Measuring And Summarizing Data Flashcards

1
Q

Define the term spurious

A

Means false

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2
Q

What do we use to study descriptive epidemiology?

A

Using the epidemiological triad.

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3
Q

Define data

A

A collection of facts for reference.
Basis for information which can be used to derive knowledge.

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4
Q

Define variables

A

These are data units that take on different values.

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5
Q

State the two categories of data.

A

1.Categorical or qualitative
2.Continous or quantitative

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6
Q

Describe categorical or quantitative (discrete) data.

A

These take definite values or either Yes or No.
Can be summarized using bar graphs e g sex,whether sick or not.

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7
Q

Describe continuous or quantitative data.

A

This is a variable that could take an infinite number of values.
Can be summarized using histograms e g weight,height,blood pressure.

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8
Q

What is another classification of data besides quantitative and qualitative?

A

•Ordinal
•Nominal
•Interval
•Ratio

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9
Q

Describe ordinal data.

A

This is where different categories refer to variation in degree of variable e.g mild,moderate,severe

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10
Q

Describe nominal data

A

This is where categories have no quantitative value.
E.g sex,race

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11
Q

Describe interval.

A

This is when the difference between categories is known and the differences are quantified.

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12
Q

Describe ratio

A

This is a value obtained by dividing one quantity by another which includes a value of zero.

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13
Q

Define a proportion

A

This is where the numerator is part of the denominator.It can be expressed as a percentage.

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14
Q

Define a rate

A

This is a type of ratio which is a proportion but with a denominator that involves measure of time.
It is usually used with a multiplier.

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15
Q

Define case definition

A

Where the phenomenon being studied is identified /defined precisely to make it easy to replicate or find.

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16
Q

What are the sources of data?

A

1.Centers for Disease Control and Prevention.
2.World Health Organization
3.The National Census
4.Demographic and Health Survey

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17
Q

Define case registry

A

This is a centralized database for collection of information about a disease to monitor trends, determine patterns,guide planning etc

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18
Q

Define parameters

A

Characteristics of a population

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19
Q

Define sample

A

Subset of a population

20
Q

Define statistics

A

Characteristics of a sample

21
Q

Define sampling units

A

Individuals in a sample

22
Q

Define sampling frame

A

The possible members where sampling units are collected from.

23
Q

Define internal validity

A

Looks at how statistics reflect members in the sample

24
Q

What causes chance findings

A

A sample that is too small

25
Q

Define data in epidemiology

A

These are facts for reference

26
Q

What is binary or dichotomous data?

A

When there are two options e.g male/female.
Present/absent

27
Q

Define quota sampling

A

This is when you divide members into for example male and female then get a sample.

28
Q

Define purposive sampling

A

This is when you have a characteristic of concern then you choose individuals who are likely to have it.

29
Q

What is convenience sampling?

A

This is when individuals are picked based on how easy it is to find them.

30
Q

Define snowballing

A

This is when one member points out another member.
This is when something is so rare

31
Q

What is common among quota, convenience, snowballing and purposive?

A

They are non-probabilistic and they are more prone to bias.

32
Q

Give examples of inferential biostatistics

A

•standard deviation
•Range
•F-test
•t-test

33
Q

What does descriptive statistics include?

A

Mode, median,mode

34
Q

List some of the measures used to check for spread of data

A

Range,standard deviation

35
Q

What are confidence intervals?

A

These are a range of estimates for a given parameter

36
Q

Define counts

A

Number of cases of a disease

37
Q

Define population at risk/susceptible individuals

A

These are members that a capable of getting a health condition

38
Q

Define person years

A

Refers to the time a given number of people spend in a study.

39
Q

Define reference population

A

This is the population from which cases are taken.

40
Q

Define attack rate

A

This is the proportion of individuals affected in the population at risk in a limited period of time

41
Q

Define case fatality rate

A

Refers to the number of deaths due to a disease that occurs among persons who are afflicted with that disease

42
Q

Define proportional mortality ratio

A

This is the number of deaths within a population due to specific disease or cause divided by the total number of deaths in the population.

43
Q

Define cause specific rate

A

This is a measure that refers to mortality divided by the population size at midpoint multiplied by a multiplier

44
Q

Define crude rates

A

Refers to rates that have not been modified to demographic characteristics e.g people died from malaria and TB

45
Q

List two numerical variables

A

•continous
•discontinous

46
Q

List two categorical variables

A

•unordered (dichotomous or binary)
•ordered (e.g mild,moderate, severe)