Question

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(you can use R):

1. Report descriptive statistics (Summary statistics, histogram and boxplots for numerical variables and frequency table for categorical variables) and outliers (if there is any).

2. Use correlation analysis to find if DILIscore is significantly correlated with patient age? Is DILIscore significantly correlated with drug dose?

3. Use T test to find if there is any significant difference in DILIscore for male and female? Is there any significant difference in DILIscore for positive RO2 and negative RO2? Use anova to find if there is any difference in DILIscore among racial groups.

4. Build a multiple regression model for DILIscore and summarize your results.

PatientGender	Race	PatientAge	DILIscore_dose	RO2	Daily Dose (mg/day)
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

Answer 1