logistic regression Flashcards

1
Q

what is the purpose of logistic regression

A
  • one or more categorical exposures
  • one or more continous exposures
  • a combiantion of teh above
  • model the realtionship between an binary outcome and its predictor variables
  • predict the proabbi;ty of an event happening
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2
Q

what test can be used ot look at the risk of hypertension depend on sex

A

pearson chi-squared

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3
Q

why use logistic regression

A

chi2 cant adjust confounders, so results can be biased
logistic regression can handle a lot more variables of any kind

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4
Q

what does OR= 1 mean

A

if disease/condition/event is equally likely to happen in exposed and nonexposed subjects

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5
Q

what does OR>1 mean

A

more likely to happen in exposed

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6
Q

what does 0<OR<1 mean

A

less likely to happen when exposed

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7
Q

what is logistic regression

A

logostic regression anyalsis is based on the log transformation of the odds

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8
Q

what is polytomous regression

A

catergorical reponse variable with 3+ groups hvaing a natural ordering

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9
Q

what is teh princiople of general linear modelling

A

transform any outcome varibale into a continous normal equalent then fit a linear regression

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10
Q

what do odds ratio allow

A

easy to esitamate and compare, allowing to detect favtors taht have an impact on the event of interest

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11
Q

what are odds

A

alternative metric to measure incidence or prevalence

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12
Q

what do you need for logistic regression

A
  • a conntinous outcome and normal distribution
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13
Q

what is the point of logistic regression

A

when you have binary data that needs to be continous

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14
Q

what cant chi squared do

A

cant adjust confonders so results can be biased

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15
Q

what happens in rare conditions

A

risk is approx the same as the odds

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16
Q

what happens in common conditions

A

odds and the OR exaggerate the risk

17
Q

what do you never use in chi sqared or logistic regression

A

percentgaes

18
Q

what is logistic regerssion based on

A

the logorythmic trasnformation of the odds

19
Q

what is the advantgaes of log(p)

A

it is continous can take any postive or neg value and has a normal distribution

20
Q

what is p in logistic regression

A

binary event probabilty

21
Q

what is the equation for epotential distribution

A

odds = p/1-p

22
Q

what is the equation for logistic regresion

A

y=a+bx+e

23
Q

for logistic regression what would it take to accpet the null hypothesis

A

b= o
OR=1

24
Q

what is psuedo R

A

it is the amount of variation explained by the predictor

25
Q

what does a minus logit(p) mean

A

risk is lower

26
Q

what does log(p) eqal when p = 0.5

A

0

27
Q
A