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Sampling allows us to make _______ about the population
Inferences
What is internal validity?
Ensuring the sample is representative of the population
What is external validity?
Ensuring that the results of a study can be applied to the population
What are the 3 types of sampling? What do they mean?
Random - every person has an EQUAL chance of being selected
Probability - every person has a KNOWN chance of being selected
Convenience - non-random sampling
Observational vs. Experimental: Which has more potential bias?
Observational W
Observational vs. Experimental:
Observational vs. Experimental: h
Observational vs. Experimental: Which has better controlling of confounders?
Experimental
Observational vs. Experimental:
Observational vs. Experimental: Which can study causes of disease AS WELL AS prevention and treatment?
Observational
Observational vs. Experimental:
Observational vs. Experimental: Which is better at making causal associations?
Experimental
Observational vs. Experimental:
Observational vs. Experimental: Which do you choose?
question involves prevention or treatment
small effect expected
ethical, feasible, have money available
Experimental trial
Observational vs. Experimental:
Observational vs. Experimental: Which do you choose?
the question involves the cause of disease
moderate or large effect expected
Observational alidiV
Validity: the absence of _____ and _______
Bias; confounders reP
Precision: the absence of _____ ______
Random error
What is the placebo effect?
Sometimes taking placebo can relieve severe, unpleasant symptoms Hat is the HawthorneW
What is the Hawthorne effect?
People have the tendency to change their behaviour when they know they are being observed
Define the study population
Those being considered for enrolment
What are some differences between historical controls and non-random controls?
Historical
chosen from a point in the past
records patients with the same disease
Non-random
controls are chosen at the same time as treatment grouphW
assignment is not random
What is randomization? Why do we do it?
Randomization is the process of randomly assigning study participants into the treatment of control group
makes sure of unbiased assignment
makes sure the groups are comparable, confounders will be evenly distributed between groups HaW
What are the 3 levels of masking?
Single masked: participants do not know which group they are in
Double-masking: participants and those giving treatment are unaware
triple-masking: Participants, those giving treatment, and those monitoring effects are masked
What is the primary outcome of an experimental trial?
The main outcome the trial is designed to evaluate hW
What is ‘blocking’? What is stratification?
Blocking: randomizing in set blocks (e.g. 10) to ensure group sizes stay equal
Stratification: separating participants based on a key confounder, then randomizing within the stratum
In a crossover experimental trial, a _______ period must happen to ensure results are valid
Washout period
What type of experimental design inv solves two or more treatments being tested in the same group, using two or more rounds of randomization?
Factorial design
Unplanned crossovers are a form of ___-_________
Non-compliance ntentionI
Intenion-to-treat analysis compares everyone in treatment 1 group with those of treatment 2 group, regardless of what?
Regardless of who actually took the treatment
Why do we use ITT analysis?
Keeps randomization and power, shows effectivenesshW
What does an efficacy analysis compare?
Those who actually took treatment A vs. those who actually took treatment B hW
What are the consequences of non-compliance?
Shrinks the observed difference between groups and reduces statistical power FI
If you anticipate a smaller difference between the treatment and comparison groups, what sample size should you use?
LARGE sample sizeW
_____ ____ depends on the acceptable probability of statistical errors (alpha and beta)
Sample size
Too small of a sample can produce null results because ______ is too low
POWER HaW
What is a type I error (p = alpha)
Concluding that the treatments do differ when they do not
What is a type II error (p = beta)
Concluding that the treatments do not differ from each other when they do P
Power = 1 - beta. What does power represent?
Probability of correctly concluding treatments differ
What does percent reduction in risk tell us?
Tells us the extent of the reduction in disease by the use of the vaccine in the experiment
What does effectiveness tell us?
How well a treatment works in “real-life” situations
What does NNT represent? How do you round NNT?
Number of patients who would be needed to be treated in order to prevent one adverse outcome (e.g. death)
round UP to nearest integer
What is NNH? How do you round NNH?
Number of patients needed to be treated in order for one adverse outcome to occur
round DOWN to the nearest integer
New Drug Trials: Phase 1 tests for what?
