Variable definitions and distributions of exposure data from a consortium study on Carpal Tunnel Syndrome
| Autor: | Frederic E. Gerr, Ann Marie Dale, Matthew S. Thiese, Carisa Harris-Adamson, David Rempel, Barbara Silverstein, Linda Merlino, Jay Kapellusch, Arun Garg, Susan Burt, Stephen Bao, Kurt T. Hegmann, Bradley A. Evanoff |
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| Rok vydání: | 2015 |
| Předmět: |
Data processing
Engineering Data collection business.industry Clinical study design medicine.disease computer.software_genre Statistical power Medical Terminology Variable (computer science) Statistics medicine Data analysis Data mining Carpal tunnel syndrome business computer Exposure data Medical Assisting and Transcription |
| Zdroj: | Proceedings of the Human Factors and Ergonomics Society Annual Meeting. 59:1239-1242 |
| ISSN: | 1071-1813 2169-5067 |
| Popis: | Insufficient sample size causes lower statistical power that may hinder findings of relationships between occupational physical exposures and musculoskeletal disorders. To solve this problem, researchers often want to pool data with similar study designs together to increase the statistical power. However, a recent consortium study on the relationships between physical exposures and Carpal Tunnel Syndrome (CTS) found that due to slight differences in variable definitions, data collection procedures, data processing approaches, and data analysis methods, pooling data from multiple studies can be challenging. Using data independently collected by six research groups in 54 US workplaces in 10 US States, this paper presents some of the challenges in data pooling, and final selections of comparable variables. Distributions of the selected exposure data of 3010 subjects and variable definitions are presented. This abstract is based on a recent publication in Occupational and Environmental Medicine. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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