That will give you 3 odds ratios in the output, one for each regression slope Some teaching can be helpful in shedding more light Look at our Topic 2 handout on page 29 (slide 58) and you find equation (94) which gives the log odds equal to a sum of beta_ {0c} and beta_ {1c}*x, where x is your G and your c=1, 2, 3, 4
Log odds odds ratio- Figure 1 log x vs x;The odds ratio is defined as the ratio of the odds for those with the risk factor () to the odds for those without the risk factor ( ) The log of the odds ratio is given by In general, the odds ratio can be computed by exponentiating the difference of the logits between any two population profiles This is the approach taken by the ODDSRATIO
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As an extreme example of the difference between risk ratio and odds ratio, if action A carries a risk of a negative outcome of 999% while action B has a risk of 990% the relative risk is approximately 1 while the odds ratio between A and B is 10 Definition of Odds In mathematics, the term odds can be defined as the ratio of number of favourable events to the number of unfavourable events While odds for an event indicates the probability that the event will occur, whereas odds against will reflect the likelihood of nonoccurrence of the event
Incoming Term: log odds vs odds ratio, log odds and odds ratio, log odds odds ratio,
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