Biostats 5- RCT Flashcards

1
Q

What is the test that compares the differences btwn mean of 2 groups?

A

T test

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2
Q

When do u use independent t tests?

A

When there are unpaired measurements

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3
Q

When do u use a paired t test?

A

Paired values

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4
Q

What are the 3 assumpotions in the t test?

A

independent variable with 2 gorups
independence
1 continuous dependnt variable with normal distribution

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5
Q

What is the t test formula?

A

signal/noise = (difference btwn 2 gorups)/(variability of the groups)

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6
Q

What type of study can u use to determine if atenolol reduces the length of stay for alcohol withdrawl?

A

RCT

(use atenolol and placebo in 2 withdrawal pts for Tx and control groups, and then measure LOS and use stats to see if there are differences in LOS)

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7
Q

Is lenght of stay outcome continuous or categorical?

A

Continuous

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8
Q

This is the test when u comapre 2 means where study subjects are tracked longitudinally. like before-after treatments.

A

Paired T test

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9
Q

This comapres differences between means of 3 or more groups.

A

Analysis of variance

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10
Q

How many groups can u only have for the t test?

A

2

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11
Q

What are the 2 questions u ask for analysis of variance?

A

is there a significant difference between the menas of the groups?
if so, which gorups are significant;y difference form which others?

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12
Q

After u accept or reject Ho, what is always the next thing u have to do?

A

find the power

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13
Q

What is the test to find if there is statistical significant between teh 3 groups in ANOVA?

A

post hoc tests

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14
Q

This si teh tes that termines which groups are significant different from each other in ANOVA.

A

Tukey’s HSD

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15
Q

What is the Q quotient in Tukeys HSD?

A

its a value that is compared between 2 group means to determine statistical significance

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16
Q

Do the difference of means in an ANOVA ebtween 2 values have to higher or lower than the HSD to be of statistical significant?

A

Higher

17
Q

This is the test that determines the strength and direction of a linear assocaition btwn 2 CONTINUOUS variables.

A

Correlation analysis

18
Q

What is the signficance of the correlation (r) = 0?

A

There is no correlation between the 2 variables

19
Q

What is the signficance of the correlation (r) = 1 or -1?

A

There is a perfect postiive or negative relationship between the 2 variables.

20
Q

Does correlation mean causation?

A

yes.
wait.

yes.

jk. no
yeah. no.

21
Q

What are the 4 things that must be checked off for causation?

A
  1. an association must exist
  2. be nonspuripous (no random chance)
  3. confounding factors must be accoutned for
  4. biologically plausible
22
Q

This is the test to analyze the assocaition ebtwene 2 or more variables to determine if a relationship exists, predict values of the dependent variable based on the known vlues of the independent variable, and quantifies the amt of variation in dep var explained by ind var.

A

Regression analysis

23
Q

What does a regression analysis used that minimizes the overall vertical distances between the points and the line in the scatter plot.

A

Best fit straight line

24
Q

What is the sum of differences of a best fit line calles?

A

residuals

25
Q

This type of regression uses 1 independent variable to prdeict values of 1 dependent variable.

A

Simple linear regression

26
Q

This type of regression simultaneously uses the effect of 2 or more independnt variable on 1 dep var

A

Multiple regression

27
Q

This type of regression is when at lease one of the variables is categorical.

A

Logistic regression

28
Q

What does the slope of the regresison tell?

A

if a linear relaitonship exists and the direction of that relationsjop

29
Q

What does the R^2 of the regresison tell?

A

amt of variation in y that can be explained by x

like R2 - 0.8 means that 80% of the variation in the # of injuries can be explained by cahnges in the players body fat

30
Q

This is the test used to compare difference when in the data are categorical or if a cintinuous variable is not normal.

A

Non-parametric analysis

31
Q

What is the problem with non-parametric analysis?

A
less power
uses medians (cuz of skewed distributions)