1B stats: comparing two or more groups Flashcards

1
Q
A
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1
Q

Independent variable: 1 group
Dependent variable: continuous and normally distributed (parametric)

A

One sample T-test

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2
Q

Independent variable: 1 group
Dependent variabke: Continuous and skewed/ordinal (non-parametric)

A

sign test/ Wilcoxon signed rank test

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3
Q

Independent variable: 1 group
Dependent variable: Binary ( 2 categories)

A

chi squared test/ exact test

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4
Q

Independent variable: 1 group
Dependant variable: survival/ time to event

A

Life table analysis

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5
Q

Independent variable: 2 groups (binary)
Dependent variable: continuous and normally distributed (parametric)

A

Two sample t-test (small sample, usually <60)
Z-test (large sample)
Linear regression

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6
Q

Independent variable: 2 independent groups (binary)
Dependent variable: Continuous and skewed/ ordinal (non parametric)

A

Mann-witney U test
Wilcoxon ranked sum test

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7
Q

Independent variable 2 independent groups (binary)
Dependent variable: Binary 2 categories

A

Difference between proportions: z test
Chi squared test (large sample)
Fisher exact test (small sample)
Logistic regression

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8
Q

Independent variable: 2 independent groups (binary)
Dependent variable: Survival/ time to event

A

Log rank test
Cox regression

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9
Q

Independent variable: Paired (related) sample (2 time points)
Dependent variable: continuous normally distributed (paratmetic)

A

Paired t-test (small sample)
Paired z test (large sample)
Bland Altman method

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10
Q

Independent variable: Paired (related) sample (2 time points)
Dependent variable: Continuous and skewed/ ordinal (non-parametric)

A

Wilcoxon signed rank test

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11
Q

Independent variable: Paired (related) sample (2 time points)
Dependent variable: binary (2 categories)

A

McNemar’s test
Kappa statistic

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12
Q

Independent variable: >2 independent groups (unordered categorical)
Dependent variable: continuous and normally distributed (parametric)

A

One way ANOVA
Linear regression

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13
Q

Independent variable: >2 independent groups (unordered categorical)
Dependent variable: continuous and skewed/ ordinal (non-parametric)

A

Kruskal- Wallis test

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14
Q

Independent variable: >2 independent groups (unordered categorical)
Dependent variable: Binary (2 categories)

A

Chi squared test/ fishers exact test
Logistic regression

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15
Q

Independent variable: >2 independent groups (unordered categorical)
Dependent variable: survival/ time to event

A

Log-rank test
Cox regression

16
Q

Independent variable: >2 related samples (>2 time points)
Dependent variable: continuous and normally distributed (parametric)

A

Repeated measures ANOVA

17
Q

Independent variable: >2 related samples (>2 time points)
Dependant variable: Continuous and skewed/ ordinal (non-parametric)

A

Friedman’s test

18
Q

Independent variable: continuous
Dependent variable: continuous and normally distributed (parametric)

A

Pearsons correlation
Linear regression

19
Q

Independent variable: continuous
Dependent variable: continuous and skewed/ ordinal (non parametric)

A

Spearman’s rank correlation
Linear regression

20
Q

Independent variable: continuous
Dependent variable: Binary (2 categories)

A

Logistic regression

21
Q

Independent variable: continuous
Dependent variable: time to event/ survival

A

cox regression