Statistics Flashcards

(41 cards)

1
Q

What is the null hypothesis?

A

The null hypothesis is that they are equally good

We don’t have to prove the alternative hypothesis; we must show that the null hypothesis is likely to be wrong.

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2
Q

What is a Type 1 error?

A

Incorrectly rejected a true null hypothesis (false positive)

This occurs when the study suggests an effect exists when it actually does not.

Think people are positive they are number 1 but it’s false

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3
Q

What is a Type 2 error?

A

Failure to reject a false null hypothesis (false negative)

This occurs when the study fails to identify an effect that does exist.
Think 2, poo, negative

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4
Q

What is a crossover design in clinical trials?

A

Every patient is their own control

This design only works if treatment does not make the patient permanently better, suitable for chronic diseases.

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5
Q

What does cluster randomization involve?

A

Randomization of groups rather than individuals

This allows for contamination across individuals.

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6
Q

What is the purpose of randomization in trials?

A

Prevents selection bias

Ensures that the groups being compared are similar at the start of the trial.

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7
Q

What is a triple blind study?

A

Person analyzing results also doesn’t know which are the treatment arms

This adds an additional layer of blinding beyond the participants and researchers.

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8
Q

What is a case-control study?

A

Looking back, good for rare conditions

This study design compares individuals with a condition to those without.

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9
Q

What type of study is a cohort study?

A

Prospective

It follows groups over time to see how certain exposures affect outcomes.

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10
Q

What is intention to treat analysis?

A

Mirrors real life and gives an unbiased effect

This analysis includes all randomized participants regardless of whether they completed the study.

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11
Q

What is the difference between parametric and non-parametric data?

A

Parametric uses normal distribution, non-parametric is skewed

Parametric tests typically assume data follows a specific distribution.

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12
Q

What statistical measure is used for normal distribution?

A

Mean

The mean is calculated by adding all values together and dividing by the number of values.

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13
Q

What statistical measure is used for skewed distribution?

A

Median

The median is the middle value when data is ordered.

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14
Q

What is the mode in statistics?

A

The most commonly occurring value

It identifies the value that appears most frequently in a data set.

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15
Q

What is standard deviation?

A

The average distance that each individual observation is from the mean.

A range of one standard deviation above and below the mean includes 68.2% of the values, while +- 2SD includes 95.4% of the data.

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16
Q

Define interquartile range.

A

It involves the lower quartile (25%), median (50%), and upper quartile (75%).

It is used to understand the spread of the middle 50% of data points.

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17
Q

What does the R value indicate?

A

The R value can range between +1 and -1, indicating correlation strength.

Perfect positive is +1, high positive is 0.8, low positive is 0.3, and no correlation is 0.

18
Q

What is statistical inference?

A

Using statistics to make predictions.

It involves drawing conclusions about a population based on sample data.

19
Q

Define confidence interval.

A

A range of values within which we are confident the true population value lies.

A wider confidence interval indicates more variability, a smaller sample, or a higher confidence level desired.

20
Q

What does a P value represent?

A

The likelihood that the observed result is due to chance if there is no difference between two results.

A common threshold is p=0.05, indicating a 5% chance of the result being due to random variation.

21
Q

Fill in the blank: A P value can be between _______.

A

0 and 1.

The smaller the P value, the greater the unlikeliness that the result occurred by chance.

22
Q

What is the highest level in the hierarchy of evidence?

A

Systematic reviews and meta-analyses

This level includes comprehensive evaluations of multiple studies.

23
Q

What type of study is ranked second in the hierarchy of evidence?

A

RCT (Randomized Controlled Trials)

RCTs are considered the gold standard for testing the efficacy of interventions.

24
Q

What is a cohort study?

A

A study that follows a group of individuals over time to see how different exposures affect outcomes

Cohort studies can be prospective or retrospective.

25
Define case-control studies.
Studies that compare individuals with a condition (cases) to those without (controls) ## Footnote These studies are useful for identifying risk factors.
26
What are cross-sectional studies?
Studies that analyze data from a population at a specific point in time ## Footnote They provide a snapshot of the situation.
27
What is the definition of incidence?
Rate of new cases in a time period ## Footnote Incidence measures the risk of developing a new condition.
28
Define prevalence.
Proportion of people affected at one moment of time ## Footnote Prevalence indicates how widespread a condition is.
29
What does ARR stand for?
Absolute risk reduction ## Footnote ARR is the absolute difference between the new treatment group and the old.
30
How is relative risk reduction calculated?
Divide ARR by control rate ## Footnote This provides a proportionate measure of risk reduction.
31
What does NNT stand for?
Number needed to treat ## Footnote NNT indicates how many patients need to be treated to prevent one additional bad outcome.
32
How is NNT calculated?
100/ARR or 1/ARR (if decimal) ## Footnote NNT is always rounded up.
33
What is a Cates plot?
A visual way to present data using smiley faces ## Footnote Cates plots help simplify complex statistical data.
34
What is the purpose of survival analysis?
To represent the time until a single event occurs ## Footnote Survival analysis is commonly used in clinical studies.
35
What does a Kaplan-Meier survival graph illustrate?
The survival probability over time ## Footnote It can show censored observations where patients lost contact.
36
What are censored observations in survival analysis?
Data points where patients are lost to follow-up ## Footnote Censoring is important for accurate survival analysis.
37
What is sensitivity?
How often the test will be positive (positive in disease)
38
What is specificity?
Negative in health
39
What is PPV?
How many are correctly diagnosed
40
What is member checking?
When you give the findings to the subjects to check they are a reasonable account
41
What is reflexivity?
An acknowledgment of our own background as well as our biases