Research/Stats/Ethics Flashcards
1
Q
Sensitivity
A
- Good screeNing test but can have false positives
- Negative results are really reliable, positive results are not as reliable
- seNsitivity have reliable Negatives (CAN RULE OUT DISEASE!)
- Probability that the test will produce a true positive when used on a population with the disease
= TP / (TP + FN) —– true positives divided by everyone with the disease
2
Q
Specificity
A
- Positive results are really reliable, negative results are not as reliable
- Good Confirmatory test (to determine treatment) but can have false negatives
- sPecificity have reliable Positives
- Probability that the test will produce a true negative when used on a population without the disease
= TN / (TN + FP) —- true negatives divided by everyone without the disease
3
Q
Positive Predictive Value
A
- Probability that someone who tests positive actually has the disease and isn’t a false positive
- Most useful when the prevalence is high (PPV increases as prevalence increases)
= TP / (TP + FP)
4
Q
Negative Predictive Value
A
- Probability that someone who tests negative actually does not have the disease and isn’t a false negative
- Most useful when prevalence is low
= TN / (TN + FN)
5
Q
P value definition
A
- Chance that the null hypothesis was rejected in error
- Odds that the null was correct and the results were due to chance
6
Q
Type I error
A
- Rejected the null hypothesis in error
- Probability of a type I error is the same as the p value
7
Q
Type II error
A
- Accepted the null hypothesis in error
8
Q
Validity
A
- Whether a test actually measures what it’s intended to measure
- Internal validity reflects accuracy
- External validity reflects generalizability
9
Q
Reliability
A
- Consistence or repeatability of scores
10
Q
Intention to treat
A
- All patients remain in the original groups to which they were initially randomly assigned in the study
11
Q
Number needed to treat
A
- Number needed to treat to prevent one adverse effect
- NNT = 1 / absolute risk reduction
- Absolute risk reduction = rate in untreated group - rate in treated group
12
Q
Incidence
A
Newly diagnosed cases in a given period of time
13
Q
Prevalence
A
Total number of cases of disease existing in a population at a given time
14
Q
Standard error
A
Describes how accurate the sample mean value used in the analysis is compared to the true population mean value
15
Q
Confidence interval
A
Measure of the reliability of your result