Trials Flashcards

1
Q

Which part of a paper describes aims & objectives

A

Introduction

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2
Q

Confounding bias

A

Distortion in the measure of association between exposure and health outcome
Caused by a mixing effect of the exposure with some extraneous factor

e.g.
Coffee drinker lead ro coronary prob.
But the coffee drinkers are also often smokers
And there’s a strong correlation between smoking and heart issue.
A confounding bias that misleads to coffee as the cause

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3
Q

Diabetes vs non diabetics
Looks back in time to see characteristics
What study is this?

A

Case control

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4
Q

Central tendency?

A

Central location for distribution
Mean , mode, median

Standard deviation is not a central tendency but a measure of deviation from the central tendency

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5
Q

Measure of central variability

A
Standard deviation
Range
Inter quartile range
Box plots
Variance
95% Confidence interval
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6
Q

Measure of descriptive statistics (location)

A

Percentiles
Quartiles
Min Max

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7
Q

Interventional study

A

Randomized clinical trial

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8
Q

Observational studies

A

Cohort (exp sometimes)
Case control
Cross sectional

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9
Q

Experimental studies

A

Randomized control trials

Non Randomized control trials

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10
Q

Forest plot

A

Blobbogram

Used for meta analysis of randomized control trials

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11
Q

Funnel plot

A

A triangular plot on graph
Scatter plot
For checking publication bias
Systematic reviews and meta-analysis

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12
Q

Histogram

A

Bars connected to each other

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13
Q

Pie chart

A

Circle divided into percentage triangles

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14
Q

P value

A

Probability of obtaining results at least as extreme as the observed results of stat hypothesis test. Assuming that the null hypothesis is correct.

Small p value — null hypothesis rejected

0.05 p value is used generally as a standard

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15
Q

Smokers vs non smokers

See which one eventually develops lymphoma

A

Prospective cohort study

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16
Q

Body responsible for approval of research in health institutions

A

IRB

Institutional review board

17
Q

Phase 1 clinical trial

A

Healthy participants

18
Q

Continuous variable

A

Has any numeric value

19
Q

Ordinal variable

A

Described In order , or ranks instead of numbers

E.g socioeconomic status : middle class lower income high income

20
Q

Binary variable

A
Can only have 2 options
Yes or no
True or false
Less than 35 or more than 35
Male or female
21
Q

Categorical variable

A

Can take only a few fixed values or lables
Such as marital status, eye color, religion

Ordinal variable is a type of categorical variable

22
Q

The middle value of a number data

A

Median