Dose-Response Linear Regression Analysis

This script creates an experimental dataset containing dose measurements and systolic (SBP) and diastolic (DBP) blood pressures. It then uses the REG procedure to linearly model the effect of the dose on these two types of pressure and generates residual plots for model diagnostics.

Data Analysis

Type : CREATION_INTERNE

Data is included directly in the code via the DATALINES statement.

1 Code Block

DATA STEP Data

Explanation :
Creation of the 'DOSE_RESPONSE' dataset with three numerical variables: dose, systolic blood pressure (SBP), and diastolic blood pressure (DBP).

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1	DATA DOSE_RESPONSE;
2	INPUT DOSE SBP DBP;
3
4	DATALINES;
5	4 180 110
6	4 190 108
7	4 178 100
8	8 170 100
9	8 180 98
10	8 168 88
11	16 160 80
12	16 172 86
13	16 170 86
14	32 140 80
15	32 130 72
16	32 128 70
17	;

2 Code Block

PROC REG

Explanation :
Execution of simple linear regressions to predict SBP and DBP as a function of the DOSE variable. Plots crossing the dependent variables and residuals versus the explanatory variable are produced to check model assumptions.

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1	PROC REG;
2	title'Problem 5.8';
3	model SBP = DOSE;
4	plot (SBP residual.) * DOSE;
5	model DBP = DOSE;
6	plot (DBP residual.) * DOSE;
7	QUIT;

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