Study Designs - Chapter 7 Flashcards
(37 cards)
Observational study
does not involve any intervention, experiment or otherwise. Such a study may be one in which nature is allowed to take its course, with changes in one characteristic being studied in relation to changes in other characteristics
Experimental
exposure conditions are under the direct control of the investigator
Two types of Observational studies: Descriptive
**Descriptive: **
* distribution of disease by person, place and time
* **Little information available **on phenomena
* NO prior hypothesis about exposure (E) →outcome (O) relationships
* Hypothesis generating
* Designed only to describe existing distribution of variables; who, what, when, why, where
* Study association not causation; things are correlated,
Two types of Observational studies: Analytic
determinants of a disease by testing the hypotheses formulated from descriptive studies, with the ultimate goal of judging whether a particular exposure causes or prevents disease [association]
Testing hypothesis about exposure outcome relationship
D - Case reports
In-depth, textual description of a single patient
Describe somethign unusual to alert others
Limitations
- cases are not randomly selected
- no comparision population
- cannot test hypothesis
D - Case series
Textual or statistical analysis of cases
D - Descriptive studies based on rates
- Combine data on **population based set of cases with denominator **data
- Quantify burden of disease
** Hypothesis generating
D - Ecologoical studies
- Studies of groups
- Correlation between group measures of exposure and outcome
- unit of analysis is group
- geographical comparision
- time trend analysis
Limitations - cannot adjust well for confounders
- prone to ecological fallacy
- wide variability in summary of exposure
Analytic - Cross-sectional
- at one point in time
- snapshot
* study of prevelance - temporal sequence cannot be determined
- lenght bias (people with long duration of disease overrepresented, people with rare short duration underrepresented)
- exposure outcome relationship studied at the same time
- Has a comparision group
- impossible to ascertain temporal sequence as E & O is being studied at the same time
Limitations - short duration disease get under represented
- long duration disease get over represented
- Prevalence-incidence bias
- unsuitable to study rare outcome
Analytic - Case-Control
- has a comparision group
- outcome comes first and then we go back to find out what exposure was
Limitations
- Risk of the disease cannot be obtained because cases and control are determined by the investigator it is not a random selection, not generalizable
Analytic - Cohort
- select a cohort (a group of people)
- observe who is exposed and who is unexposed
- “wait” for the outcome of interest
- Compare the outcome among the exposed and unexposed
Hierarchy of populations
- Target pop: Largest component; results may be generalized ; iv drug users in canada
-
Source pop: Sampling frame; where do we see the iv drug users, hospitals, clinics etc.
3. Eligible pop: Intended sample, random sample of hospital and clinic where they are found
4.** study pop:** those who are eligible and said yes
Absolute must to take Incident cases in Case-Control study Why?
**Incident cases **= Researchers can be **more confident about the temporal sequence **as the new cases got exposed to something and now we see the outcome
If we select **Prevelant cases **= they already have the disease, we dont know how long ago or what is the duration, there is recall bias introduced here
The reason is that any risk
factors we may identify in a study using prevalent cases may be
related more to survival with the disease than to the development of the disease (incidence).
Primary Base for Case-Control study
Defined by the population investigator wishes to target. all cases assumed to be identifiable. e.g. population of Canada
Secondary Base for Case-Control study
if we cannot identify all the cases in the population, we first identify the cases and then define the study base, or where they came from. e.g. cases = patients treated with melanoma in UAH ; Secondary base = all patients who would have been treated in UAH if they had melanoma
Benefits of cross-sectional study and cohort study
Benefits of the repeated cross-sectional study design
* Not impacted by aging
* Better estimate of prevalence
Benefits of the **cohort study **design over the repeated crosssectional
study?
* Allows for studying temporal associations
* Allows for studying incidence
Cases
subjects who have developed the outcome of interest, have the disease
Controls
** Do not have the disease; **subjects who reflect the exposure pattern for the source population (population at risk) from which the cases arose
Neighbourhood controls
interviewers are instructed to identify
the home of a case as a starting point, and from there walk past a
specified number of houses in a specified direction and seek the
first household that contains an eligible control.
Selecting controls using Random Digit Dialing
sampling of residential phone numbers; limitations gives us the random sample of phone number not the controls not all controls have phone numebrs.
Matching in case-control studies
Matching is defined as the process of selecting the controls so that they are similar to the cases in certain
characteristics, such as age, race, sex, socioeconomic status, and
occupation. Matching may be of two types: (1) group matching (proportion of control is same s proportion of cases) and
(2) individual matching. (e.g. 45 yr old white women case is matched with 45 yr old white women contrl
case-control strength vs weakness
Strength
* Efficient for** rare diseases** and diseases with long induction and latent period. [because we already have the data with us, we are going back in time to identify the exposure]
- Can evaluate many risk factors for the same disease [many exposure could have caused the disease]
Weakness
* Inefficient for rare exposures
- Vulnerable to selection bias
- Vulnerable to information bias
- Difficult to infer temporal relationship between exposure and disease
Hospital controls
used most often cases selected from a hosptial population.
Illnesses that make ‘good hospital controls’ are those UNRELATEDto the risk factor(s) under study.
Selection of control in a case-control study
Cumulative - controls selected at the end of the specified observation period
Case cohort - controls taken at the begining of the observation period; these controls can later become cases.
**Incidence density case-control: **for each case, 1+ controls are randomly sampled from the cohort at risk at the time of an incident case event. Sampled controls can later become cases.