Interpreting and Utilizing Clinical Statistics
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| T:FA pooly designed study can not be statistically evaluated | show 🗑
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| T:F, A poorly appied statistical test can never be evaluated | show 🗑
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| show | Inferential Statistics
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| show | Descriptive
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| P-value and Confidence interval are used in what type of statistics | show 🗑
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| What are 2 examples of measurements that descriptive stats evaluates | show 🗑
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| show | mean
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| show | median
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| most frequently occuring number in a data set | show 🗑
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| show | range, standard deviation, standard error of the mean (SEM)
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| What measure of variability relates the sample to the population | show 🗑
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| show | yes
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| show | No
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| T:F, Causality and certainty are synonomous | show 🗑
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| What does the null hypothesis state? | show 🗑
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| What type of error is described by "A false positive" | show 🗑
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| What is a type 2 error | show 🗑
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| What type of error is seen when you reject the null when you really should have accepted it | show 🗑
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| show | Risk of experiencing a type 1 error. it is the risk we are willing to take that we will find a chance result to be significant
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| show | 5%
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| show | Flase. Both need to be established a priori
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| show | alpha
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| What is the risk of making a type 2 error | show 🗑
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| How would you calculate Beta | show 🗑
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| What is usually the normal designation for a value of beta | show 🗑
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| T:F, Hypothesis testing establishes whether the outcome of interest is due to chance alone or another factor | show 🗑
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| What is another name for hpothesis of no difference | show 🗑
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| show | increase alpha (significance level) or increase sample size OR make assumptions (specifically one sided assumptions) or reduce variability)
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| show | 2 sided test
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| show | it only tests a benefit from a certain study, but does not relay information on a downfalls. Eg. a drug is beneficial will be seen, however it if is harmful it will not be seen
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| LDL cholesteril is an example of what kind of measurement | show 🗑
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| In a normal distribution what are the percentages of information found within 1, 2, and 3 standard deviations | show 🗑
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| show | mean = 0, SD = 1
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| show | False. This will happen as the sample size INCREASES
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| show | NO. normal distribution is determined by sample size. there has to be a sample size of at least 30 to be normally distributed
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| What is the difference between parametric and nonparametric? | show 🗑
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| What is the probability of the observed result or a more extreme result occurring by chance alone | show 🗑
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| the p-value is the risk of experiencing what type of error, a fale positive or a fale negative? | show 🗑
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| show | It means that there is a less than 5% chance that what we observed was due to chance alone.
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| show | you have insufficient evidence to reject the null = accept the null hypothesis
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| show | FALSE! The p-value infers nothing about clinical significance! It relates to statistical significance!
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| show | post hoc
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| T:F, the smaller the sample size the more narrow the CI | show 🗑
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| show | small
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| show | p-value
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| show | CI
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| What is the equation used to determine relative risk reduction? | show 🗑
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| What is the equation for absolute risk reduction? | show 🗑
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| what is the equation for number needed to treat | show 🗑
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| show | the reduction of risk from 1 therapy to anoter.
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| show | absolute differences between the probabilities of the treatment even rate and control even rate
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| show | the number if subjects needed to treat over a period of time in order to see the benefits of a therapy in 1 subject
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| Which one of the following is used to make clinical decisions, NNT, ARR, RRR. | show 🗑
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| What does the number needed to harm mean | show 🗑
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| What is the equation for NNH | show 🗑
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| What is the relationship between sample size and the ability to detect a difference? | show 🗑
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