Amanda Hyre Anderson, PhD is Assistant Professor of Epidemiology and Senior Scholar within the Department of Biostatistics, Epidemiology, and Informatics and Center for Clinical Epidemiology and Biostatistics at the University of Pennsylvania Perelman School of Medicine. Dr. Anderson is a Co-Investigator of the Chronic Renal Insufficiency Cohort (CRIC) Study Scientific and Data Coordinating Center (SDCC), and is a highly engaged member of the CRIC Study network leading numerous initiatives and writing activities. Dr. Anderson’s major research interests address the epidemiology of kidney diseases with an emphasis on the causes and consequences of the excessive morbidity and mortality experienced by patients with chronic kidney disease (CKD). She is currently supported by an NIH/NIDDK K01 award, which encompasses an active CRIC ancillary study examining predictors and outcomes associated with hospitalized acute kidney injury in the setting of CKD. She is also the PI of a recently funded NIH/NIDDK R01 to investigate measures of fibrosis as predictors of clinical outcomes in the CRIC Study. Dr. Anderson led the development of the CRIC glomerular filtration rate estimating equation, the investigation of time-updated systolic blood pressure on renal outcomes, and the examination of cardiac biomarkers and incident heart failure among CRIC participants. Dr. Anderson has a methodological focus in the areas of survival analysis, competing risk analysis, and marginal structural analysis.
Harold Feldman, MD, MSCE is the George S. Pepper Professor of Public Health and Preventive Medicine; Professor of Epidemiology, Medicine (Renal Electrolyte and Hypertension Division), and Medicine in Pediatrics; Chair of the Department of Biostatistics, Epidemiology, and Informatics; and Director of the Center for Clinical Epidemiology and Biostatistics (CCEB) at the University of Pennsylvania. Dr. Feldman is the PI of the Scientific and Data Coordinating Center for NIDDK’s Chronic Renal Insufficiency Cohort Study (CRIC). Dr. Feldman also leads NIDDK’s Hemodialysis Fistula Maturation Cohort Study and the Coordinating Center of its Chronic Kidney Disease Biomarkers Consortium. Dr. Feldman’s published scholarship of more than 175 research publications has appeared in many of the leading journals of clinical research.
Jesse Yenchih Hsu, PhD is Assistant Professor of Biostatistics at University of Pennsylvania Perelman School of Medicine, Senior Scholar at the Center for Clinical Epidemiology and Biostatistics (CCEB), and Fellow at Leonard Davis Institute of Health Economics. Dr. Hsu joined the CCEB in 2014. Prior to that, he obtained his Ph.D. in biostatistics at the University of Pittsburgh, and completed his postdoctoral fellow training at the Center for Outcomes Research, The Children’s Hospital of Philadelphia and Wharton Statistics. Dr. Hsu is involved in multiple research projects related to renal diseases. He is one of the faculty biostatistician in the Scientific and Data Coordinating Center of the Chronic Renal Insufficiency Cohort Study (CRIC). His statistical research interests include sensitivity analyses in observational studies, designs and analyses of observational studies, and statistical analyses of two-stage dynamic treatment regimes in longitudinal studies. Dr. Hsu has a general interest in statistical applications to public health, epidemiology and health policy research.
J. Richard Landis, PhD is Professor and Director of Biostatistics in the Department of Biostatistics, Epidemiology, and Informatics at the University of Pennsylvania Perelman School of Medicine, and holds a secondary appointment as Professor of Statistics in the Wharton School. For more than forty years, Dr. Landis has been actively involved in collaborative biomedical research, specializing in the development and evaluation of methods for the analysis of categorical data. His publications in statistical methods include models for repeated measures, agreement measures, and longitudinal categorical data from epidemiological studies and complex sample surveys, and his collaborative publications include applications to cardiovascular, ophthalmology, respiratory, psychiatric, renal and urological research. In addition to serving as the Co-PI of the Scientific and Data Coordinating Center (SDCC) for the Chronic Renal Insufficiency Cohort Study (CRIC) (2001-18), Dr. Landis also serves as PI of the Data Coordinating Core for the Multidisciplinary Approach to Pelvic Pain (MAPP) Research Network (2008-19), and Co-PI of the Data Coordinating Center for the HemoDialysis Novel Therapies (HDNT) Consortium (2013-18).
