Ed Melnick, a professor of statistics at New York University, pitched in to help solve this puzzle, although he warned against trying to determine the odds of a specific event that has already occurred.
Researchers at Cardiff University analysed participants from the UK Biobank between the ages of 40 and 69 to determine the odds of myopia — otherwise known as short-sightedness or 'near-sightedness'.
Earlier in the week, Tuliebitz and Michael Fishman, the Yankees' director of qualitative analysis and a biomathematics graduate from Yale, were working on a probability spread sheet to determine the odds of each outcome.
They tested the different stock and bond allocations using a Monte Carlo analysis, which simulates thousands of situations to determine the odds of possible outcomes; they also analyzed how the different mixes would perform with three different sets of market returns after inflation.
We compared persons diagnosed with schizophrenia (n=130) to individuals without schizophrenia (n=18,603) and used logistic regression to determine the odds ratio for the occurrence of cancer in persons diagnosed with schizophrenia.
We used a generalized linear mixed model that treated injury severity as a nominal three-level variable, (i.e., no injury, mild injury, and moderate or severe injury) to determine the odds ratios (OR) for circumstances associated with sustaining an injurious fall.
A multivariate logistic regression model analysis was performed in order to determine the odds of self-reported uveitis among the different ethnic groups, the presence or absence of a diagnosis of ankylosing spondylitis, a positive smoking history, and the mental health and stress values, adjusting for the confounding variables: age and gender.
We determine the odds for, and extent of, those moves from our proprietary analysis of the way the volume market-makers servicing big-fund clients protect the at-risk positions that must be taken as they compete for this lucrative business.
According to an article in Forbes, Sharpe ran a series of calculations to determine the odds of "beating the market" using "actively managed funds" (where the fund manager attempts to beat a designated benchmark, like the S&P 500 index).
Regression analyses were performed to determine the odds ratios (ORs) for the association of gastric cancer and short rare MUC2-MS6 alleles (or rare MUC2-MS6 alleles) between controls and case groups.
Multivariable logistic regression analyses were conducted to determine the odds of reporting each eating disorder behavior as a function of the year of study (1995 and 2005) controlling for the baseline values of potential confounders, namely, age, gender, body mass index, country of birth, marital status, level of education, and income.
