The Biostatistics and Research Information Systems Core (BIC), part of Wake Forest School of Medicine’s Claude Pepper Older Americans Independence Center (OAIC), provides statistical and programming expertise in the areas of research design, quality control, statistical analyses and data management.
The BIC is composed of a team of highly-qualified investigators with expertise in:
- Observational and pilot studies
- Clinical trials
- Database development
- Centralized and decentralized data management
- Forms design
- Data processing
- Statistical analysis of data from multiple study designs
- Development of novel statistical methods
The BIC provides personnel and other resources to:
- Collaborate with investigators in the planning and conduct of OAIC Pilot and Research Development studies.
- Collaborate throughout all phases of the integration of OAIC Core measures in ongoing externally-funded studies.
- Collaborate with the Research Education Core to provide training to junior faculty in the conduct and analysis of geriatric research.
Faculty and master’s-level statisticians within the BIC participate in analyses, manuscript preparation and development/review of pilot study applications and other applications.
Collaboration on studies using innovative analytical methods continues to be an important activity of core members. Highlights include:
- Dr. Ip has co-authored a paper on a taxonomy of health in older persons (Applegate & Ip, 2016, JAMA, 316: 2487-2488).
- Dr. Miller has collaborated with Dr. Ard to publish his OAIC pilot looking at the impact on weight and physical function of intensive medical weight loss in older adults with stage II and III obesity (Obesity 2016 Sept;24(9):1861-6).
- Dr. Leng has collaborated with REC Scholar, Dr. Kim, to publish a report on the relationship between self-reported mobility and early postoperative outcomes after elective noncardiac surgery (Anesthesiology. 2016; 124:815-25), and with REC Scholar Dr. Henderson on gait speed responses to aerobic versus resistance exercise training (Aging Clin Exp Res. 2016; Sep 28 [Epub ahead of print]).