Applying ideas from regression analysis with longitudinal data to SAS

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timer Asked: Oct 22nd, 2018

Question Description

I am having a hard time with this problem from a Longitudinal Data Analysis class. The problem is copy and pasted below:


Dental study data taken from Professor Marie Davidian website, NCSU.

Please follow the dental study example in her lecture notes for chapter 8. This can be found on Section 8.8 on pages 247-276 in her lecture for chapter 8. Please run the SAS code she has for this example and try to understand the SAS output. Please write a few paragraphs (one page) in which you explain the analysis she did and report the results. This includes interpreting the results, such as reporting conclusions based on p-values. No SAS code is needed, just the report where you explain your understanding of the analysis.

Below are the links to her course and to chapter 8 lecture notes.

https://www4.stat.ncsu.edu/~davidian/st732_sp2007/

https://www4.stat.ncsu.edu/~davidian/st732_sp2007/notes/chap8.pdf

Unformatted Attachment Preview

Homework 3 data sets Dental study data taken from Professor Marie Davidian website, NCSU. Please follow the dental study example in her lecture notes for chapter 8. This can be found on Section 8.8 on pages 247-276 in her lecture for chapter 8. Please run the SAS code she has for this example and try to understand the SAS output. Please write a few paragraphs (one page) in which you explain the analysis she did and report the results. This includes interpreting the results, such as reporting conclusions based on p-values. No SAS code is needed, just the report where you explain your understanding of the analysis. Below are the links to her course and to chapter 8 lecture notes. If you have questions, please email me. https://www4.stat.ncsu.edu/~davidian/st732_sp2007/ https://www4.stat.ncsu.edu/~davidian/st732_sp2007/notes/chap8.pdf data dent1; input obsno child age distance gender; cards; 1 1 8 21 0 2 1 10 20 0 3 1 12 21.5 0 4 1 14 23 0 5 2 8 21 0 6 2 10 21.5 0 7 2 12 24 0 8 2 14 25.5 0 9 3 8 20.5 0 10 3 10 24 0 11 3 12 24.5 0 12 3 14 26 0 13 4 8 23.5 0 14 4 10 24.5 0 15 4 12 25 0 16 4 14 26.5 0 17 5 8 21.5 0 18 5 10 23 0 19 5 12 22.5 0 20 5 14 23.5 0 21 6 8 20 0 22 6 10 21 0 23 6 12 21 0 24 6 14 22.5 0 25 7 8 21.5 0 26 7 10 22.5 0 27 7 12 23 0 28 7 14 25 0 29 8 8 23 0 30 8 10 23 0 31 8 12 23.5 0 32 8 14 24 0 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 9 8 20 0 9 10 21 0 9 12 22 0 9 14 21.5 0 10 8 16.5 0 10 10 19 0 10 12 19 0 10 14 19.5 0 11 8 24.5 0 11 10 25 0 11 12 28 0 11 14 28 0 12 8 26 1 12 10 25 1 12 12 29 1 12 14 31 1 13 8 21.5 1 13 10 22.5 1 13 12 23 1 13 14 26.5 1 14 8 23 1 14 10 22.5 1 14 12 24 1 14 14 27.5 1 15 8 25.5 1 15 10 27.5 1 15 12 26.5 1 15 14 27 1 16 8 20 1 16 10 23.5 1 16 12 22.5 1 16 14 26 1 17 8 24.5 1 17 10 25.5 1 17 12 27 1 17 14 28.5 1 18 8 22 1 18 10 22 1 18 12 24.5 1 18 14 26.5 1 19 8 24 1 19 10 21.5 1 19 12 24.5 1 19 14 25.5 1 20 8 23 1 20 10 20.5 1 20 12 31 1 20 14 26 1 21 8 27.5 1 21 10 28 1 21 12 31 1 21 14 31.5 1 22 8 23 1 22 10 23 1 22 12 23.5 1 22 14 25 1 23 8 21.5 1 90 23 10 23.5 1 91 23 12 24 1 92 23 14 28 1 93 24 8 17 1 94 24 10 24.5 1 95 24 12 26 1 96 24 14 29.5 1 97 25 8 22.5 1 98 25 10 25.5 1 99 25 12 25.5 1 100 25 14 26 1 101 26 8 23 1 102 26 10 24.5 1 103 26 12 26 1 104 26 14 30 1 105 27 8 22 1 106 27 10 21.5 1 107 27 12 23.5 1 108 27 14 25 1 ; run; Problem 6.2 Please ignore the comparison with the growth curve analysis in problem 6.2 part (a). 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 47.8 46.4 46.3 45.1 47.6 52.5 51.2 49.8 48.1 45.0 51.2 48.5 52.1 48.2 49.6 50.7 47.2 53.3 46.2 46.3 48.8 47.3 46.8 45.3 48.5 53.2 53.0 50.0 50.8 47.0 51.4 49.2 52.8 48.9 50.4 51.7 47.7 54.6 47.5 47.6 49.0 47.7 47.8 46.1 48.9 53.3 54.3 50.3 52.3 47.3 51.6 53.0 53.7 49.3 51.2 52.7 48.4 55.1 48.1 51.3 49.7 48.4 48.5 47.2 49.3 53.7 54.5 52.7 54.4 49.3 51.9 55.5 55.0 49.8 51.8 53.3 49.5 55.3 48.4 51.8
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