patientgender race patientage diliscore ro2_group dailydose Female White 76 0.43 Negative 10 Female Black 76 0.43 Negative 10 Female White 34 0.66 Negative 1.5 Female White 67 1.38 Negative 10 Male White 83 1.38 Negative 10 Male White 64 1.39 Negative 10 Female Black 49 1.71 Negative 10 Female Black 33 1.98 Negative 10 Male Black 55 2.05 Negative 40 Female White 74 2.44 Negative 20 Female White 30 2.54 Negative 20 Male Asian 44 2.6 Negative 75 Male Asian 32 2.73 Negative 100 Male Hispanic 59 2.74 Negative 50 Female Hispanic 67 3.08 Negative 500 Male White 32 3.08 Negative 300 Male White 43 3.08 Negative 300 Male White 32 3.23 Negative 200 Male White 45 3.29 Negative 400 Male White 36 3.29 Negative 400 Female White 10 3.29 Negative 400 Female Asian 32 3.33 Negative 1 Female Asian 12 3.45 Negative 80 Male Asian 58 3.5 Negative 35 Male Asian 66 3.5 Negative 35 Male Asian 53 3.7 Negative 1000 Male Black 26 3.73 Negative 400 Male White 48 3.81 Negative 600 Male White 39 3.81 Negative 600 Male White 61 3.82 Negative 6 Male White 55 4.02 Negative 10 Female Black 73 4.08 Positive 300 Female Asian 62 4.08 Positive 300 Female White 74 4.12 Positive 400 Female Black 74 4.14 Negative 500 Female White 80 4.16 Negative 1000 Female Black 84 4.16 Negative 1000 Male White 63 4.16 Negative 500 Female White 43 4.17 Negative 10 Male White 48 4.17 Positive 300 Male Asian 45 4.19 Negative 400 Male White 69 4.26 Positive 300 Female White 69 4.26 Positive 300 Male Black 61 4.3 Positive 200 Female White 74 4.3 Positive 200 Female White 34 4.56 Positive 300 Female White 26 4.56 Positive 300 Male White 41 4.59 Negative 2000 Female Hispanic 47 4.67 Negative 10 Researchers want to study Drug-induced liver injury (DILI). DILIscore in the data set indicates how serious the injury is. From the data, please answer the following questions: Univariate analysis: Use correlation analysis to find if DILIscore is significantly correlated with patient age? Is DILIscore significantly correlated with drug dose?
patientgender race patientage diliscore ro2_group dailydose Female White 76 0.43 Negative 10 Female Black 76 0.43 Negative 10 Female White 34 0.66 Negative 1.5 Female White 67 1.38 Negative 10 Male White 83 1.38 Negative 10 Male White 64 1.39 Negative 10 Female Black 49 1.71 Negative 10 Female Black 33 1.98 Negative 10 Male Black 55 2.05 Negative 40 Female White 74 2.44 Negative 20 Female White 30 2.54 Negative 20 Male Asian 44 2.6 Negative 75 Male Asian 32 2.73 Negative 100 Male Hispanic 59 2.74 Negative 50 Female Hispanic 67 3.08 Negative 500 Male White 32 3.08 Negative 300 Male White 43 3.08 Negative 300 Male White 32 3.23 Negative 200 Male White 45 3.29 Negative 400 Male White 36 3.29 Negative 400 Female White 10 3.29 Negative 400 Female Asian 32 3.33 Negative 1 Female Asian 12 3.45 Negative 80 Male Asian 58 3.5 Negative 35 Male Asian 66 3.5 Negative 35 Male Asian 53 3.7 Negative 1000 Male Black 26 3.73 Negative 400 Male White 48 3.81 Negative 600 Male White 39 3.81 Negative 600 Male White 61 3.82 Negative 6 Male White 55 4.02 Negative 10 Female Black 73 4.08 Positive 300 Female Asian 62 4.08 Positive 300 Female White 74 4.12 Positive 400 Female Black 74 4.14 Negative 500 Female White 80 4.16 Negative 1000 Female Black 84 4.16 Negative 1000 Male White 63 4.16 Negative 500 Female White 43 4.17 Negative 10 Male White 48 4.17 Positive 300 Male Asian 45 4.19 Negative 400 Male White 69 4.26 Positive 300 Female White 69 4.26 Positive 300 Male Black 61 4.3 Positive 200 Female White 74 4.3 Positive 200 Female White 34 4.56 Positive 300 Female White 26 4.56 Positive 300 Male White 41 4.59 Negative 2000 Female Hispanic 47 4.67 Negative 10 Researchers want to study Drug-induced liver injury (DILI). DILIscore in the data set indicates how serious the injury is. From the data, please answer the following questions: Univariate analysis: Use correlation analysis to find if DILIscore is significantly correlated with patient age? Is DILIscore significantly correlated with drug dose?
