Biostat Flashcards

1
Q

Case-Control Study

A

Compare a group of people WITH disease to a group WITHOUT disease, looking for PRIOR exposure or risk factor. “What happened?”

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2
Q

Cohort Study

A

Compares a group WITH a given exposure or risk factor to a group WITHOUT such exposure, looking to see if an exposure INCREASED the likelihood of disease. “Who will develop disease?” or “Who developed the disease?”

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3
Q

Cross-sectional Study

A

Collects data from a group of people to assess the FREQUENCY of disease and related risk factors at a particular point in time. “What is happening?”

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4
Q

Phase I clinical trial

A

Small number of HEALTHY volunteers - assess safety, toxicity, and pharmacokinetics

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5
Q

Phase II clinical trial

A

Small number of patients WITH DISEASE OF INTEREST - assess treatment efficacy, optimal dosing, and adverse effects

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6
Q

Phase III clinical trial

A

LARGE number of patients randomly assigned either to the treatment under investigation or to the best available treatment or placebo - COMPARES the new treatment to current standards

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7
Q

Phase IV clinical trial

A

POSTMARKETING SURVEILLANCE trial of patients after approval - detects rare or long-term adverse effects

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8
Q

How does PPV vary with prevalence

A

It varies directly with prevalence or pretest probability i.e. high pretest probability –> high ppv

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9
Q

How does NPV vary with prevalence

A

It varies inversely with prevalence or pretest probability i.e. high pretest probability –> low NPV

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10
Q

Odds ratio

A

Odds that the group with the disease (CASES) was exposed to a risk factor divided by the odds that the group without the disease (CONTROLS) was exposed; used in case-control studies

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11
Q

Relative Risk

A

Risk of developing disease in the exposed group divided by risk in the unexposed group; used in cohort studies

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12
Q

RR = 1 indicates what?

A

That risk of developing disease is the same in exposed and unexposed individuals

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13
Q

Attributable Risk

A

Difference in risk between exposed and unexposed groups, or the proportion of disease occurrences that are attributable to the exposure

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14
Q

Absolute Risk Reduction

A

Absolute reduction in risk associated with a treatment as compared to a control

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15
Q

Number needed to treat

A

Number of patients who need to be treated for 1 patient to benefit. 1/absolute risk reduction

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16
Q

Number needed to harm

A

Number of patients who need to be exposed to a risk factor for 1 patient to be harmed. 1/attributable risk

17
Q

Effect modification

A

The effect of the main exposure on the outcome is modified by the presence of another variable

18
Q

Selection bias

A

Nonrandom assignment to participation in a study group

19
Q

Recall bias

A

Knowledge of presence of disorder alters recall subjects; common in retrospective studies

20
Q

Sampling bias

A

Subjects not representative of general population; type of selection bias

21
Q

Late-look bias

A

Information gathered at an inappropriate time i.e. using a survey to study a fatal disease - only patients still alive can answer

22
Q

Procedure bias

A

Subjects in different groups are not treated the same

23
Q

Confounding bias

A

Occurs when factor is related to both exposure and outcome, but is not on the causal pathway

24
Q

Lead-time bias

A

Early detection confuse with increased survival

25
Observer-expectancy effect
Occurs when a researcher's belief in the efficacy of the Tx changes the outcome of that Tx
26
Hawthorne effect
Occurs when the group being studied changes its behaviors owing to the knowledge of being studied
27
Null hypothesis
Hypothesis of no difference
28
Alternative hypothesis (H1)
Hypothesis of some difference
29
Type 1 error (alpha)
Stating that there IS an effect/diffference when NONE exits (mistakenly accept the alternative and reject the null); aka false-positive error
30
Type 2 error (beta)
Stating that there IS NOT an effect/difference when ONE EXISTS (failure to reject the null); aka false-negative error
31
Z score of 95% CI
1.96
32
Z score of 99% CI
2.58
33
T-test
Checks difference between the MEANS of 2 groups
34
ANOVA
Checks difference between the means of 3 or more groups
35
Chi square
Test checks difference between 2 or more PERCENTAGES OR PROPORTIONS of categorical outcomes
36
Crossover study
Subjects are randomly allocated to a sequence of 2 or more treatments given consecutively; a washout period is often added between treatment intervals to limit confounding effects of prior treatment
37
Case series
Descriptive study that tracks patients with known condition to document natural history or response to treatment; qualifying study that does not quantify statical significance