Prevalence
-the number of individuals with a given diseases at a given point in time divided by the population at risk for that disease at that time
incidence
-the number of new cases that have occurred during a given interval of time
Incidence proportion
-represents the average risk of disease in a population during a specific time period
point prevalence
-the proportion of individuals with a disease or characteristic at a specified point in time
people followed over a period of time will die
What is a drawback associated with using incidence rate?
strength & direction
The correlation coefficient measures what?
mean, median, mode
What are measures of central tendency?
range, standard deviation
What are measures of spread or variability?
b
Which measure of central tendency is good for skewed, ordinal data?
a) mean
b) median
c) mode
a
Which measure of central tendency is best for continuous, normally distributed data?
a) mean
b) median
c) mode
a
Which measure of central tendency is sensitive to outliers?
a) mean
b) median
c) mode
coefficient of determination
-Often used in predictive modeling, telling us the proportion of a variable explained by another variable
spearman rank order
-Often used to test correlation with ordinal, ranked nonparametric data
Pearson correlation coeffecient
-Often used for continuous parametric data
standard deviation
-Indicates how spread out the data is and to what degree the data is dispersed away from the mean (spread out over a smaller or larger range
up; down
When calculating NNT, it is best to round ______. And when calculating NNH, it is best to round _______.
Continuous variable
-does not possess gaps or interruptions characteristic of a discrete variable; can take on any value within a defined range.
discrete variable
-characterized by gaps or interruptions in the values that it can assume
nominal
-variables that can be placed into narrowly defined categories that are NOT in any particular order.
ordinal
-variables that consist of narrowly defined categories that can be ranked or logically ordered.
interval variables
-variables where a scale of ranked data represents meaningful differences between values, but lacks a defined zero point.
ratio variables
-variables where a scale of ranked data represents meaningful differences between values and has a true zero point.