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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patientgender | race | patientage | diliscore | ro2_group | dailydose |
Female | White | 76 | 0.43 | Negative | 10 |
Female | Black | 76 | 0.43 | Negative | 10 |
Female | White | 34 | 0.66 | Negative | 1.5 |
Female | White | 67 | 1.38 | Negative | 10 |
Male | White | 83 | 1.38 | Negative | 10 |
Male | White | 64 | 1.39 | Negative | 10 |
Female | Black | 49 | 1.71 | Negative | 10 |
Female | Black | 33 | 1.98 | Negative | 10 |
Male | Black | 55 | 2.05 | Negative | 40 |
Female | White | 74 | 2.44 | Negative | 20 |
Female | White | 30 | 2.54 | Negative | 20 |
Male | Asian | 44 | 2.6 | Negative | 75 |
Male | Asian | 32 | 2.73 | Negative | 100 |
Male | Hispanic | 59 | 2.74 | Negative | 50 |
Female | Hispanic | 67 | 3.08 | Negative | 500 |
Male | White | 32 | 3.08 | Negative | 300 |
Male | White | 43 | 3.08 | Negative | 300 |
Male | White | 32 | 3.23 | Negative | 200 |
Male | White | 45 | 3.29 | Negative | 400 |
Male | White | 36 | 3.29 | Negative | 400 |
Female | White | 10 | 3.29 | Negative | 400 |
Female | Asian | 32 | 3.33 | Negative | 1 |
Female | Asian | 12 | 3.45 | Negative | 80 |
Male | Asian | 58 | 3.5 | Negative | 35 |
Male | Asian | 66 | 3.5 | Negative | 35 |
Male | Asian | 53 | 3.7 | Negative | 1000 |
Male | Black | 26 | 3.73 | Negative | 400 |
Male | White | 48 | 3.81 | Negative | 600 |
Male | White | 39 | 3.81 | Negative | 600 |
Male | White | 61 | 3.82 | Negative | 6 |
Male | White | 55 | 4.02 | Negative | 10 |
Female | Black | 73 | 4.08 | Positive | 300 |
Female | Asian | 62 | 4.08 | Positive | 300 |
Female | White | 74 | 4.12 | Positive | 400 |
Female | Black | 74 | 4.14 | Negative | 500 |
Female | White | 80 | 4.16 | Negative | 1000 |
Female | Black | 84 | 4.16 | Negative | 1000 |
Male | White | 63 | 4.16 | Negative | 500 |
Female | White | 43 | 4.17 | Negative | 10 |
Male | White | 48 | 4.17 | Positive | 300 |
Male | Asian | 45 | 4.19 | Negative | 400 |
Male | White | 69 | 4.26 | Positive | 300 |
Female | White | 69 | 4.26 | Positive | 300 |
Male | Black | 61 | 4.3 | Positive | 200 |
Female | White | 74 | 4.3 | Positive | 200 |
Female | White | 34 | 4.56 | Positive | 300 |
Female | White | 26 | 4.56 | Positive | 300 |
Male | White | 41 | 4.59 | Negative | 2000 |
Female | Hispanic | 47 | 4.67 | Negative | 10 |
Researchers want to study Drug-induced liver injury (DILI). DILIscore in the data set indicates how serious the injury is. From the data, please answer the following questions:
Univariate analysis: Use
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