Statistics Flashcards

1
Q

state the calculation for power in a study

A

power = 1 - probability of type II error

type II error is when the study does not reject H0

> increasing sample size increases power and decreases type II error

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2
Q

what is the equation used to calculate sensitivity

A

true positives / (false negatives + true positives)

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3
Q

what is the equation used to calculate specificity

A

true negatives / (true negatives + false positives)

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4
Q

what is the equation used to calculate positive predictive value

A

true positives / (true positives + false positives)

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5
Q

what is the equation used to calculate negative predictive value

A

true negatives / (true negatives + false negatives)

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6
Q

what is the equation used to calculate likelihood ratio for a positive result

A

sensitivity / (1 - specificity)

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7
Q

what is the equation used to calculate likelihood ratio for a negative result

A

(1- sensitivity) / specificity

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8
Q

how do you calculate number needed to treat (NNT)?

A

1 / absolute risk reduction

absolute risk reduction = control event rate (CER) - experimental event rate (EER)

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9
Q

how do you calculate relative risk reduction>

A

(EER - CER) / CER

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10
Q

state the coefficients used for
- parametric data
- non-parametric data

A
  • parametric (normally distributed): Pearson’s coefficient
  • non-parametric: Spearman’s coefficient
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11
Q

describe a type I error

A

the null hypothesis is rejected when it is true

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11
Q

describe the following non-parametric tests
- Mann Whitney U test
- Wilcoxon signed-rank test
- Chi-squared test

A
  • Mann Whitney U test
    > compares ordinal, interval or ratio scales of unpaired data
  • Wilcoxon signed-rank test
    > compares two sets of observations on a single sample e.g. before after test on same population following an intervention
  • Chi-squared test
    > used to compare proportions or percentages e.g. compares the % of patients who improved following two different interventions

*paired dats is obtained from a single group of patients, unpaired data is obtained from two different groups of patients

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12
Q

Describe the period prevalence

A

number of identified cases during a specified period of time / total number of people in that population

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13
Q

describe the properties of normal distribution

A

68.3% of values lie within 1 SD of the mean
95.4% of values lie within 2 SD of the mean
99.7% of values lie within 3 SD of the mean

the standard deviation is a measure of how much dispersion exists from the mean

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14
Q

describe the phases of clinical trials

A

phase 0 - exploratory studies
> small number of participants, aims to assess how drug behaves in human body
> assesses pharmacokinetics/pharmacodynamics

phase 1 - safety assessment
> determines side-effects prior to larger studies
> conducted on healthy volunteers

phase 2 - efficacy assessment
> small number of participants affected by particular disease
> IIa: optimal dosing, IIb: efficacy

phase 3 - effectiveness assessment
> 100-1000s of people, usually part of RCT
> compares new treatment with established treatment

phase 4 - postmarketing surveillance
> long-term effectiveness and side-effects

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