Alcohol-Malformation Relationship Analysis

This script begins by creating a dataset named 'infants' from included raw data (CARDS). It uses the ' @@' (double trailing at) operator in the INPUT statement to read multiple observations per physical line. Subsequently, a PROC FREQ is executed to analyze the 'alcohol*malform' contingency table, weighted by the 'count' variable, generating Chi-square, Cochran-Mantel-Haenszel, and trend test statistics.

Data Analysis

Type : CREATION_INTERNE

Data is defined directly within the script via the CARDS statement. Each data line contains multiple triplets (malform, alcohol, count).

1 Code Block

DATA STEP Data

Explanation :
Creation of the SAS 'infants' table. The INPUT statement uses the ' @@' symbol to maintain the read pointer on the current line, allowing multiple records (sets of malform, alcohol, count variables) defined on a single physical line in the CARDS section to be read.

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1	DATA infants;
2	INPUT malform alcohol count @code_sas_json/8_SAS_Intro_ReadFile_MultiCol_@@.json;
3	CARDS;
4	1 0 17066 1 0.5 14464 1 1.5 788 1 4.0 126 1 7.0 37
5	2 0 48 2 0.5 38 2 1.5 5 2 4.0 1 2 7.0 1
6	;

2 Code Block

PROC FREQ

Explanation :
Execution of a frequency analysis. The WEIGHT statement indicates that the 'count' variable represents the number of occurrences. The TABLES statement cross-tabulates alcohol and malformation and requests Chi-square (CHISQ), Cochran-Mantel-Haenszel (CMH1) analysis, and trend test statistics (TREND).

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1	PROC FREQ;
2	WEIGHT count;
3	TABLES alcohol*malform/chisq cmh1 trend;
4	RUN;

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