9 results
diagnosis calculations epidemiology interpretation mnemonic pvalues sensitivity specificity area auc characteristic coinflip confusionmatrix contingency curve ebm equations errors falsenegative falsepositive
Important Biostatistics and Epidemiology Equations Sensitivity = TP / (TP + FN) = true positives / disease
Important Biostatistics ... = Rule IN #Biostatistics
TYPE I & TYPE II ERRORS SENSITIVITY & SPECIFICITY = SNOUT & SPIN Sensitive Tests that
Type2 #Errors #Biostatistics
An Overview on P-Values "The widespread use of "statistical significance" (generally interpreted as "p <= 0.05") as
#PValues #BioStatistics
Sensitivity Specificity False-Positive False-Negative Contingency Table / confusion matrix Sensitivity refers to the test's ability to correctly
ConfusionMatrix #Biostatistics
P-Value Significance - Visualized in number of "heads in a row" - Jonas Obleser, PhD - https://twitter.com/jonasobleser #PValues
heads #CoinFlip #Biostatistics
Likelihood Ratios - Probability Remember 2/5/10 and 15/30/45: • LR of 2 increases the probability by 15%
LRs #diagnosis #biostatistics
Misinterpretation of the P-value P-value - Probability for a given statistical model under the null hypothesis
Misinterpretation #biostatistics
USMLE Epidemiology and Biostatistics Summary Meta-Analysis: pools data from several studies (greater power), limited by quality/bias of
Epidemiology and Biostatistics ... #Epidemiology #Biostatistics
Receiver operating characteristic (ROC) curve A receiver operating characteristic curve (ROC) curve displays how well a model
#Area #Under #Biostatistics
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