In the full workers' data set, a new variable was created indicating whether the employee missed two or more days from work in the past 4 weeks because of illness. Another variable was created which grouped self-rated job performance as high (9 or 10) vs. low (0 – 8). Using logistic regression to assess the association between absence and self-job performance rating, the following estimated model was obtained. a. The standard error for the estimated slope coefficient was 0.0379. Calculate the odds ratio, its 95% confidence interval, and interpret the results. b. Now assume we want to adjust for the potential confounding influence of gender and age. Adding these two variables to the model gives the following: The standard errors for the estimated slope coefficients are 0.0383, 0.0408, anc 0.0017, respectively. For each variable in the model calculate the odds ratio, 95% confidence interval, and interpret the results.
In the full workers' data set, a new variable was created indicating whether the employee missed two or more days from work in the past 4 weeks because of illness. Another variable was created which grouped self-rated job performance as high (9 or 10) vs. low (0 – 8). Using logistic regression to assess the association between absence and self-job performance rating, the following estimated model was obtained. a. The standard error for the estimated slope coefficient was 0.0379. Calculate the odds ratio, its 95% confidence interval, and interpret the results. b. Now assume we want to adjust for the potential confounding influence of gender and age. Adding these two variables to the model gives the following: The standard errors for the estimated slope coefficients are 0.0383, 0.0408, anc 0.0017, respectively. For each variable in the model calculate the odds ratio, 95% confidence interval, and interpret the results.
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
Related questions
Question
please solve it quickly for multiple vote
Transcribed Image Text:In the full workers' data set, a new variable was created indicating whether the
employee missed two or more days from work in the past 4 weeks because of
illness. Another variable was created which grouped self-rated job performance
as high (9 or 10) vs. low (0 - 8). Using logistic regression to assess the
association between absence and self-job performance rating, the following
estimated model was obtained.
a. The standard error for the estimated slope coefficient was 0.0379. Calculate
the odds ratio, its 95% confidence interval, and interpret the results.
b. Now assume we want to adjust for the potential confounding influence of
gender and age. Adding these two variables to the model gives the following:
The standard errors for the estimated slope coefficients are 0.0383, 0.0408, and
0.0017, respectively. For each variable in the model calculate the odds ratio,
95% confidence interval, and interpret the results.
Expert Solution
This question has been solved!
Explore an expertly crafted, step-by-step solution for a thorough understanding of key concepts.
This is a popular solution!
Trending now
This is a popular solution!
Step by step
Solved in 3 steps
Recommended textbooks for you
MATLAB: An Introduction with Applications
Statistics
ISBN:
9781119256830
Author:
Amos Gilat
Publisher:
John Wiley & Sons Inc
Probability and Statistics for Engineering and th…
Statistics
ISBN:
9781305251809
Author:
Jay L. Devore
Publisher:
Cengage Learning
Statistics for The Behavioral Sciences (MindTap C…
Statistics
ISBN:
9781305504912
Author:
Frederick J Gravetter, Larry B. Wallnau
Publisher:
Cengage Learning
MATLAB: An Introduction with Applications
Statistics
ISBN:
9781119256830
Author:
Amos Gilat
Publisher:
John Wiley & Sons Inc
Probability and Statistics for Engineering and th…
Statistics
ISBN:
9781305251809
Author:
Jay L. Devore
Publisher:
Cengage Learning
Statistics for The Behavioral Sciences (MindTap C…
Statistics
ISBN:
9781305504912
Author:
Frederick J Gravetter, Larry B. Wallnau
Publisher:
Cengage Learning
Elementary Statistics: Picturing the World (7th E…
Statistics
ISBN:
9780134683416
Author:
Ron Larson, Betsy Farber
Publisher:
PEARSON
The Basic Practice of Statistics
Statistics
ISBN:
9781319042578
Author:
David S. Moore, William I. Notz, Michael A. Fligner
Publisher:
W. H. Freeman
Introduction to the Practice of Statistics
Statistics
ISBN:
9781319013387
Author:
David S. Moore, George P. McCabe, Bruce A. Craig
Publisher:
W. H. Freeman