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84 Cards in this Set

  • Front
  • Back
Totality of evidence
you can't just use one set of data in order to answer a research question
What is an example of EXPOSURE in a study?
the effect of EXERCISE on depression.
(exercise= exposure)
What is an example of OUTCOME in a study?
reduced risk of DEPRESSION
(depression is the outcome)
when you design a study what are 4 components that you need?
exposure, outcome, comparison group and hypothesis
What are the two types of epidemiology studies?
experimental and observational
What are the key differences between EXPERIMENTAL and OBSERVATIONAL studies?
In EXPERIMENTAL, the investigator ONLY OBSERVES the exposures

EXPERIMENTAL: he controls/manipulates the variables
What is a RANDOMIZED CONTROL TRIAL?
investigator gives cohort exposure and then studies the people (used in experimental)
What are some strengths of the RCT study?
a) theres a comparison group
b) lots of people therefore only dif. is the exposure!!
b1) and therefore you can control the exposure
c) you can know if one thing caused another (temporal)
What are some weaknesses of the RCT?
1. expensive
2. ethics
3. you can't just generalize because everyone is different
What is a QUASI-EXPERIMENTAL STUDY?
(similar to RCT)
1. Nt controlled by investigator

so you look at exposure of people but its not random and its not controlled by the investigator
Review: what are the two types of experimental studies?
RCT (random, inves. controls exposure)
QUASIexperimental (nt random or controlled by investigator)
What are key components of observational studies?
1. common
2. natural (we just observe ppl)
3. collect data and analyze
results (its supposed to be like an experimental study)
4. DESCRIPTIVE OR ANALYTIC
what are the two types of observational studies?
descriptive and analytic
what are the components of descriptive studies?
1. questions like who what where and why. (who is getting the disease and why are they getting it?)
what are the different types of descriptive studies?
1. case reports
2. cross sectional
3. corelational
what are the components of analytic studies?
questions like WHY?
what are the different types of analytic studies?
1. cohort
2. case control
what are descriptive studies used for?
1. set up study to then be used in analytic studies
2. DESCRIBE what exists in a POPULATION
3. Uses person, place, or time
What is a CASE REPORT? (and what type of study is this?)
1. MOST BASIC descriptive study
2. DETAILED report on 1 patient or a few patients
3. ******** LIMITATION: THERE IS NO COMPARISON GROUP
4. can alert people as to the relationship between exposure/outcome relationship
what is an example of a case report?
OC'S. do they cause liver cancer? maybe, but there is also NO COMPARISON GROUP!
What is a cross sectional study?
SNAPSHOT.
a. nt based on outcome or exposure status
what are some strengths of cross-sectional studies?
1. less time
2. no follow up involved
what are some limitations of a cross-sectional study?
its hard to test your hypothesis because you are not sure if the exposure causes the disease or if the disease causes the exposure (this is called a temporal relationship)
what is one way that a cross sectional study could test a hypothesis?
if the exposure can't be changed (example: if blue eyes causes depression)
ecological or correlational study
POPULATIONS!!!!!!!!!
uses data from populations to compare disease frequencies at one time or at dif. times
what are some strengths of an ecological study?
1. it is quick and inexpensive
what are some limitations of an ecological study?
1. its from a population nt an individual
2. there are other things at play here
3. these are averages
what is an analytical study? and what is its purpose?
goal: to determine an exposure outcome w.o using too many resources
An analytical study is also used to test a priori hypothesis. What is a priori hypothesis?
there are two types:
priori and ad-hoc.

priori: is testing the hypothesis
post hoc: making a hypothesis after you have already done the experiment
what is a cohort study?
self-selected exposures.
person is free of the outcome but is studied OVER TIME
What are the two types of cohort studies?
prospective and retrospective
in BOTH:
THE INVESTIGATOR STARTS W. THE EXPOSURE
what is a prospective cohort study?
only OUT COME FREE INDIVIDUALS WHO ARE AT RISK

limits: can take a long time
what is a retrospective study?
exposure and outcome occur before the study
what are some strengths of a cohort study?
1. you can differentiate temporality
2. you don't have recall bias (b/c you are assessing patients before the outcome develops)
3. you can examine lots of outcomes
what are some limitations of a cohort study?
1. you need lots of people
2. you need a lot of time
3. it is very expensive
what is a case control study?
1. both exposure and outcome have occurred at the start of the study
2. you don't even know the exposure; you are just assessing the outcome
3. the people w. the outcome come from a large population

heres what you do:
you take a population that has the outcome and ask them what their exposure was.
then you take a population that DOESN'T have the outcome and you ask what the exposure was.
what are the strengths of a case control study?
1. its good for rare outcomes
2. you can examine lots of exposures
3. better than cohort b/c you can deal w. long induction/latent period.
what are the limitations of a case control study?
1. more bias
2. you are not sure of the temporal relationship
3. its not so good if the exposure is rare
4. how do you know if you are getting the accurate exposure over the certain time period?
how should you choose your study design? what are the factors?
1. your question
2. how much you already know
3. frequency of exposure
4. frequency of outcome
5. validity and frequency considerations
6. practical and ethical concerns
When should you pick an observational study?

