To compute an adjusted odds ratio, simply fit a logistic regression model. The outcome variable is the 0-1 variable which represents case or control status. The independent variables include a particular SNP variable, as well as all the demographic variable. The odds ratio that you get for the SNP variable shows the effect of that SNP on cancer status, after adjusting for all the demographic variables.
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To calculate an adjusted odds ratio in a logistic regression model, you would first run the regression analysis to obtain the coefficients for each predictor variable. Then, exponentiate these coefficients to get the adjusted odds ratio, which reflects the change in odds of the outcome for a one-unit change in the predictor variable while holding other variables constant.
Since the ratio of boys to girls is 5 to 8, the total ratio parts is 5 + 8 = 13. To find how many boys are in the class, divide the total number of girls (40) by the total parts of the ratio (13), then multiply by the number of boys parts (5). Thus, there are 15 boys in the class.
The odds of a fan catching one foul ball during a game are very low, estimated at around 1 in 1,000. Therefore, the odds of catching two foul balls in one game would be even more rare, likely around 1 in 1,000,000 or lower. It would require exceptional luck and positioning within the stadium.
The odds of being struck by lightning in a given year are about 1 in 500,000. However, this can vary depending on location and activities.
The faculty student ratio at Florida State University is approximately 1:26.
The ratio of non-working population to working age population is called the dependency ratio. It is used to assess the pressure placed on the working population to support the dependent population.