131 results
diagnosis clinical differential pocus algorithm radiology pulmonary ultrasound management cardiology causes lung mnemonic tree ctchest calculations epidemiology hyponatremia nephrology peds
Important Biostatistics and Epidemiology Equations Sensitivity = TP / (TP + FN) = true positives / disease
Important Biostatistics ... / (TP + FN) = true ... / (FP + TN) = true ... / (TP + FP) = true ... = Rule IN #Biostatistics
Specificity Calculation - Probability that a test correctly identifies those without the disease (true negative rate) Specificity
without the disease (true ... Specificity = True ... #Specificity #Biostatistics
Sensitivity Calculation - Probability that a test correctly identifies those with the disease (true positive rate) Sensitivity
with the disease (true ... Sensitivity = True ... #sensitivity #Biostatistics
Positive Predictive Value Calculation - Probability that someone with a positive test actually has the disease Positive
Predictive Value = True ... PositivePredictiveValue #PPV #Biostatistics
Negative Predictive Value Calculation - Probability that someone with a negative test truly does not have
Predictive Value = True ... NegativePredictiveValue #NPV #Biostatistics
Misinterpretation of the P-value P-value - Probability for a given statistical model under the null hypothesis
hypothesis to be true ... Misinterpretation #biostatistics
USMLE Epidemiology and Biostatistics Summary Meta-Analysis: pools data from several studies (greater power), limited by quality/bias of
Epidemiology and Biostatistics ... tests that are true ... tests that are true ... null when it’s true ... #Epidemiology #Biostatistics
True Hyponatremia Differential Algorithm Instead (or in addition) of volume status examination, check urine sodium and serum
True Hyponatremia ... @kidney_boy #True
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
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