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Biostat | Prefinals > Biostatistics | Midterm - Analysis of Variance > Flashcards

Biostatistics | Midterm - Analysis of Variance Flashcards

1
Q

Most commonly encountered multiple comparison test

A

Analysis of Variance

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2
Q

each subject participates in one and only one group

A

Between subject design

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3
Q

the same group of subjects serves in more than one treatment – Subject is now a factor

A

Within subjects design

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4
Q

a study which has both between and within subject factors

A

Mixed Design

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5
Q

general Term for any study in which multiple measurements are measured on the same subject,
Can be either multiple treatments or several measurements over time

A

Repeated measures

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5
Q

With ANOVA, we compare average “between group” variance to average “within group” variance.
TRUE OR FALSE

A

TRUEST

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5
Q

Assumptions of ANOVA

The ANOVA procedure makes two main assumptions:

A

(1) The population distribution of each group is normal
(2) The population standard deviations of each group - - are equal.

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6
Q
  • Only testing the effect of one explanatory variable
    Each Subject has only one treatment or condition. Thus, a between-subject design.
  • Used to test for differences among two or more independent groups
A

One –way ANOVA

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7
Q

Types of Post hoc analysis:
> Bonferroni
> Scheffe test
> Fisher/LSD(Least Significant difference)
> Dunnet
> Tukey HSD (Honest significant difference)
>Games-Howell

A

> Bonferroni - highly flexible

> Scheffe test - When comparing two groups from the larger ANOVA. This is for doing complex comparisons

> Fisher/LSD (Least Significant difference) - walang nakalagay sa docs ://

> Dunnet - a set of comparisons are being made to one particular group. Several treatment with one control group

> Tukey HSD (Honest significant difference) - evaluates between any two pairs of means are significant

> Games-Howell - account unequal group sizes

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7
Q

Types of Post hoc analysis:
highly flexible

A

Bonferroni

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7
Q

Perform if ANOVA is significant

A

Post Hoc Analysis

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8
Q

Types of Post hoc analysis:
When comparing two groups from the larger ANOVA. This is for doing complex comparisons

A

Scheffe test

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8
Q

Types of Post hoc analysis:
a set of comparisons are being made to one particular group. Several treatment with one control group

A

Dunnet

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8
Q

Types of Post hoc analysis:
evaluates between any two pairs of means are significant

A

Tukey HSD (Honest significant difference)

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9
Q

Types of Post hoc analysis:
account unequal group sizes

A

Games-Howell

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10
Q
  • Classifies participants in two-ways
A

Two-way ANOVA

11
Q

OTHER TEST:

A

> n-way ANOVA
ANCOVA (Analysis of Covariance)
Repeated Measures ANOVA
MANOVA

Biostat | Prefinals (5 decks)

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