistics ... #diagnosis #pitfalls
Receiver operating characteristic (ROC) curve A receiver operating characteristic curve (ROC) curve displays how well a model
#Area #Under #Biostatistics ... #Diagnosis
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 USMLE Epidemiology and Biostatistics Summary Meta-Analysis: pools data from several studies (greater power), limited by quality/bias of
Epidemiology and Biostatistics ... #Epidemiology #Biostatistics ... #calculations #diagnosis
An Overview on P-Values "The widespread use of "statistical significance" (generally interpreted as "p <= 0.05") as
#PValues #BioStatistics
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