Jason Roy, PhD is Associate Professor of Biostatistics in the Department of Biostatistics, Epidemiology, and Informatics at the University of Pennsylvania. His research interests are in the areas of causal inference, missing data, Bayesian non-parametric methods, and prediction modeling. His current methodological research focus is on developing Bayesian non-parametric for causal exposure effects and causal mediation models, as well as developing prediction models of structured and unstructured EHR data using data mining and machine learning. Dr Roy's collaborative research includes pharmacoepidemiology, chronic kidney disease, hepatitis, and infectious disease dynamics. Most of his collaborative research is on longitudinal, observational studies such as the Chronic Renal Insufficiency Cohort Study (CRIC). Dr. Roy has been a faculty biostatistician in the Scientific and Data Coordinating Center of CRIC for approximately 4 years.
Haochang Shou, PhD is Assistant Professor of Biostatistics in the Department of Biostatistics, Epidemiology, and Informatics at University of Pennsylvania. She obtained her PhD in Biostatistics from Johns Hopkins Bloomberg School of Public Health in 2014 and a B.Sc in Statistics from Peking University in China. She is a member of several statistical associations including ASA, ENAR, ICSA. She is also one of the editorial members for Scientific Reports. Her methodological research mainly focuses on novel statistical modeling and estimation techniques for multimodal functional and longitudinal measurements. Her collaborations span brain disorder studies, mental health, and biomarker evaluation for chronic kidney disease. Dr. Shou has been a faculty biostatistician in the Scientific and Data Coordinating Center of the Chronic Renal Insufficiency Cohort Study (CRIC) since August 2014 and is also one of the lead biostatisticians in the coordinating center for the NIDDK’s Chronic Kidney Disease (CKD) Biomarkers Consortium.
Wei (Peter) Yang, PhD is Assistant Professor of Biostatistics in the Department of Biostatistics, Epidemiology, and Informatics at the University of Pennsylvania. He joined the faculty in July 2009 after completing a year and a half in the Center for Clinical Epidemiology and Biostatistics (CCEB) as an Instructor. Prior to that time, he worked for three years as a Biostatistician in the Biostatistics Analysis Center in the CCEB. His methodological research focuses on estimation of time-varying treatment effects and optimal dynamic treatment regimes. He is also interested in disease risk prediction using statistical learning technique. Dr. Yang’s collaborative research is mainly in the area of nephrology and pharmacoepidemiology. Dr. Yang has been working in the Scientific and Data Coordinating Center for the Chronic Renal Insufficiency Cohort Study (CRIC) since 2008.
Dawei Xie, PhD is Assistant Professor of Biostatistics in the Department of Biostatistics, Epidemiology, and Informatics at the University of Pennsylvania. She joined the faculty in July 2007 after completing three years in the Center for Clinical Epidemiology and Biostatistics as an Instructor. Her primary method research interests are analysis of complex survey data with a special interest in small area estimation. She has been the lead biostatistician for a project with NCI, NCHS, CDC, and University of Michigan to develop new methods for combining information from national surveys such as the BRFSS and the NHIS. Her applied interests are in the areas of chronic kidney disease and disability research. Dr. Xie has led the biostatistics team in the Scientific and Data Coordinating Center of the Chronic Renal Insufficiency Cohort Study (CRIC) for more than 5 years and is also one of the lead biostatisticians in the coordinating center for the NIDDK’s Chronic Kidney Disease (CKD) Biomarkers Consortium. Dr. Xie is also involved in a pilot trial of novel therapies for hemodialysis patients. In the area of disability research, she is also involved with projects to study factors that affect the function change in elderly, or veterans with lower extremity amputations.