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r = 1
Perfect positive correlation
r = -1
Perfect negative correlation
r = 0
No coorelation
Risk Ratio is measured in
Cohort
Odds Ratio is measured in
Case-Control
Error from how participants are chosen (addressed during design)
Selection Bias
Error from mismeasuring exposure/outcome (addressed during design and data collection)
Information Bias
Third variable distorts exposure-outcome link
Confounding Bias
OR or RR = 1
No association between exposure and outcome
OR or RR > 1
Exposure is associated with higher odds/risk of outcome
OR or RR < 1
Exposure is associated with lower odds/risk of outcome
Researchers just watch; no treatment given (e.g., cohort, case-control)
Observational RCT
Researchers assign treatments or exposures
Interventional RCT
Keeping participants, doctors, or researchers unaware of which group a participant is in
Blinding in RCTs
Analyze participants based on the group they were originally randomized to, regardless of whether they followed the treatment
Intent-to-Treat (ITT) Analysis
Analyzes based on what treatment they actually received
Treatment-As-Received
Ability of the instrument to measure consistently
Reliability
Extent to which a method measures what it is supposed to measure (accuracy)
Validity
Can the study measure what it sets out to measure? free of bias?
Internal validity
Is the study applicable to the rest of the world
External validity
% of people with the disease who are correctly identified
Sensitivity
% of people without the disease who are correctly identified
Specificity
% of patients who test positive actually have the disease
PPV
% of patients who tested negative actually have the disease
NPV
Non-medical factors like income, education, housing, and discrimination
Social Determinants of Health (SDOH)
Temporality (must come first)
Strength (stronger = more likely causal)
Consistency (same in many studies)
Dose-response
Plausibility
Coherence
Experiment
Analogy
Specificity (less emphasized today)
Tenants of causality