RESS Flashcards

1
Q

Population

A

Every member of a defined group of interest

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2
Q

Representative Sample

A

Select group of the population

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3
Q

Prevalence calculation

A

No of smoker/total number

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4
Q

Categorical Variable

A

Can only be assigned to a number of distinct categories.

e.g. Sex, severity of symptoms

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5
Q

Nominal Data

A

Subgroup of categorical variable
Category with no natural ordering
e.g. sex

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6
Q

Ordinal Data

A

Subgroup of categorical variable
Natural ordering
e.g. severity of pain

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7
Q

Numerical Variables

A

Ones that take numerical value

e.g. age

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8
Q

Discrete data

A

Subgroup of numerical variable
Takes values of whole numbers only
e.g. no of hospital visits

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9
Q

Continuous data

A

Subgroup of numerical variable
No restrictions on value
e.g. weight

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10
Q

Frequency Table

A

Table showing frequency distributions

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11
Q

Data appropriate for bar charts

A

Categorical and discrete metric variables

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12
Q

Pie Chart

A

Categorical and numeric

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13
Q

Histograms

A

Continuous variables

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14
Q

Incidence

A

New cases of the disease arising in a population of a defined period of time

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15
Q

Prevalence

A

Number of people with a disease amongst the population at a given time

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16
Q

Adjustment

A

Refining case fatality rates and mortality rate to better represent the data

17
Q

Risk

A

=Number of new cases / Number at risk

18
Q

Odds

A

Number of times the event occurs divided by the number of times is does not occur

19
Q

Odds ratio

A

Used to calculate relative risk

20
Q

Relative Risk = 1

A

The risk/odds in the exposed group are the same as in the unexposed group

21
Q

Relative risk <1 and >1

A
<1 = Exposure is associated with a protective effect
>1 = Exposure increases risk of contracting the disease
22
Q

Outcome Variable

A

Your health or healthcare issue

23
Q

Exposure Variable

A

Factors affecting the outcome

24
Q

T-Test

A

Hypothesis testing by calculating a test statistic that is compared to the critical value in the relevant statistical table - If T stat more than critical value, reject null hypothesis

25
Q

P Value

A

Measure of the probability of obtaining the results of the test given that the null hypothesis is true. The smaller the p value, the less likely the results is to have occurred by chance

26
Q

Significant correlation statistic

A

0.7

27
Q

Linear regression

A

Regression of the best line to the observed data

28
Q

Sensitivity

A

How well the tests detects a condition - No of correct positive tests / no with disease

29
Q

Specificity

A

How well the test excludes those without the disease

No correctly test negative/ no without the disease

30
Q

Positive predictive value

A

Probability someone has the condition if they test positive

= No have the disease/ no test positive

31
Q

Negative predictive value

A

Probability someone doesn’t have the condition if they test negative
= No don’t have the disease/ no test negative