Epi Exam 3 Flashcards
null hypothesis (Ho)
- research perspective which states there will be no (true) difference between the groups being compared
- most conservative and commonly utilized
- various statistical-perspectives can be taken: superiority; non-inferiority; equivalency
3 key attributes of data measurments
- order/magnitude
- consistency of scale/equal distances
- rational absolute zero
nominal (dichotomous/binary; non-ranked; Named categories)
- NO order or magnitude
- NO consistency of scale or equal distances
are simply labeled-variables without quantitative characteristics
anything that has 2 categories
ordinal (ordered; rank-able categoreis: non-equal-distance)
- YES order or magnitude
- NO consistency of scale or equal distances
interval/ratio (order and magnitude and equal distances)
Interval: arbitrary zero value (zero doesn’t mean absence)
Ratio: absolute (rational) zero value (zero means absence of measurement value; e.g. physiological parameters)
- YES order or magnitude
- YES consistency of scale or equal distances
e.g. age in years, body weight, height, temperature
usually see units associated with this type of data
discrete data
categorized data
continuous data
continuous evenness of spacing
changing levels of measurement of data
can go down in specificity/detail of data measurement (levels) but never up
descriptive statistics
non-comparative, simple description of various elements of the study’s data
measures of central tendency (dispersion or spread)
- mean/median/mode
- minimum/maximum/range
- interquartile range (IQR)
variance
average of the squared-differences in each individual measurement value (x) and the groups’ mean (xbar)
standard deviation
square root of variance value (restores units of mean)
normally distributed graphical representation of data
- symmetrical
- mean and median are near equal
normal curve: area under the curve
- 1 SD
- 2 SD
- 3 SD
- 1 SD: 68%
- 2 SD: 95%
- 3 SD: 99.7%
positive skewed
- distribution is skewed anytime the mean differs from the median
- when mean is higher than median
- tail pointing to the right
negative skewed
- when mean is lower than median
- tail pointing to the left
kurtosis
- a measure of the extent to which observation cluster around the mean
- for a normal distribution, the value of the kurtosis statistic is 0
positive kurtosis
more clustered
negative kurtosis
less clustered
do not calculate ____ for discrete data
mean
4 questions to select the correct statistical test
- what data level is being recorded: magnitude and consistency of scale
- what type of comparison/assessment is desired: correlation; regression; survival comparison (time); group comparison
- how many groups are being compared: 2 or 3+ study groups
- is the data independent or related/paired [data from the same (paired) or different (independent) study groups]
correlation (r)
- buzz words: correlation; association/relationship
- provides a quantitative measure of the strength and direction of a relationship between variables (-1 –> +1)
partial correlation
(only for interval data/pearson correlation; with assumptions)
-a correlation that controls for confounding variables
correlation test for:
- nominal
- ordinal
- interval
- nominal: contingency coefficient
- ordinal: spearman correlation
- interval: pearson correlation (p>0.05 just means there is no linear correlation, may still be a non-linear correlation)