The Research Methods and Biostatistics Core offers comprehensive statistical, epidemiological, computational, and data science support to faculty, staff and students within the Barnett College of Public Health and throughout Temple University, as well as faculty and researchers at external institutions, agencies, healthcare systems, and industry partners. We provide expertise at all stages of research, including study design, grant and contract preparation, database development, statistical analysis, interpretation and presentation of findings, manuscript preparation, and methodological review of scholarly products.
The Research Methods and Biostatistics Core has access to a broad range of computational resources, statistical software, and personnel with expertise in statistical methodology, epidemiologic methods, data science, machine learning, artificial-intelligence-assisted analytics, data visualization, and data management. While our primary mission is to ensure rigorous and appropriate use of quantitative methods in research, the Research Methods and Biostatistics Core also provides end-to-end support ranging from database development and implementation to advanced data analysis, visualization, and production of publication-quality tables and figures for scientific presentations and manuscripts. Early collaboration with the Research Methods and Biostatistical Core can often strengthen study design, analytic rigor, funding competitiveness, and overall research impact.
What we do
Research Methods and Biostatistics Core members are available to collaborate throughout all phases of research and provide:
Grant/contract development including, but not limited to, study design and methods, questionnaire development, power and sample size calculations, and analytic sections to address specific aims and research questions;
Statistical and analytic collaboration on interdisciplinary research projects;
Methodological collaboration on interdisciplinary research projects;
Data management, cleaning, harmonization, and quality assurance;
Statistical programming, data analysis, and interpretation of findings;
Machine learning and AI-assisted analytic support for complex biomedical and public health data;
Participation in manuscripts, abstracts, reports, and presentations; and
Statistical and methodological review of scholarly products and research activities.
The expertise of Research Methods and Biostatistics Core faculty includes the following:
Clinical Trials and Research Design
Randomized clinical trials
Pragmatic and quasi-experimental study designs
Individual and group-randomized trials
Innovative trial designs (e.g., MOST, SMART, adaptive and hybrid designs)
Observational studies
Causal inference
Longitudinal and Complex Data Analysis
Longitudinal data analysis
Survival and time-to-event analysis
Hierarchical, multilevel, nested, and clustered data analysis
Semiparametric and flexible modeling approaches
Mixture models and latent class methods
Spatial analysis
Mediation and moderation analysis
Statistical methods for missing data and measurement error
Measurement and Behavioral Data Science
Survey/questionnaire development
Measurement development and psychometric evaluation
Latent variable and structural equation modeling
Population Health and Data Science
Analysis of complex survey and probability-based sampling data
Epidemiologic and public health data analysis
Observational data analysis
Machine learning and predictive modeling
AI-assisted analytics and computational methods for biomedical and public health research
Reproducible research and high-dimensional data analysis
Spatial analysis
Mediation and moderation analysis
Statistical methods for missing data and measurement error
