Statistics CBIC
A high sensitivity test is when a negative rules out disease - ANS-A high specificity test
is when a positive rules in disease.
A negative numbers indicates - ANS-skew to the left
A value of 0 means - ANS-there is no skew
Attack Rate - ANS-is a special form of incidence rate. Is truly not a rate. Is a proportion
of persons at risk.
# of new cases/ population at risk x100
Basic Formula for all Types of Rates - ANS-Rate= X/Y x K
Cause Specific Mortality Rate - ANS-X/Y X 100,000
Central Tendency - ANS-measures of central tendency describe how observations
cluster around a middle value and locate only the center of a distribution measure.
mean, median, mode
Confidence Interval - ANS-A sample is an estimate of the population mean. It is a point
estimate that may include some error. To compensate for this margin of error, a
calculation is performed to identify a range of possible values the pop. mean might take.
the range of values within which a population parameter is estimated to lie
to calculate a CI, the data must have a normal distribution.
Correlation - ANS-a scattergram is used.
Correlation - ANS-Calculates a value R Range +1 to - 1
A positive correlation exists as 1 variable increases.(so does the other ie: the longer a
catheter in place the greater the chance of a UTI)
A negative correlation exists as 1 variable increases; the other decreases (ie: increased
hand hygiene, results in fewer infections).
Crude Mortality Rate - ANS-X/Y X 1000=
, Fisher's exact test - ANS-used in place of the x2 when the sample size is less than 20
or any one cell in the table is less than 5.
If RR < 1 - ANS-there is a negative association (protective)
If RR=1 - ANS-There is no significant association
If RR>1 - ANS-there is a positive association (worse outcome)
If the mean is greater than the median - ANS-it has a negative skew
Incidence density rate - ANS-accounts for varying time periods of follow-up
Usually used in a cohort studies of diseases with long incubation or latency periods,
such as chronic diseases.
# of cases (during observation period) /the time each person was observed (totaled for
all persons) x 10.
inferential statistics - ANS-makes an assumption about a population based on a small
sample size and is used to show an association between cause and effect. ( ie: election
polls, medical testing, environmental monitoring)
Is P value is .05 - ANS-the the p value less than .05 would cause you to reject the null
hypothesis
Kurtosis - ANS-Measure of the fatness of the tails of a probability distribution relative to
that of a normal distribution. Indicates likelihood of extreme outcomes.
How flat or peaked a curve
Leptokuric - ANS-More peaked than normal distribution (positive numbers)
(lepto klepto, skinny people steal)
Level of Significance - ANS-The probability value arbitrarily chosen by the researcher as
the desired level of probability at which one may feel secure in rejecting the null
hypothesis.
Lurking or confounding variables - ANS-when you cannot rule out the possibility that the
observed effect is due to some other variable rather than the factor being studied
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