Notes in 05 Evaluating Drug Study Results

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Published	09/23/2023	The most important statistics to consider when thinking about implementing a treatment clinically are {{c1::NNT}} and {{c1::NNH}}
Published	09/23/2023	NNT can be calculated as {{c1::1/ARR}}
Published	09/23/2023	To Calculate the ARR we must first calculate the {{c1::EER}} & {{c1::CER}}
Published	09/23/2023	Statistical Significance can be determined by either {{c1::P-values}} or {{c1::Confidence Intervals}}
Published	09/23/2023	A {{c1::Null}} Hypothesis states that there is no difference between groups
Published	09/23/2023	An {{c1::Alternative Two-Sided}} Hypothesis states that there is a difference between the 2 groups
Published	09/23/2023	{{c1::P-value}} is defined as the probability of the difference in groups occuring if the null hypothesis is correct
Published	09/23/2023	The {{c1::lower::lower or higher}} the P-value the less likely data is to have occurred by chance alone
Published	09/23/2023	{{c1::Alpha}} measures the risk of type 1 error
Published	09/23/2023	A {{c1::Confidence Interval}} is a range of plausible values that will likely contain the data point
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