Data Management, Analysis and Informatics Core (DMAIC) provides centralized data management, statistical analysis services, and informatics expertise to Pepper affiliated investigators to address the unique issues involved in studying balance and mobility in older adults.
Leadership: Subashan Perera, PhD, FGSA, Charity Moore Patterson, PhD, MSPH
Study Design: We meet with Pepper investigators early in study conception to assist with:
- Data Analysis
- Data Management
- Informatics
- Center for Health Care: Data Center CTSI
- Physical Therapy Data Center
- Biomedical Informatics
- Computational and systems biology
Statistical Analysis: We use SAS as our main general purpose statistical software, and Salford Predictive Miner, Stata, SUDAAN, Solas, StatXact, LogXact, PASS, NQuery as needed for specific requirements involving classification/regression trees, frailty models, complex survey data, missing data, exact inference, and sample size/power computations.
- DMAIC is proficient in providing all standard analytic support such as general (ANOVA, ANCOVA, regression) and generalized (logistic/Poisson/negative binomial variations) linear models, generalized estimating equations and linear mixed model extensions of the above, survival analysis (Cox & frailty models), time series analysis (Box-Jenkings, ARIMA, ARCH) and multivariate methods (factor, cluster, principal component, discriminant, multivariate ANOVA analyses).
Informatics: DMAIC is available to provide informatics support to Pepper investigators. We assist with capabilities of various databases of the UPMC Health System, MARS, and falls data warehouse. We will assist in merging data across different databases using multiple identifiers; and de-identify the data for research using appropriate methods. Through access to these databases, we provide capabilities for real-time event surveillance such as falls, adverse drug event monitoring and adverse event monitoring in clinical trials.