(a)DiedKamp01WNPOS03.89952.48.123The following output table was produced from a logistic regression model analysing astudy to investigate association between likelihood of death (outcome) and visualimpairment (exposure) taking into account the confounding effect of agegroup:Key to variables in the table:died: 0= alive 1 = diedvimp (visual impairment):(1)(11)(iii)(iv)agegroup (age group):years 3 = 065 yearsOddsRatioconstant(v)REQUIRED12.2022670= unimpaired0=15-34 years1Std. Err Z(base)0.5019659 3.461 = impaired1 = 35-54 years 2 = 55-64[95% Conf. Interval]23.93P>|z|(base)0.5548493 3.64 0.0001.556834 5.88 0.0002.3549895.4154899.901317 2.932375 7.74 0.0000.01318560.00238510.0000.0011.408816, 3.4425921.484024, 3.7371203.082734, 9.5134785.541164, 17.692330.0092498, 0.0187961Interpret the odds ratio of 2.202267 reported for visual impairment (ximp).Interpret all the p-values.Calculate the odds of death among the 55-64 year-olds who are visually impaired.Calculate the odds ratio of death comparing the 55-64 year olds who are visually impairedto 065 year-olds who are visually unimpaired.Interpret the odds ratio estimated for the constant (OR=0.0131856).

The logistic regression model is constructed using the variables death, impairment and age group.The…

Answered: (a) The following output table was…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

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Problem 1P

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