HE300: Epi Test 2

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88 Terms

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Sampling allows us to make _______ about the population

Inferences

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What is internal validity?

Ensuring the sample is representative of the population

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What is external validity?

Ensuring that the results of a study can be applied to the population

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What are the 3 types of sampling? What do they mean?

  1. Random - every person has an EQUAL chance of being selected

  2. Probability - every person has a KNOWN chance of being selected

  3. Convenience - non-random sampling


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Observational vs. Experimental: Which has more potential bias?

Observational W

Observational vs. Experimental:

Observational vs. Experimental: h

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Observational vs. Experimental: Which has better controlling of confounders?

Experimental

Observational vs. Experimental:

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Observational vs. Experimental: Which can study causes of disease AS WELL AS prevention and treatment?

Observational

Observational vs. Experimental:

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Observational vs. Experimental: Which is better at making causal associations?

Experimental

Observational vs. Experimental:

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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:

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Observational vs. Experimental: Which do you choose?

  • the question involves the cause of disease

  • moderate or large effect expected


Observational alidiV

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Validity: the absence of _____ and _______

Bias; confounders reP

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Precision: the absence of _____ ______

Random error

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What is the placebo effect?

Sometimes taking placebo can relieve severe, unpleasant symptoms Hat is the HawthorneW

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What is the Hawthorne effect?

People have the tendency to change their behaviour when they know they are being observed

15
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Define the study population

Those being considered for enrolment

16
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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


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What is randomization? Why do we do it?

Randomization is the process of randomly assigning study participants into the treatment of control group

  1. makes sure of unbiased assignment

  2. makes sure the groups are comparable, confounders will be evenly distributed between groups HaW


18
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What are the 3 levels of masking?

  1. Single masked: participants do not know which group they are in

  2. Double-masking: participants and those giving treatment are unaware

  3. triple-masking: Participants, those giving treatment, and those monitoring effects are masked


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What is the primary outcome of an experimental trial?

The main outcome the trial is designed to evaluate hW

20
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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

21
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In a crossover experimental trial, a _______ period must happen to ensure results are valid

Washout period

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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

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Unplanned crossovers are a form of ___-_________

Non-compliance ntentionI

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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

25
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Why do we use ITT analysis?

Keeps randomization and power, shows effectivenesshW

26
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What does an efficacy analysis compare?

Those who actually took treatment A vs. those who actually took treatment B hW

27
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What are the consequences of non-compliance?

Shrinks the observed difference between groups and reduces statistical power FI

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If you anticipate a smaller difference between the treatment and comparison groups, what sample size should you use?

LARGE sample sizeW

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_____ ____ depends on the acceptable probability of statistical errors (alpha and beta)

Sample size

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Too small of a sample can produce null results because ______ is too low

POWER HaW

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What is a type I error (p = alpha)

Concluding that the treatments do differ when they do not

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What is a type II error (p = beta)

Concluding that the treatments do not differ from each other when they do P

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Power = 1 - beta. What does power represent?

Probability of correctly concluding treatments differ

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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

35
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What does effectiveness tell us?

How well a treatment works in “real-life” situations

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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


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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


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New Drug Trials: Phase 1 tests for what?

Safety and pharmacology

New Drug Trials:

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New Drug Trials: Phase 1 find the what?

Maximally tolerated dose

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New Drug Trials: What does Phase 2 test for?

Preliminary efficacy; safety and side-effect data

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New Drug Trials: Phase 3 compares what?

Compares new treatment with standard of care

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New Drug Trials: Phase 4 surveils what?

Post-market surveillance; finds rare and long-term effects

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New Drug Trials: Randomization is only ethical when we have ________

Equipoise

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What common purpose do placebos and masking serve?

Unbiased outcome assessment

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ITT analysis preserves ________

Randomization

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What is absolute risk?

Incidence in a group on its own

47
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What is relative risk?

Risk in one group compared to another group

48
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What type of studies calculate RR?

  • Cohort studies

  • Trials


49
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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


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What types of studies calculate OR?

Case-control (major), cohort (minor)

51
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What is a discordant pair?

One where the case and control differ in exposure


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What is a concordant pair?

One where the case and control share exposure history

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When completing matched analysis, (concordant/discordant) pairs are excluded from OR calculation

Concordant

54
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Additive measures ask how much disease could be _______ by _______ an exposure

Prevented; removing

55
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What is attributable risk?

Amount of proportion of disease incidence that be attributed to a specific exposure

56
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RR and OR measure _______, AR measures _______ _______

  • Strength

  • Excess burden


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What is bias?

Systematic error by the investigator in design and/or conduct

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What is confounding?

Natural mixing of effects with a third variable

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What is random error?

Error by chance

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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


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What is selection bias?

That which results from differences between those who take part in a study and those who do not

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What is control selection bias?

Controls don’t reflect the source population’s exposure

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What is self-selection bias?

Participation or refusal related to both exposure and disease

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What is differential surveillance diagnosis or referral?

Cases found or referred differentially by exposure

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What is differential loss to follow up?

Drop-out related to other exposure and outcome

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Healthy worker effect

Working population compared with a general population that includes the ill, working population performs better

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What is recall bias?

Cases and controls recall past exposures differently

  • common in retrospective studies


68
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What is interviewer bias?

Information is solicited, recorded, or interpreted differently by disease or exposure status

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What is misclassification?

When cases are identified as controls and vice versa

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What are the types of information bias?

  • Recall bias

  • Interviewer bias

  • Misclassification


71
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What are the two types of misclassification?

Differential: rate of misclassification differs between groups

Non-differential: same degree of misclassification between group

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What direction does differential misclassification pull the results?

Can pull in either direction, away, or towards the null

73
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What is the counterfactual theory?

The idea that attributing causation requires the counterfactual; if the exposed group were unexposed their risk would be different

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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


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What is the difference between a mediator and a confounder?

A mediator is a step in the causal pathway

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What is confounding by education?

Treatment is given because of a condition, and the condition itself affects the outcome

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What is confounding by severity?

Sicker patients are more likely to get the treatment

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How do you control confounding in the design?

  • Randomization

  • Restriction

  • Matching


79
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How do you control confounding in the analysis?

  • Stratification

  • Standardization

  • Multivariable analysis


80
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What is random error?

A false association arising from chance

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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)


82
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Confidence interval: (narrow/wide) interval = precise

Narrow

83
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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

84
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Confounding asks if the ____ _____ is distorted?

Crude-estimate

85
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Confounding asks if the ___-specific and ______ estimates differ from the crude?

  • Strata

  • Adjusted


86
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Effect modification asks if the ________ differs across levels of the third variable

Association

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Effect modifiers: What is synergy?

The third variable increases the effect of the exposure

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Effect modifiers: What is antagonism?

The effect modifier diminishes or eliminates the effect of the exposure