The phrase "a set of odds" is correct and usable in written English.
It can be used when referring to a collection or group of probabilities or chances related to an event or outcome.
Example: "In sports betting, understanding a set of odds can help you make informed decisions about which teams to wager on."
Alternatives: "a collection of probabilities" or "a group of chances".
He throws in all the reputable polls (determined by their history), plus many of the other non-poll based theories on who wins elections (such as economic and survey data), whips it well to remove bias and various other nasty bits, and figures out a good set of odds for each state.
Whoever made that cynical censorship decision understands that those soldiers may be defending a set of interests at odds with this country and its Constitution, and they need to be kept in the dark about that.
Even if he turns out to be an average president, Obama will be remembered worldwide hundreds of years from now as a man who changed the way the world looked and thought, simply by being elected against a set of seemingly insurmountable odds that had statistically and historically been stacked against him.
Assuming the general framework used in random utility theory [ 14], given a set of options, the log odds ratio of choosing one of the options is proportional to a linear function of attributes of that option.
Each set of odds is attributed to a specific online bookmaker, including many of Sportradar's publicly disclosed clients.
MOR is defined for a multilevel model as the median of the set of odds ratios that could be obtained by comparing two patients with identical patient-level characteristics from two randomly chosen, different hospitals, i.e. different in hospital random effect value [ 31, 32].
The resulting set of odds ratios were combined into a summary estimate of the association between BV and HPV using the random effects model of DerSimonian and Laird [ 28] and results were visualised in a forest plot.
For a set of putative exons, a log odds score for each individual is developed.
So our λ is calculated as: (3) λ = ∑ i = 1 i = n ξ i The model therefore requires: estimates of the baseline mortality from CHD (PopO t ); a set of risk factors with known odds ratios; LNORs for each risk factor.
