Quiz 6 Flashcards

(24 cards)

1
Q

Non-Linear regression

A
  • fits data to a variety of possible curves
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2
Q

bacterial infection

A
  • bacteria reproduced by fission (splitting)
  • each original cell gives rise to two daughter cells
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3
Q

what does each variable mean for this equation?
Y=b+ex^m

A

y=population
b=parameter constant
e=etime
m=estimates b1

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4
Q

what uses 4 parameter logistic regression?

A
  • biochemistry
  • physiology
  • population models
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5
Q

what is a 4 parameter logistic regression in physiology for?

A
  • hormone levels and hemoglobin
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6
Q

what is a 4 parameter logistic regression in population growth for?

A

population growth

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7
Q

4 parameter logistic regression use what 4 measurements?

A
  • Upper Asymptote
  • Lower Asymptote
  • Inflection point
  • Slope at inflection point
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8
Q

On a 4 parameter logistic regression graph, where do you see the Upper Asymptote?

A

the top of the line

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9
Q

On a 4 parameter logistic regression graph, where do you see the lower Asymptote?

A

where the curve starts

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10
Q

On a 4 parameter logistic regression graph, where do you see the Inflection point?

A

where it changes from positive to negative

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11
Q

On a 4 parameter logistic regression graph, where do you see the slope at inflection point?

A

what is the slope at the inflection point?

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12
Q

Problems with 4 parameter logistic regression graph.

A
  • Produces poor estimation
  • Mis predicting
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13
Q

How many hospitalizations involve mechanical ventilators?

A
  • as much as 3%
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14
Q

mortality is higher in what age group?

A

4-10x higher for patients over 70.

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15
Q

If we do not have normal distribution, and it is independent, what test will be used?

A

Mann-Whitney U Test

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16
Q

when do you use regression techniques?

A
  • for different shapes
  • regressions can also be used to predict variation in categorical responses
17
Q

multivariate equation

A

y= m1(x1)+m2(x2)+m3(x3)+b

18
Q

when you include more predictors for multivariate, what needs to happen to R^2?

A

it will need to increase

19
Q

what does the post hoc test do?

A

tells us which predictors matter

20
Q

more predictors means what?

A

model is better at predicting the noise in your data

21
Q

real world dirty approach

A

include only significant predictors

22
Q

real world good approach (AIC)

A

Akaike Information Criterion
- runs from -1 to 1
- 1 means did something wrong
1 means great
0 is not as efficient

23
Q

when reporting new R^2, what value do you report?

A

use the adjusted R square column

24
Q

what is R^2?

A

a measure of model fit