Stats Gross Flashcards

1
Q

What is a case-control study

A

Observational, retrospective

A study done using a population of subjects that are selected based on the outcome of interest (cases) and compares them to a similar population of patients who don’t have the outcome of interest (controls). Investigators look back to identify characteristics (exposures) that are linked to the outcome

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2
Q

What is a cohort study

A

Observational, prospective OR retrospective

A study that defines two groups of patients (cohorts) - one which has been exposed (e.g., received active treatment) and one which has not been exposed (control) - and observes to see if an outcome of interest happens in either group.

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3
Q

Intent-To-treat vs Per-Protocol Analysis

A

Intent-to-Treat (ITT) – analyzing subjects according to the group to which they were randomized

Per-Protocol (PP) – analyzing only those subjects who adhered to the treatment according to the protocol

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4
Q

What is Type 1 Error

A

A Type 1 error occurs if we reject H0 when, in fact, H0 is true; If this happens, we will have a false positive

AKA say there is a difference when there really isn’t a difference

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5
Q

What is Type 2 Error

A

o A Type 2 error occurs when we accept H0 when, in fact, H0 is false; If this happens, we will have a false negative

AKA say there is no difference when there really is a difference

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6
Q

Probability of Type 1 Error

A

Alpha, normally 0.05

1 time out of 20 we will falsely reject H0

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7
Q

Probability of Type 2 Error

A

Beta, normally 0.20

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8
Q

Prevalence vs Incidence

A

Prevalence: Total number of cases (EXISTING disease) divided by total population; Tells how much disease there is right now (burden of disease)

Incidence: Measures frequency of disease in a population; How many people per year acquire the disease?

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9
Q

Odds Ratio calculation

A

Odds of outcome given EXPOSURE versus non-exposure to a substance or event (ratio of odds)

OR = Odds case was exposed/Odds control was exposed
OR=A/C / B/D
OR=AD/BC

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10
Q

Relative Risk Calculation

A

Ratio of incidence of outcome among exposed group/incidence of outcome among non-exposed

RR=Risk among exposed/Risk among non-exposed
RR=(A/A+B)/(C/C+D)

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11
Q

Relative Risk Reduction

A

Tells how much treatment reduced the risk of the outcome relative to controls who did not get treatment

RRR=1-RR

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12
Q

Absolute Risk Reduction

A

Absolute risk difference in event rate

ARR=(A/A+B) - (C/C+D)

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13
Q

How to calculate NNT?

A

1/ARR

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14
Q

Which test if data is:
Nonparametic
Nominal
Two groups, independent

A

Chi-square or Fisher exact test (if <5 in any cell or n<20)

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15
Q

Which test if data is:
Nonparametic
Nominal
3+ groups, independent

A

Chi-square or Fisher exact test (if <5 in any cell or n<20)

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16
Q

Which test if data is:
Nonparametic
Ordinal
2 groups, independent

A
  • Mann-Whitney U
  • Wilcoxon rank sum test
  • Wilcoxon-Mann-Whitney test
17
Q

Which test if data is:
Nonparametic
Continuous, not normally distributed
2 groups, independent

A
  • Mann-Whitney U
  • Wilcoxon rank sum test
  • Wilcoxon-Mann-Whitney test
18
Q

Which test if data is:
Nonparametic
Ordinal
3+ groups, independent

A

Kruskal-Wallis

19
Q

Which test if data is:
Nonparametic
Continuous, not normally distributed
3+ groups, independent

A

Kruskal-Wallis

20
Q

Nonparametric
Nominal
2 groups: Before & After a Single Treatment

A

McNemar test

21
Q

Nonparametric
Nominal
3+ groups: Before & After a Single Treatment

A

Cochran Q test: Mantel-Haenszel test

22
Q

Nonparametric
Ordinal
2 groups: Before & After a Single Treatment

A

Wilcoxon signed-rank test

23
Q

Nonparametric
Ordinal
3+ groups: Before & After a Single Treatment

A

Friedman ANOVA by ranks

24
Q

Nonparametric
Continuous, not normally distributed
2 groups: Before & After a Single Treatment

A

Wilcoxon signed-rank test

25
Q

Nonparametric
Continuous, not normally distributed
3+ groups: Before & After a Single Treatment

A

Friedman ANOVA by ranks

26
Q

Parametric
Continuous, normally distributed
2 groups

A

Student t-test

27
Q

Parametric
Continuous, normally distributed
3+ groups

A

ANOVA followed by post hoc testing

28
Q

Parametric
Continuous, normally distributed
2 groups: Before & After a Single Treatment

A

Paired t-test

29
Q

Parametric
Continuous, normally distributed
3+ groups: Before & After a Single Treatment

A

Repeated measures ANOVA

30
Q

What is study bias? Give examples

A

Systematic, nonrandom variation in study metholodgy and.or data collection process that results in an incorrect estimate of association between exposure and outcome

Selection bias
Information bias
Recall bias
Interviewer bias
Misclassification bias
PUblicaiton bias
Confounding variables
31
Q

Categorical data: what is Nominal? Ordinal?

A

Nominal = categories w/o rank (i.e., sex, race, presence/absense of disease)

Ordinal = categories with rank (i.e., likert scale, pain score)

32
Q

Continuous data: what is Ratio? Interval?

A

Ratio = HAS absolute zero where zero=none (HR, BP)
- Can calculate ratio of 2 measurements with ratio

Interval = NO absolute zero (temp)