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- September 13, 2020
- By menge

Assignments

Applied Regression Analysis and Other Multivariable Methods, 5^{th} ed, Kleinbaum et. al.

Incorporate any generated computer output. Show all work.

Chapter 11: Confounding and Interaction Due ________________

Pages: 242?256 2, 3, 4

Problem 2:

Using the appropriate regression coefficient as your measure of association, determine whether confounding exists. Explain.

Suppose that confounding was defined to require a comparison of crude versus adjusted (partial) correlation coefficients. What conclusion would you draw?

Problem 3:

Using the appropriate regression coefficient as your measure of association, determine whether confounding exists. Explain.

Suppose that confounding was defined to require a comparison of crude versus adjusted (partial) correlation coefficients. What conclusion would you draw?

What does this example illustrate about using a test of the hypothesis H_{0}: b_{2} = 0 in order to assess confounding.

Problem 4:

Fill in the following ANOVA table for the model .

Test if X_{2} should be entered into a model already containing X_{1}.

Test if X_{3} should be entered into a model already containing X_{1} & X_{2}.

Test if X_{2} & X_{3} should be entered into a model already containing X_{1}.

Based upon the previous tests, what is the most appropriate regression model?

Based upon the information provided, can you assess whether X_{1} is a confounder of the X_{2}?Y relationship? Explain.

Assignments

Applied Regression Analysis and Other Multivariable Methods, 5^{th} ed, Kleinbaum et. al.

Incorporate any generated computer output. Show all work.

Chapter 11: Confounding and Interaction Due ________________

Pages: 242?256 2, 3, 4

Problem 2:

Using the appropriate regression coefficient as your measure of association, determine whether confounding exists. Explain.

Suppose that confounding was defined to require a comparison of crude versus adjusted (partial) correlation coefficients. What conclusion would you draw?

Problem 3:

What does this example illustrate about using a test of the hypothesis H_{0}: b_{2} = 0 in order to assess confounding.

Problem 4:

Fill in the following ANOVA table for the model .

Test if X_{2} should be entered into a model already containing X_{1}.

Test if X_{3} should be entered into a model already containing X_{1} & X_{2}.

Test if X_{2} & X_{3} should be entered into a model already containing X_{1}.

Based upon the previous tests, what is the most appropriate regression model?

Based upon the information provided, can you assess whether X_{1} is a confounder of the X_{2}?Y relationship? Explain.

Assignments

Applied Regression Analysis and Other Multivariable Methods, 5^{th} ed, Kleinbaum et. al.

Incorporate any generated computer output. Show all work.

Chapter 11: Confounding and Interaction Due ________________

Pages: 242?256 2, 3, 4

Problem 2:

Problem 3:

What does this example illustrate about using a test of the hypothesis H_{0}: b_{2} = 0 in order to assess confounding.

Problem 4:

Fill in the following ANOVA table for the model .

Test if X_{2} should be entered into a model already containing X_{1}.

Test if X_{3} should be entered into a model already containing X_{1} & X_{2}.

Test if X_{2} & X_{3} should be entered into a model already containing X_{1}.

Based upon the previous tests, what is the most appropriate regression model?

Based upon the information provided, can you assess whether X_{1} is a confounder of the X_{2}?Y relationship? Explain.

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