Safety and pharmacology
New Drug Trials:
New Drug Trials: Phase 1 find the what?
Maximally tolerated dose
New Drug Trials: What does Phase 2 test for?
Preliminary efficacy; safety and side-effect data
New Drug Trials: Phase 3 compares what?
Compares new treatment with standard of care
New Drug Trials: Phase 4 surveils what?
Post-market surveillance; finds rare and long-term effects
New Drug Trials: Randomization is only ethical when we have ________
Equipoise
What common purpose do placebos and masking serve?
Unbiased outcome assessment
ITT analysis preserves ________
Randomization
What is absolute risk?
Incidence in a group on its own
What is relative risk?
Risk in one group compared to another group
What type of studies calculate RR?
Cohort studies
Trials
OR=RR when…
When disease is rare
When the cases represent all cases in the population
When the controls represent all without the disease who have been exposed in the population
What types of studies calculate OR?
Case-control (major), cohort (minor)
What is a discordant pair?
One where the case and control differ in exposure
What is a concordant pair?
One where the case and control share exposure history
When completing matched analysis, (concordant/discordant) pairs are excluded from OR calculation
Concordant
Additive measures ask how much disease could be _______ by _______ an exposure
Prevented; removing
What is attributable risk?
Amount of proportion of disease incidence that be attributed to a specific exposure
RR and OR measure _______, AR measures _______ _______
Strength
Excess burden
What is bias?
Systematic error by the investigator in design and/or conduct
What is confounding?
Natural mixing of effects with a third variable
What is random error?
Error by chance
Which direction does random error push the result? Which direction does systematic error push the result?
Can be either direction
Pushes result in one direction
What is selection bias?
That which results from differences between those who take part in a study and those who do not
What is control selection bias?
Controls don’t reflect the source population’s exposure
What is self-selection bias?
Participation or refusal related to both exposure and disease
What is differential surveillance diagnosis or referral?
Cases found or referred differentially by exposure
What is differential loss to follow up?
Drop-out related to other exposure and outcome
Healthy worker effect
Working population compared with a general population that includes the ill, working population performs better
What is recall bias?
Cases and controls recall past exposures differently
common in retrospective studies
What is interviewer bias?
Information is solicited, recorded, or interpreted differently by disease or exposure status
What is misclassification?
When cases are identified as controls and vice versa
What are the types of information bias?
Recall bias
Interviewer bias
Misclassification
What are the two types of misclassification?
Differential: rate of misclassification differs between groups
Non-differential: same degree of misclassification between group
What direction does differential misclassification pull the results?
Can pull in either direction, away, or towards the null
What is the counterfactual theory?
The idea that attributing causation requires the counterfactual; if the exposed group were unexposed their risk would be different
What are the three criteria for a confounder?
must NOT be an intermediate step
related to the exposure
an independent cause or predictor of the outcome
What is the difference between a mediator and a confounder?
A mediator is a step in the causal pathway
What is confounding by education?
Treatment is given because of a condition, and the condition itself affects the outcome
What is confounding by severity?
Sicker patients are more likely to get the treatment
How do you control confounding in the design?
Randomization
Restriction
Matching
How do you control confounding in the analysis?
Stratification
Standardization
Multivariable analysis
What is random error?
A false association arising from chance
What are the two types of random error?
measurement error (inexact assessment of exposure or disease
sampling variability (unrepresentative sampling by the luck of the draw)
Confidence interval: (narrow/wide) interval = precise
Narrow
What is effect measure modification?
The strength (or direction) of the association between an exposure and disease differs according to the level of the third variable, the effect modifier
Confounding asks if the ____ _____ is distorted?
Crude-estimate
Confounding asks if the ___-specific and ______ estimates differ from the crude?
Strata
Adjusted
Effect modification asks if the ________ differs across levels of the third variable
Association
Effect modifiers: What is synergy?
The third variable increases the effect of the exposure
Effect modifiers: What is antagonism?
The effect modifier diminishes or eliminates the effect of the exposure