Lecture 14 Flashcards

1
Q

what is cumulative incidence

A

estimate of the risk that an individual will experience an event or develop a disease during a specified period of time

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
2
Q

define odds

A

the ration of the probability to develop illness (to die or have certain outcome) and stay healthy.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
3
Q

what values can the odds be

A

from 0 to infinity

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
4
Q

what is the chance of getting sick, if odds are <1

A

the chances of getting sick are small, as the probability of getting sick is less rather staying healthy (the probability of staying healthy is larger than developing an illness)

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
5
Q

when odds =1, what is the likelihood of developing an illness?

A

it’s equally likely to develop illness and stay healthy (the probability of developing an illness is higher than staying healthy)

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
6
Q

what does teh risk ratio measures?

A

the increased risk for developing a disease when having been exposed to a risk factor compared with not having been exposed to the risk factor. It is given by RR = risk for the exposed/risk for the unexposed, and it is often referred to as the relative risk.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
7
Q

what is the odds ratio (OR)?

A

is the ratio of the odds of the disease in the group exposed to the factor, to the odds of the disease in the unexposed group.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
8
Q

odds ratio of risk factor is equal to

A

odds exposed to risk factor divided by odds unexposed to risk factor

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
9
Q

odds equals to

A

baseline times exposure

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
10
Q

odds exposed to risk factor equals to

A

odds unexposed to risk factor times odds ratio of risk factor

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
11
Q

what method does logistic regression provides?

A

method for modelling a binary response variable, which takes values 1 and 0

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
12
Q

what are we modelling with linear regression?

A

the probability of the event

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
13
Q

how logistic regression model is estimated?

A

by using maximum likelihood method

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
14
Q

what the logistic regression coefficients give?

A

the change in the log odds of the outcome for a one unit increase in the predictor variable

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
15
Q

if p-value is <0.05 then the result is

A

significant

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
16
Q

if the coefficient is higher then the logistic regression construction is

A

better with the data

17
Q

can we compare coefficient when using McFadden;Cox-Snell;

Nagelkerke?

A

no due to different definitions

18
Q

how logistic regression models are fitted?

A

using the method of maximum likelihood - i.e. The parameter estimates are those values which maximize the likelihood of the data which have
been observed.

19
Q

do we make assumptions about the distribution of the explanatory variables in logistic regression?

A

no

20
Q

what would cause problems with estimations ?

A

correlation of explanatory variables

21
Q

do we need large sample size for logistic regression?

A

yes, it provides better accuracy (min 50)

22
Q

how explanatory variables and sample size are correlated?

A

larger sample size, more explanatory variables