Stats / Data Flashcards

1
Q

Whats an ogive

A

A continous cumulative frequency curve whereby the central point had 50% of values above it and 50% of values below it
i.e. the interquartile range lies between the first and third quartiles

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2
Q

Types of data from a sample

A

Qualitative
Quantitative

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3
Q

Quantitive data can be of two types

A

Numerical
Categorical

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4
Q

Numerical data can be either

A

Discrete - distinct values within a range
Continuous - any values within a range

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5
Q

Categorical data has three subcategories

A

Binary (two levels only)
Ordinal (more than two levels with a specific order i.e. low medium high)
Nominal (more than two levels with no order e.g. ethnicity)

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6
Q

What is the Chi square test

A

A statistical test that can be used to determine wether observed frequencies are significantly different from expected frequencies
Outcome allows to accept or reject the null hypothesis
Used to compare discontinous categorical data

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7
Q

When is a binominal test used

A

To see if observed test results differ from what is expected
Used when there are two possible outcomes e.g. success or failure and you have to estimate what the probability of success is

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8
Q

When is the paired t-test used

A

when a group is measured twice i.e. each individual has two repeated measures

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9
Q

Whats an unpaired t test for

A

looks at the differences between two groups on a variable of interest
a normal distribution and normal standard deviation are assumed

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10
Q

What is regression analysis

A

Generates an equation to describe the statistical relationship between one or more predictor variables and a response variable
Used to determine hwo one variable correlates with another

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11
Q

When is a box and whisker plot used

A

Depicts a range of values including a sample minimum, lower quartile, medium, upper quartile and sample maximum
Box extends from border of the lower quartile to the border of the upper quartile, with the median depicted as a horizontal line across it

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12
Q

How to work out the relative risk?

A

Incidence of the disease in the exposed group DIVIDED BY incidence of the disease in the NON exposed group

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13
Q

What has the biggest impact on interpretation of meta analyses and why

A

Publication bias
There is a tendency to only submit positive trials and for journals to favour publication of positive studies
This can lead to an over estimate of effect size of a particular intervention vs a single, large, well conducted study

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14
Q

How to do a calculation of number needed to treat

A

Big number take away small number
Divide into 100

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15
Q

How to calculate sensitivity

A

Dividing the true positives by the true positives plus the false negatives

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16
Q
A