vs.

when should you pick an experimental study?
observational: when you want to understand prevention, treatment or etiology
be aware: this is expensive and
not ethical
experimental: when you want to understand treatment, prevention

take note: this is not expensive and it is ethical
when should you pick a cohort study?

vs.

when should you pick a case-control study?
cohort: when there is a rare exposure and not so much is known about the exposure
2. when you want to evaluate the effects of exposure


when should you pick case-control?
rare outcome
little known about outcome
want to evaluate several exposures
3. long induction, latent period
4. when the data is expensive
when should you pick prospective cohort?

when should you pick retrospective?
prospective: outcome is short latent period
2. current exposure
3. you want high quality data

retro:

1. long induction
2. historical exposure
3. limited time/resources
MEASURES OF DISEASE
HOW DO YOU QUANTIFY DISEASE OCCURANCE?
what are the factors that quantify occurrence of a disease in a population?
1. number of people
2. size of population (This is important!! because if you don't know the size of the population the data is pretty meaningless)
3. length of time that people were followed
what are some measures of morbidity? (disease burden)
1. incidence
2. prevalence
what are the two types of incidence?
1. cumulative incidence
2. incidence rate
how do you measure prevalence?
point and period
what are some measures of mortality?
1. mortality rates
2. case-fatality
3. proportionate mortality
4. years of life lost.
Measures of morbidity:
1. number of cases of the disease
incidence
occurrence of a NEW DISEASE that develops during a specific time
prevalence
measures frequency of EXISTING disease during a specific time
absolute numbers
reporting the number of cases (people w. outcome)

this is ...limited? because you don't know the population SIZE but what you can do is compare one year to the next
what are the benefits of absolute numbers?
1. its easy to do
2. its easy to understand
what are the drawbacks of absolute numbers?
1. there is no sense of scale
2. its hard to use this information because you don't know if the results are larger than expected or lower than expected (aka, is this good or bad?)
when should you use absolute numbers?
1. when populations are similar
2. when planning medical resources
FORMULA for absolute numbers
# of cases in a TIME PERIOD
------------------------------------
population size
how do you measure incidence?
people who don't have the disease but are AT RISK FOR DEVELOPING THE DISEASE
Why is incidence good?
1. because you can measure risk - the probability of an event happening

2. you can also measure cumulative incidence (proportion)

or

incidence rate (incidence density)
what is cumulative incidence?
proportion of people who are disease free who become diseased by the end of a specific time period
what is the FORMULA FOR CUMULATIVE INCIDENCE?
CI= # new cases during time period
-----------------------------------
total population AT RISK!
what are some aspects of cumulative incidence?
1. its a proportion
2. estimate the risk of a certain population
3. everyone is followed for a certain time period (it is a closed population
what is the INCIDENCE RATE?
the rate at which new cases occur in a population that is at risk for the disease
What is the FORMULA for in INCIDENCE RATE
# of new cases in a specific time
--------------------------------------
total PERSON TIME of observation
associations
to measure association you have to rule out exposure and disease
what do you need in order to be a confounding variable?
1. independent cause or predictor of disease
2. associated w. exposure
3. you need to be an intermediate
what is a confounding variable?
it a variable that explains that exposure and disease are linked through a 3rd factor
what is bias?
systematic error
what are two types of bias?
selection bias and observation bias
what is selection bias?
it is systematic error in the way participants are brought in to the study
what is observational bias?
systematic error in the way information is obtained once already in the study
what is chance?
an explanation for the data
what can you conclude if p < .05?
that it is unlikely that the results are due to chance
what about if the confidence interval includes 1?
that the results are not significant and you can explain results by saying that they were due to chance
how do you move from association to causation?
you use totality of evidence
what are some criteria that helps you know that something is causal?
1. temporality
2. strength of association
3. dose-response
4. replication
5. biology
6. consideration of other things
7. cessation of exposure
8. consistency
temporality
for an exposure to cause an outcome it has to occur before the outcome occurs
strength of relationship
the stronger the Relative Risk, the likelier the relationship is to be causal
dose response
if it is causal, the more you do it the higher the risk
replication
it should be reported in more than one study
biology
if there is a biological reason it is more likely to be causal
alternative explanations
can anything else explain the reason for this?
cessation
if you stop doing it, the outcome will decrease
consistency w. other knowledge
what do animal studies show us?
how do you find out if something is causal (what is the sequence of events?)
1. clinical observations (hypothesis)
2. available data (not ideal)
3. case control
4. cohort
5 RCT