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3
votes
1answer
105 views

How can I predict the odds that a dodgeball team is going to win based on the winning history of its players?

Imagine there are 80 dodgeball players in the world. Each of them has played thousands of dodgeball games with the other 79 players in more-or-less random order. This is a world without teams (e.g., ...
3
votes
4answers
132 views

Calculating odds for a cricket match

I'm writing a program to help me gamble on cricket, but have run into a wee problem. I've got loads of data from previous games already and have compiled various stats from it. I have calculated that ...
2
votes
2answers
97 views

How to compare whether the odds of success of different levels of a predictor are different from 0

I hope I am able to word my question clearly. Suppose I have a model below: glmer(Y~X + (1|subject), family="binomial", data=dat) The intercept is the log odds ...
2
votes
0answers
114 views

Proportional Odds Model with Random Effect

I have a survival data set. I want to see the cluster specific variation, which we usually can do by using Cox proportional hazard model with frailty. But, the constant hazard ratio assumption of Cox ...
2
votes
2answers
76 views

“Exposure” and “Outcome” can be switched without changing the odds ratio?

I'm enrolled in an introductory course in statistics. In one of my lecture notes, the instructor explains why Odds Ratio is popular and he mentions: "Exposure" and "Outcome" can be switched without ...
2
votes
2answers
411 views

Can individual odds ratios be added to get one pooled odds ratio to compare to a reference group?

I have the admission for 4 different hospitals (coded as binary) which are regressed on a list of independent variables. The multinomial logistic provides the odds ratio (O.R.) for independent ...
7
votes
2answers
446 views

Prerequisite for conversion from odds ratio to relative risk to be valid

as question, since we can do the conversion from odds ratio (p1/q1)/(p2/q2) to relative risk (p1/(p1+q1))/(p2/(p2+q2)) fairly ...