Outpatients (N = 36) with type 2 diabetes were referred back to the hospital because of the risk of developing chronic kidney disease (CKD) (possible kidney failure). During their follow-up, some patients were diagnosed with advanced (or end-stage) CKD, requiring an extension of their stay in the hospital, while others were readmitted for further medical assessment. Throughout the study, mortality and hospitalization rates, as well as bio-chemical lab test results, were reported. In addition, the attached data slice contains additional demographic data about the patient group. Q1: Write demographic and lifestyle su
Outpatients (N = 36) with type 2 diabetes were referred back to the hospital because of the risk of developing chronic kidney disease (CKD) (possible kidney failure). During their follow-up, some patients were diagnosed with advanced (or end-stage) CKD, requiring an extension of their stay in the hospital, while others were readmitted for further medical assessment. Throughout the study, mortality and hospitalization rates, as well as bio-chemical lab test results, were reported. In addition, the attached data slice contains additional demographic data about the patient group. Q1: Write demographic and lifestyle su
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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Question
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Biostatistics
Outpatients (N = 36) with type 2 diabetes were referred back to the hospital because of the risk of developing chronic kidney disease (CKD) (possible kidney failure). During their follow-up, some patients were diagnosed with advanced (or end-stage) CKD, requiring an extension of their stay in the hospital, while others were readmitted for further medical assessment. Throughout the study, mortality and hospitalization rates, as well as bio-chemical lab test results, were reported. In addition, the attached data slice contains additional demographic data about the patient group.
Q1: Write demographic and lifestyle summary with appropriate statistical tools of
Transcribed Image Text:PatientID Year Month Gender noking_stat
Townsend Marital_statuength_of_sta Re-admissiality_3Mortalit Management Age ucose_lev eGFR
1
2017 Feb
male
current
Most deprived Single
38 No
No
No
Insulin
72
1.8
61
2
2017 Feb
female
ex-smoker Most deprived Not recorded
22 No
No
No
Drugs
69
3.8
38
3
2017 Feb
female
non-smoker Third quintile
Married
37 Yes
No
Yes
Insulin
78
3.8
14
4
2017 Feb
female
current
Fourth quintile Divorced
5 No
No
No
Drugs
78
3.9
66
5
2017 Feb
female
ex-smoker Missing
Married
7 No
No
No
Insulin
77
2.8
37
6
2017 Feb
male
ex-smoker Third quintile
Married
4 Yes
No
No
Diet
54
3.9
10
7
2017 Feb
female
current
Third quintile
Married
2 Yes
No
No
Insulin
53
3.9
4
8
2017 Feb
female
ex-smoker Second quintile Not recorded
4 No
No
No
Insulin
58
3.7
15
9
2017 Feb
female
non-smoker Third quintile
Married
11 No
No
No
Insulin
53
3.9
10
10
2017 Feb
male
non-smoker Second quintile Married
18 Yes
No
Yes
Insulin
71
3.6
11
2017 Feb
male
ex-smoker Second quintile Not recorded
72 No
No
No
Insulin
60
3.8
12
12
2017 Feb
female
non-smoker Third quintile
Not recorded
10 No
No
Yes
Diet
92
3.9
39
13
2017 Feb
female
non-smoker Third quintile
Not recorded
8 Yes
No
No
Drugs and insi
65
3.9
16
14
2017 Feb
male
non-smoker Second quintile Not recorded
11 No
Yes
Yes
Insulin
73
3.3
19
15
2017 Feb
male
non-smoker Least deprived Not recorded
18 Yes
No
No
Drugs
78
3.5
25
16
2017 Feb
female
ex-smoker Fourth quintile Not recorded
74 Yes
No
Yes
Drugs and insı
72
3.9
53
17
2017 Feb
male
non-smoker Third quintile
Not recorded
9 Yes
No
No
Insulin
56
3.8
8
18
2017 Feb
male
ex-smoker Missing
Married
29 No
No
No
Drugs
68
3.2
64
19
2017 Feb
male
non-smoker Third quintile
Not recorded
8 No
No
No
Drugs
76
3.8
64
Transcribed Image Text:20
2017 Feb
male
non-smoker Fourth quintile Married
15 No
No
No
Drugs
72
3.5
66
21
2018 Feb
male
ex-smoker Least deprived Not recorded
29 No
No
No
Drugs and insı
77
3.7
53
22
2018 Feb
female
ex-smoker Fourth quintile Not recorded
8 Yes
No
No
Drugs
84
3.2
65
23
2018 Feb
female
non-smoker Missing
Married
2 No
Yes
Yes
Insulin
79
3.9
22
24
2018 Feb
male
non-smoker Fourth quintile Not recorded
6 Yes
No
No
Insulin
75
3.8
8
25
2018 Feb
female non-smoker Fourth quintile Not recorded
54 No
No
No
Insulin
58
12
26
2018 Feb
female
non-smoker Least deprived Not recorded
10 No
No
No
Drugs
75
3.7
57
27
2018 Feb
male
non-smoker Most deprived Not recorded
60 No
Yes
Yes
Insulin
53
1.9
11
28
2018 Feb
male
ex-smoker Fourth quintile Married
3 No
No
No
Insulin
53
3.9
57
29
2018 Feb
male
ex-smoker Third quintile
Not recorded
53 No
No
No
Insulin
49
3.4
75
30
2017 Mar
male
ex-smoker Third quintile
Not recorded
27 No
No
No
Insulin
62
3.3
50
31
2017 Mar
female
ex-smoker Most deprived Not recorded
3 No
No
No
Insulin
41
3.2
62
32
2017 Mar
female
non-smoker Third quintile
Married
4 Yes
No
Yes
Insulin
78
3.4
28
33
2017 Mar
male
ex-smoker Third quintile
Divorced
2 No
Yes
Yes
Diet
88
2.7
7
34
2017 Mar
female
non-smoker Second quintile Not recorded
6 No
No
No
Insulin
57
3.7
8
35
2017 Mar
female
current
Most deprived Single
35 No
No
No
Insulin
62
1.8
62
36
2017 Mar
male
non-smoker Least deprived Not recorded
6 No
No
No
Insulin
52
3.1
14
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