Math Flashcards

(38 cards)

1
Q

1/2

A

0.5

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2
Q

1/3

A

0.333

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3
Q

1/4

A

0.25

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4
Q

1/5

A

0.2

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5
Q

1/8

A

0.125

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6
Q

Three aspects of the scientific method

A
  1. Testable hypothesis
  2. Peer review
  3. Verification
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7
Q

Experimental/Basic Research

A

Very controlled laboratory research, no human subjects, most reliable way to indicate causation

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8
Q

Human subject research

A

research performed on humans outside of lab

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9
Q

What are the two types of human subject research?

A

Experimental and observational

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10
Q

Experimental human subject research

A

Involves a specific intervention controlled by the investigator, has a control and treatment group

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11
Q

Observational Human subject research

A

Investigator observes without direct control over the variables. Ex. identifying risk factors from use of case studies

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12
Q

Beneficence

A

DO GOOD, ending a study when there is a clear result of the drug providing benefit

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13
Q

Nonmalificence

A

Ending a study because drug/intervention harms the subject

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14
Q

Cohort study

A

longitudinal study observing characteristics (risk factors) of members of a cohort across time
uses correlations to demonstrate a relationship
no manipulations of an independent variable
Scientists are simply observing over a long period of time

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15
Q

Cross-sectional Study

A

Analysis of data collected from a population/ sample at one specific time

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16
Q

Case Control Study

A

an observational study of individuals within a population with a condition present. Then comparison of that group to a control group without the condition but in the same population

17
Q

Independent Variable

A

Variable manipulated or directly changed by investigator
“Cause”
Always on the X-axis

18
Q

Dependent Variable

A

Variable measured as a response to changes in the independent variable
“outcome variable”, “effect”
Always on the Y-axis

19
Q

Positive control

A

Group given a treatment with a known/expected outcome so that it can be compared to the unknown outcome of a treatment being studied

20
Q

Negative Control

A

Receives no treatment or expected outcome

No response is expected

21
Q

Selection Bias

A

Method used to select participants is not random. Results are not a representation of the population as a whole

22
Q

Types of selection bias

A
Specific real area bias
Self-selection Bias
Pre-screening/ advertising bias
Exclusion bias
Healthy User Bias
Berkson's Fallacy
Overmatching
23
Q

Specific Real Area Bias

A

Conducting a study in a specific area that does not accurately represent the whole population studied

24
Q

Self-selection Bias

A

Participants choose whether they want to participate or not and determine their own involvement
Surveys show significant selection bias

25
Pre-Screening/ Advertising Bias
When the screening or advertising process results in a under-representative sample (Wording a study a different way which may elicit a different type of response from people)
26
Exclusion Bias
Exclusion of an entire group from a population
27
Healthy User Bias
Participants in study are likely to be healthier than the general population
28
Berkson's Fallacy
Participants from hospitals which makes the pool likely to be less healthy than general population
29
Overmatching
Negative outcome resulting from a good practice. Matching for confounding variables. (Occurs when matching is done incorrectly or unnecessarily leading to lower efficiency and biased results. Affects case control studies
30
Observer Bias
When the researchers/observers know the goal of the study which influences their observations
31
Demand Characteristics
Participants form their own conception of the experiments purpose and unconsciously change their behavior to fit that conception
32
Information Bias
Wrong or inexact recording of variables or data
33
Confounding variables
Unexpected variables that influence the variances being studied
34
Detection Bias
Systematic differences between groups caused by inconsistency with detection/ diagnoses
35
Performance Bias
Difference in groups due to the type of care provided t each (Favoritism)
36
Experimenter Bias
Errors introduced into a study due to the expectations of the investigators
37
Confirmation Bias
The tendency to favor information that confirms one's hypothesis/predictions and dismiss info that discredits them
38
Reporting Bias
When some findings are reported and some are not. (PI withholding data that does not support hypothesis)