12 results
Important Biostatistics and Epidemiology Equations

Sensitivity = TP / (TP + FN) = true positives / disease
Important Biostatistics ... = Rule IN #Biostatistics ... #statistics #Epidemiology ... #specificity #PPV ... #NPV
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
Negative Predictive Value Calculation - Probability that someone with a negative test truly does not have
NegativePredictiveValue #NPV ... #Biostatistics ... #statistics #Epidemiology
The graph illustrates the differences in the onset and duration of action for various types of
The graph illustrates ... glulisine), Regular, NPH ... Peaks #Timeline #Graph
Positive Predictive Value Calculation - Probability that someone with a positive test actually has the disease

Positive
PositivePredictiveValue #PPV ... #Biostatistics ... #statistics #Epidemiology
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 is the proportion of truly diseased persons in the screened population who are identified as
Calculation #Table #PPV ... #NPV #Formulas ... #Statistics #Matrix
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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 ... PPV: proportion ... NPV: proportion ... sensitivity -> higher NPV ... #Epidemiology #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