12 Flashcards

1
Q

What does it mean for a study to be experimental?

A

Assigns treatments randomly to individuals.

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2
Q

What does mean study to be observational?

A

Assignment of treatments is not made by researcher.

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3
Q

Reasons for experiments?

A

•eliminate bias
•Reduce sampling error

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4
Q

Placebo?

A

Eliminate Effect of treatment in which patient thinks the outcome is positive, and brings some bias by ensuring patient doesn’t know they have it.

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5
Q

Independent recovery?

A

Patients seek treatment when they feel the worst. This reduces bias.

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6
Q

Random assignment?

A

Averages out the effects of confounding variables. This can be done by randomly assigning treatments, which reduces bias

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7
Q

Blinding/anonymizing studies?

A

Preventing knowledge of experimenter of which treatment is given to whom. Bias is reduced.

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8
Q

Replication?

A

Carry out study on multiple independent objects to reduce sampling error.

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9
Q

Balance

A

Nearly equal sample sizes in each treatment, which reduces sampling error.

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10
Q

!!!Equation for standard error for t test, if noise increases in size, then?

A

The t test critical value goes along further in the distribution, making it easier to reject the null hypothesis

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11
Q

Blocking?

A

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12
Q

Extreme treatments?

A

Stronger treatments can increase the signal-to-noise ratio.

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13
Q

Matching?

A

Pair individuals in treatment group with control individuals with similar values for confounding variables. This reduces bias by limiting effects of these confounds, and reduces sampling error by grouping units into pairs.

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14
Q

Adjustment?

A

Use statistical methods to correct for effects of confounding variables.

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15
Q

Analysis of variance (ANOVA)?

A

•like a t test, but can compare more than two groups.
•Asks whether any of two or more means is different from any other
•In other words, is the variance among groups greater than zero?

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16
Q

Null hypothesis for simple ANOVA?

A

H_0: variance amount groups = 0

17
Q

Hypothesis for ANOVA?

A

H_A: at least one population mean is different.

18
Q

ANOVA with 2 groups is/is not mathematically equivalent to a two-tailed 2 sample t test?

A

Is

19
Q

If population means are the same, will sample means will be same?

A

No because of sampling error.

20
Q

In ANOVA, do we work with variances or standard deviations?

A

Variances.

21
Q

If null hypothesis of ANOVA is false, then?

A

The variance among sample means should be equal to the variance due to sampling error + the real variance among population means.