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80 Cards in this Set

  • Front
  • Back
study of factors affecting the occurrence and distribution of diseases in human pop.
medical epidemiology
summarizes and evaluates data obtained from epidemiologic and other studies
biostatistics
ratio of # new cases of disorder/event to the # potential cases
incidence rate
ratio of the # of present cases of disorder/event to # of potential cases
prevalence rate
2 types of prevalence rate
point and period
# of indivs who have an illness at a specific point in time divided by # who could potentially have it on that date
point prevalence
# of indivs who have an illness during specific time period divided by # who could have it during that period
period prevalence
prevalence (P) =
incidence rate (IR) x average duration of disease process (t)
P = IR x t
2 ways a person can leave the population of prevalent cases
die or recover
compares incidence rate of disorder among individuals exposed to risk factor with incidence rate of disorder in nonexposed indivs
relative risk
relative risk is used to analyze what type of study?
cohort study
used to determine what would happen in study pop if risk factor were removed
attributable risk
AR =
IR (exposed) - IR (nonexposed)
attributable risk is used to analyze what type of study?
cohort study
odds ratio is used to analyze what type of study?
case-control study
odds ratio =
AxD/BxC
A=exposed and ill
B=nonexposed and ill
C=exposed and not ill
D=nonexposed and not ill
types of bias
selection, recall, sampling
type of bias that occurs if subjects are permitted to choose what group to be in rather than be assigned
selection
type of bias that occurs if the investigator purposely chooses which pts go into the groups
selection
type of bias that occurs if subjects who volunteer to be in study don't represent the population being studied
sampling
type of bias that occurs if knowledge of presence of disorder alters the way the subject remembers hx
recall
strategies to reduce bias
blind studies, crossover studies, randomized studies
type of study where pt doesn't know what tx he is getting
single blind
type of study where pt and evaluator don't know what tx he is getting
double blind
type of study where pts get both the placebo and real drug for certain amounts of time
crossover study
type of study where pts are randomly assigned to a group
randomized study
measures whether the results of test are similar when test is admin by a different rater or examiner
interrater reliability
measures whether the results of the test are similar when the person is tested repeatedly
test-retest reliability
measures whether the test assesses what it was designed to assess
validity
measure of the ability of test to identify people who have a disorder
sensitivity
measure of the ability of test to identify people who don't have a disorder
specificity
determines the likelihood that a person with + test has the disorder
positive predictive value
determines the likelihood that a person with - test doesn't have the disorder
negative predictive value
sensitivity =
TP / TP + FN
tests with high sensitivity can
rule out disease
specificity =
TN / TN + FP
tests with high specificity can
rule in disease
measure of % of test results that match the actual dx
predictive value
PPV =
TP / TP + FP
NPV =
TN / TN + FN
# times an event actually occurs divided by # times event can occur
clinical probability
type of incidence rate used to describe disease outbreaks
attack rate
predictive factor that affects an outcome
indep variable
outcome that reflects the effects of changing the indep variable
dependent variable
begins with subjects free of illness; determine incidence rates of illness between exposed and non-exposed
cohort study
2 types of cohort studies
prospective and historical
begins with subjects who have disorder and those who don't
case-control study
begins with info collected from group that provides snapshot in time of disease activity
cross-sectional study
summarizes the data obtained from research studies
descriptive statistics
provides a way to generalize results to entire pop by observing sample of that pop
inferential statistics
average distance of observations from their mean
standard deviation
standard deviation =
(variations squared + deviations squared) / (scores - 1), then take the square root
z score
standard normal score
difference between an indiv score and pop mean in units of standard dev
standard normal score
standard deviation divided by square root of # of scores in a sample
standard error
specifies the limits between which a given % of pop would be expected to fall
confidence interval
bell shaped curve is also called:
Gaussian distribution
what is special about a bell shaped curve?
the mean, median and mode are equal
what % of of pop score falls within 1 standard deviation of the mean
68%
degree to which the mean is resistant to random variation
precision
refers to likelihood of bias
accuracy
if the distribution is positively skewed (to the right) the tail is toward the ___ and the modal peak is toward the ___
right, left
statement based on inference, existing literature or preliminary studies that suggests a difference between 2 groups
hypothesis
hypothesis that postulates that no difference exists between 2 groups or more groups
null hypothesis
error that occurs when the null hypothesis is rejected even though it is true
type I (a) error
error that occurs when the null hypothesis is not rejected although it is false but there may not have been enough power to detect the difference
type II (b) error
chance of a type I error occurring
P (probability) value
ability to detect a difference between groups if it is truly there
power
if a P value is equal to or less than ___, it is unlikely that a type I error has been made
0.05
a P value of 0.05 or less is considered to be
statistically significant
what do the results of statistical tests indicate?
whether to reject or not reject the null hypothesis
statistical test using population parameters and usually used to id the presence of statistically significant diff b/t groups when pop is normal and sample size is lg
parametric tests
commonly used parameter tests
t-tests, analysis of variance (ANOVA) and linear correlation
refers to the degree of relationship between 2 continuous variables and can be assessed using linear correlation coeff that range b/t plus 1 and minus 1
linear correlation
commonly used nonparametric statistical tests
Wilcoxon's, Mann-Whitney, Kruschal-Wallis
statistical test used if distribution isn't normal or if sample size is small
nonparametric test
difference between the means of 2 samples
t test
differences b/t the means of more than 2 samples
analysis of variance
mutual relation b/t 2 continuous variables
correlation
diff b/t freqs in a sample and Fisher's exact probability
Chi-sq test