RESS Flashcards

(46 cards)

1
Q

Define hypothesis

A

Testable statement that describes an observation

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2
Q

Define theory

A

well confirmed explanation of nature but remains falsifiable

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3
Q

Define Health Outcome

A

Impact healthcare activities have on people

Focusses on what results from what is done

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4
Q

Name the 3 health outcomes

A

Record Based
Biological and Clinical Outcomes
Clinician and Patient-reported outomes

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5
Q

Give an example of record based health outcome

A

Mortality, incidence

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6
Q

Give an example of Biological and clinical outcomes

A

Lab results, BMI, Blood pressure

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7
Q

Give an example of Clinician and patient-reported outcomes

A

Symptom score

HRQOL

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8
Q

Define Incidence

A

New cases of that disease arising in a population over a defined period of time
Number of new cases/Number at risk (in a given period of time)

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9
Q

Define Prevalence

A

Cases of people living with the disease

Number of people with a disease/Number of people in the population (at a given time)

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10
Q

Define Case Fatality Rate

A

Number of people who die from the disease/Number of people with disease in period

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11
Q

Define Mortality Rate

A

Number of people who die from the disease/Number of people who die in period of time

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12
Q

Define Stratum

A

Subgroup of your individuals in the sample

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13
Q

Define Risk

A

Number of new cases/Number at risk

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14
Q

Define Odds

A

Probability of event/Probability that event doesn’t occur

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15
Q

Define and explain relative risk

A

Risk in exposed group/Risk in unexposed group
=1 means no benefit or harm
>1 means harmful effect

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16
Q

What is standard error used to calculate?

A

The confidence intervals

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17
Q

Define P-value

A

probability that such a test specific could take a value at least that extreme

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18
Q

Pearson Correlation Coefficient

A

Measured between two numeric variables

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19
Q

When should PCC not be used?

A

Non Linear relationship
Outliers
Distinct Sub Groups

20
Q

When is Spearman Rank Used?

A

When data is not normally distributed, when a variable is ordinal or a small sample size

21
Q

Define Linear Regression

A

Fitting a straight line to points on scatterplot

22
Q

Define Censoring

A

Leaving the study before the event occurs or entering after

23
Q

Define failure

A

The time the person leaves the study is known, may be due to event or people lost

24
Q

Define Right Censored

A

People did not reach failure before end of study

25
Define Left Censored
Not certain what happened to people before they entered study
26
Give a common health related status
Death
27
Give three keyword search methods
``` Truncation (eg. anorexi = anorexia, anorexic) Adjacency Searching (relate two things together) Wildcards (eg. behavio?ral = one character or none) (eg. behavio#ral = one character) ```
28
Give the common Boolean Searches
AND - requires both words to be returned OR - either terms or both will be returned NOT - first term is searched and removes any with second term
29
How would you summarise the data of normally distributed data?
Mean and Standard Deviation
30
How would you summarise the data of non normally distributed data?
Median and IQR
31
What graph would you use to describe the distribution of a continuous variable?
Histogram
32
Define Sensitivity
Percentage of people who are correctly identified in having the disease TP/TP+FN
33
Define Specificity
Percentage of people who are correctly identified in not having the disease TN/TN+FP
34
Define Positive Predictive Value
Probability of someone having the disease given a positive test result TP/TP+FP
35
Define Negative Predictive Value
Probability of someone not having the disease give a negative test result TN/TN+FN
36
Define Null Hypothesis
Assumes no effect in the population
37
Define Standard Deviation
Measure of spread of a distribution
38
Define Statistic
Sample estimate from population
39
Define Standard Error
Measure of the precision of the sample mean
40
Define Validity
Measure accurately what it is meant to measure | Eg. BMI rather than weight as measuring obesity
41
Define Reliability
Give same result when retested
42
Define Responsiveness
Can detect real changes when they occur | Eg. Continuous QoL scale rather than categorical
43
Define Continuous Data and an example
Numerical value with no limitation on values | Eg. Weight, regardless of whole units or not
44
Define Discrete Data and an example
Numerical Value with limitations on values | Eg. number of hospital admissions
45
Define Ordinal data and an example
Ordered category | Eg. Likert's scale, stage of disease
46
Define Nominal data and an example
Non ordered category | Eg. Blood group, sex