Principles of Epi and Clinical research design Flashcards

1
Q

Phase I

A
  • Focus on PK and PD
  • Provides estimation of initial drug safety and tolerability
  • Subpopulations (renal failure, hepatic failure, very young) are important aspects
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2
Q

Phase II

A
  • Earliest attempt to establish efficacy in intended patient population
  • Very narrow eligibility
  • Leads to a homogenous population that is monitored carefully
  • Determines dose and regimen for later studies
  • Determines potential study endpoints and subsets of disease population
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3
Q

Phase III

A
  • objective is confirm therapeutic benefit
  • Provides firm evidence of agents efficacy and safety
  • Blinded and randomized
  • Estimate the size of the treatment effect
  • Predefined hypothesis which is tested
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4
Q

Phase IV

A
  • Post marketing surveillance aimed to accumulate longer term safety from large number of patients followed for extended periods
  • Begin after drug reaches the market
  • Shows how drug performs in everyday setting
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5
Q

Which study is good for rare diseases/outcomes?

A
  • Case control
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6
Q

Which study is good for rar exposures?

A
  • Cohort
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7
Q

Which types of phases are open label?

A
  • Phase I

- Phase IV

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8
Q

Longitudinal study

A
  • Data gathered from the same subjects repeatedly over a long period of time
  • Observational
  • Cohort studies are a type of longitudinal study
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9
Q

Parallel group design

A
  • If the patient remains int he sane group to which they are initially assigned
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10
Q

Post hoc power analysis

A
  • If the study finds a non signficant different between the two groups, there is a possibility to a type II error (saying a difference doesn’t exist when it does)
  • Can calculate the minimum detectable difference, if it is within the CI then type II error might have occured, if it is outside of the CI, then the study was adequately powered
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11
Q

Bias

A
  • Lack of internal validity or incorrect assessment between the exposure and outcome in a target population
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12
Q

Selection bias

A
  • Study population does not represent target pop
  • Lack of accurate sampling
  • Lack of randomization
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13
Q

Effect modification

A
  • Analyses that report on small sub groups can also lead to misleading results
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14
Q

Information bias

A
  • Occurs during data collection
  • Withdrawal bias: when losses are uneven between groups
  • Detection bias: differing diagnostic procedures in the target pop (latent tb screen in patients on biologics)
  • Misclassification bias is when exposure, outcome or other important variables are not determined accurately (recall or interview bias)
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15
Q

Regression to the mean

A

A variable that shows an extreme value on any assessment will tend to be close to the center of distribution on a later measurement

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16
Q

Confounder

A

Estimate of the effect of an exposure results from factors associated with both exposure and outcome
- Can be dealt with my matching, restrict enrollment, randomizing, stratifying, multivariate analysis , propensity scores

17
Q

Incidence

A
  • Rate at which newly diagnosed cases develop over time in a the population
  • Expressed in units of cases/person-time
18
Q

Prevalence

A

Total number of existing cases in a defined population either at a point in time or during some time period
- Can be expressed as a proportion, percentage or by actual numbers

19
Q

Cost effective analysis

A
  • Special type of decision analysis that addresses questions of the cost of health interventions compared with health outcome
  • Cost of a new medication worth paying by socieity?
20
Q

Sensitivity analysis

A
  • Repeat of the primary analysis or meta analysis substituing alternative decisions or range of valves for decisions that were arbitatry or unclear
21
Q

Face validity

A
  • Extent to which a test measures a construct as viewed by lay persons
  • Is it a reasonable test?
22
Q

Construct validity

A
  • Does it measure what it is supposed to measure?
23
Q

Criterion validity

A
  • Is there a relationship between the test score and an outcome (sat and college success)
24
Q

Predictive validity

A
  • Refers to the power or usefulness of a test to predict future outcomes
25
Q

Content validity

A
  • Address the match between the test question and the subject its trying to assess
26
Q

Kappa test

A
  • used when outcome is dichotomous

- > 80 is excellent, 60-80 is good, 40-60 is fair, 20-40 is minimnal, <20 bad

27
Q

What coefficient is used when outcomes are continuous/numeric

A
  • Intraclass correlation
28
Q

Cronbach’s alpha

A
  • Measurement of internal consistency

- Correlation of two tests that measure the same construct

29
Q

Power

A

The ability of the statistical test to identify a true difference if one exists (1-B)

30
Q

Post test probability

A

= pretest odds x LR+ (positive test) or LR- (negative test)

31
Q

Absolute risk reduction

A
  • Subtraction
32
Q

Criteria for authorship

A
  • Must be involved in conception/design and/or analysis and intrepretation
  • Must be involved in drafting the article or revising it
  • Must provide final approval
  • Must have made a significiant contribution
33
Q

Which studies can never be exempt?

A
  • Fetuses, IVF, prisoners
34
Q

Clinical equipoise

A
  • Defined as honest professional disagreement among experts about the preferred treatment
  • NO patient should be randomized to a treatment known to be inferior to the established SOC
35
Q

Therapeutic misconception

A
  • TO deny the possibility that there may be major disadvantages to participating in research that stem from the nature of the research process itself
36
Q

When are both parents REQUIREd to BOTH give informed consent for their child

A

Greater than minimal risk and no potential for direct benefit

37
Q

When is assent not needed

A
  • Intervention or procedure involved holds the prospect of direct benefit and is only available through the research