Data management for prospective research studies using SAS software.

ABSTRACT:

Background

Maintaining data quality and integrity is important for research studies involving prospective data collection. Data must be entered, erroneous or missing data must be identified and corrected if possible, and an audit trail created.

Methods

Using as an example a large prospective study, the Missouri Lower Respiratory Infection (LRI) Project, we present an approach to data management predominantly using SAS software. The Missouri LRI Project was a prospective cohort study of nursing home residents who developed an LRI. Subjects were enrolled, data collected, and follow-ups occurred for over three years. Data were collected on twenty different forms. Forms were inspected visually and sent off-site for data entry. SAS software was used to read the entered data files

SUBMITTER: Kruse RL 

PROVIDER: S-EPMC2546431 | biostudies-literature | 2008 Sep

REPOSITORIES: biostudies-literature