Analysis Core (AC)

The Analysis Core provides specialized expertise developing design, collecting and managing data, and providing and developing analytic methodology. The Analysis Core promotes novel lines of research by developing new methods specifically targeted to detect and measure reserve and resilience. Finally, the Analysis Core supports training objectives by developing fellow and faculty understanding of biostatistics and research methodology—critical areas of the research enterprise that are typically a knowledge gap in basic, translational, and clinical researchers.

The Analysis Core works closely with other components of the Duke OIAC to achieve shared goals. The Analysis Core collaborates with the two Resource Cores (Molecular Measures Core and Physical Measures Core) to manage the data and perform planned analyses. The Analysis Core collaborates within the OAIC investigators to direct study design and analysis, insuring that studies are properly powered and able to address their research questions, and, is positioned to expand these studies to evaluate additional or emerging hypotheses, including those that support methodologic investigations in statistical science, a unique goal of this Core.

AIMS of the Analysis Core
  1. Provide data management and analytic support to funded and proposed projects, pilots, and junior faculty and OAIC investigations to enable research and to address hypotheses within our theme
  2. To develop and disseminate biostatistical analytic methodologies to advance the study of resilience and reserve
  3. To provide training and mentoring to the fellows and faculty in the Duke OAIC

Carl Pieper, DrPH
Associate Professor of Biostatistics & Bioinformatics

Dr Pieper explores the use of reliability/generalizability models in experimental design. In addition to incorporation of reliability, he studie powering longitudinal trials with multiple outcomes and substantial missing data using Mixed models. Interests also include use of Hierarchical Linear Models (HLM) or Mixed Models in modeling trajectories of multiple variables over time (e.g., physical and cognitive functioning and Blood Pressure). Current work involves methodologies in simultaneous estimation of trajectories for multiple variables within and between domains, modeling co-occuring change.

Jane Pendergast, PhD
Professor of Biostatistics & Bioinformatics

Dr Pendergast is a senior faculty member in the Department of Biostatistics & Bioinformatics, with specialized expertise in multivariate and longitudinal data. In 2017, Dr Pendergast received a prestigious Founders Award for distinguished service to the profession from the American Statistical Association. In 2018, Dr Pendergast received the B&B Department’s Gordon G. Hammes Faculty Teaching Award.

Richard Sloane, MS Senior Biostatistician

Alison Luciano, MS PhD Biostatistician II

Anatoli I. Yashin, PhD Research Professor and Core Biostatistician

Elizabeth Hauser, PhD Professor of Medical Genetics & Professor Biostatistics & Bioinformatics and Core Biostatistician

Maragatha Kuchibhatla, PhD Associate Professor of Biostatistics & Bioinformatics, Associate Professor of Psychiatry & Behavioral Sciences and Core Biostatistician

Andrew Shiloh, Data Manager

Research Education Component
Daniel Belsky, PhD Quantification of molecular signatures of resilience in aging
Rasheeda Hall, MD Resilience in older dialysis patients
Juliessa Pavon, MD Mobile health technology to improve hospital ambulatory activity
Micah McClain, MD Genomic signatures of resilience to viral infections

Pilot/Exploratory Studies Core
Miles Berger, MD Preoperative exercise to enhance resilience after surgery
Amy McNulty, PhD Rejuvenation of aging chondrocytes to enhance reserve and prevent osteoarthritis
James White, PhD The role of autophagy in aged satellite cells: optimizing muscle reserve

Externally Funded Projects
MURDOCK Study (Newby, K, PI, Pieper, C, Statistician)

Healthy Aging Study (Morey M, PI)

Dunedin Study Quantification of molecular signatures of resilience in aging (Moffit, T, PI)

CALERIE Biomarkers of Caloric Restriction in Humans: The Comprehensive Assessment of the Long-term Effects of Reducing Intake of Energy (CALERIE) Biorepository (Kraus, WE; Pieper, C, Co-PIs)

Gerofit Implementation Project (Morey, M, PI, Pieper, C, Statistician)

Protein supplementation in caloric restriction for weight loss to prevent loss of lean mass (Bales, C, PI, Pieper, C, Statistician)

Baseline (Newby, K, in collaboration with Morey and Physical Measures Core)

PTSD CDA The Exercise as Adjuvant Therapy for Veterans with PTSD Study (Hall, K, PI)