Introduction to Statistics Flashcards

1
Q

Difference between Sample and Target Population?

A

1) Sample: People we collect info on

2) Target: Larger population

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2
Q

Three types of Bias?

Stats R super!

A

Sampling: More/less likely to include individuals
Recall: People can’t remember things
Social-Desirability: Incorrect info as societal pressure

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3
Q

Term for if measurement error in data?

A

Information Bias

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4
Q

What is a Confounding Factor?

A

Background factor which relates to the outcome and exposure

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5
Q

Difference between Experimental and Observational Study?

A

Experimental: Researcher changed something (RCT and Crossover Trial)
Observational: Researcher hasn’t intervened (E.g. Case-control, cross-sectional, cohort and ecological studies)

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6
Q

Difference between Retrospective and Prospective Study?

A

Retro: Look into past (C-Control study)
Pros: Collect info at start and follow over time (Cohort)

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7
Q

Example of a population level study?

A

Ecological

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8
Q

What happens in a Case-Control study? (2)

A

1) Find individuals with outcome and take random sample
2) Look to see who did and didn’t have exposure
(Good for investigating a rare outcome)

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9
Q

Case-Control Weakness?

A

Only investigate single disease, lots of chance of bias

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10
Q

What happens in a C-S Study?

A

1) Look at what currently is happening (snapshot of time)

2) See who currently has exposure and outcome

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11
Q

What happens in a Cohort study?

A

1) Collect info on a sample

2) Follow over time to see who gets outcome

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12
Q

What happens in an RTC?

A

1) Have multiple groups (arms)

2) Give different exposures to each arm and then compare difference

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13
Q

Disadvantages of RTC?

A

1) Expensive and not good for long term

2) Not always suitable (ethically)

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14
Q

What should a good study include?

A
  • Randomisation of participants to interventions (reduces bias/confounding).
  • Show causation rather than association.
  • Have outcome measures (results) for at least 80% of the population.
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