Cross sectional studies Flashcards

1
Q

We want sample to be…

A

Precise
Unbiased
Representative

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2
Q

Concept of ecological studies

A

Snapshot in time and estimate at group level

No reflection of time lag of diseases etc

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3
Q

How to conduct an ecological study?

A

Identify groups

Define characteristics - exposure and outcome

Decide if analysis uses categorical data or continuous data

Gather data on group level stats

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4
Q

Discrete/qualitive data types

A

Nominal (categories eg ethnicity)

Ordinal (ordered categories eg stage of cancer)

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5
Q

Continuous data types

A

Interval (meaningful differences eg calendar year)

Ratio (absolute zero eg weight)

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6
Q

Specific issues for ecological studies

A

Definition of characteristics
Measurement variation
Confounding (ecological fallacy)
Chance/random error

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7
Q

What is ecological fallacy?

A

Falsely inferring individual level association from group level association

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8
Q

Concept of cross sectional studies

A

Snapshot in time

Individual level analysis

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9
Q

What are cross sectional studies usually used for?

A

Find out prevalence

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10
Q

What is prevalence?

A

Proportion of people with a disease at a given point in time (new and old cases)

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11
Q

Example of cross sectional study

A

BMI of individuals and how much fast food they eat weekly

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12
Q

Example of ecological study

A

Daily meat consumption (countries) and Colon cancer incidence

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13
Q

Issues with cross sectional study

A

Timing - does timing of exposure relate well to the current BMI (only snapshot)

Bias - is self reported data true? missclassification?

Confounding

Random variation

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14
Q

What does it mean if null hypothesis value in regards to confidence interval?

A

If within interval - results are consistent with hypothesis

If outside interval - results are not consistent, p is less than 0.05, evidence to reject null hypothesis

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15
Q

What would null hypothesis value be?

A

If ratio: 1

If a difference: 0

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16
Q

Null hypothesis and p value

A

If null inside 95% - p>0.05

If null outside 95% p<0.05

17
Q

How to calculate confidence interval?

A

Calculate error factor

18
Q

Issues cross sectional survey

A

Sampling bias
Responder/participant bias
Chance/random error