Study Design Flashcards
2 broad types of quantitative study design
Interventional = forced allocation into study groups (RANDOMIZED)
Observational = no forced allocation to study groups (RANDOMLY SELECTED)
5 types of interventional studies in order of increasing strength of evidence
Phase 0 Phase 1 Phase 2 Phase 3 Phase 4
5 types of observational studies in order of increasing strength of evidence
Case reports/series Ecological Cross-sectional Case-control Cohort
What is a null hypothesis (H0)?
Research perspective which states there will be no (true) difference between the groups being compared
[contrast with alternative hypothesis (H1) — states there will be a true difference between the groups being compared]
What are the 3 statistical perspectives taken in interventional studies regarding the null hypothesis?
Superiority (ex: trying to prove one drug is better than another, or better than placebo)
Noninferiority (ex: trying to prove one drug is not worse than another)
Equivalency (ex: trying to prove one drug is equivalent to another)
Prospective vs. retrospective vs. ambidirectional
Prospective — outcome not yet known
Retrospective — outcome is already known
Ambidirectional — first looking retrospectively, then looking prospectively for additional outcome occurrences
What interventional and observational studies can be done in a prospective fashion?
Interventional — phases 0-4
Observational — only cohort
________ validity = generalizability/applicability of acquired information to non-study patients
_______ validity = validity of acquired information based on study methods
External
Internal
2 key questions to selecting the correct study design
- Is researcher allocating to forced intervention? (Yes=interventional, no=observational)
- For observational studies, how were groups organized? (Disease status, exposure status, common factor, large pop.)
Observational study design in which groups are organized by disease status
Case-control/nested case-control
Observational study design in which groups are organized by exposure status
Cohort
Observational study design in which groups are organized together due to a “common factor”
Cohort
Observational study design in which groups are organized based on data collected across large population
Cross-sectional
Useful study design when studying a rare disease; commonly generates an odds of exposure for each, then an odds ratio as the measure of association
Case-control
Case-control studies are customarily conducted in a _______ fashion
Retrospective
Strengths of case-control studies
Useful when diseases have low occurrence
Useful in determining associations (NOT causation)
Good for assessing multiple exposures of one outcome
Useful when disease has a long induction/latent period
Good when ethical issues limit use of interventional studies
Type of case-control studies derived out of, or conducted after, a prospective previous (or ongoing) study-type (often cohort or interventional study)
Nested case control study
Study design useful when studying a rare exposure; commonly generates the risk of disease/outcome for each, then a risk ratio/relative risk as a measure of association
Cohort study
T/F: a cohort study may not always describe how groups are allocated
True
[once cohort is selected, can divide based on exposure OR disease/outcome]
Strengths of cohort studies
Useful when exposures have low occurrence
Useful when you have a group of study subjects that can be studied to answer numerous research questions
Useful in determining associations (NOT causation)
Good for assessing multiple outcomes of one exposure
Can be conducted ambidirectional
Good for long induction/latent periods (retrospective)
Able to represent temporality (prospective)
Good when ethical issues limit use of interventional studies
Observational studies that capture health/disease and exposure statuses in a large population at the same time; aka PREVALENCE study
Cross-sectional
[information gathered represents what is occurring at a point in time/time-frame across a large population, acquired without regard to exposure or disease/outcome status]
Focuses simultaneously on disease and population characteristics, including exposures, health status, health-care utilization, etc; seeks associations (NOT causation), generatese and tests hypotheses (possible associations), and by repetition in different time periods, can be used to measure change/trends (not in same pts)
Cross-sectional studies