CFAR Biostatistics Core (CBC)
Dr. Mimi Kim, Director
Science at the heart of medicine
Division of Biostatistics
14 Doctoral, 4 Associate Level
Xiaonan Xue Wenzhu Bi Juan Lin
Charles Hall Cuiling Wang Yiting Yu
Yungtai Lo Kenny Ye Dan Wang
Abdissa Negassa Tao Wang Sam Xie
Hillel Cohen Moonseong Heo
Ryung Kim Shankar Viswanathan
Mimi Kim Baiyu Zhou
5 Professors, 4 Associate Professors, 5 Assistant Professors
Science at the heart of medicine
Organization
Division ofBiostatistics
CFARBiostatistics
Core
AECC Biostatistics
Shared Resource
ICTRBiostatistics
Core
EASBiostatistics
Core
Center for Quantitative
Sciences
Why do we need the CBC?
• Access to statisticians experienced in HIV/AIDS Research
• Increase in statistical personnel available to CFAR investigators
• Wider range of expertise
Personnel in CBC
Einstein campus:• Mimi Kim, Director (15% FTE)• Yungtai Lo, Doctoral level statistician (10% FTE)• Juan Lin, Masters level statistician (20% FTE)
Montefiore campus:• Moonseong Heo, Associate Director (26% FTE)• Yuming Ning, Doctoral level statistician (45% FTE)
Areas of expertise
• Laboratory experiments• Clinical trials• Epidemiologic studies• Longitudinal and clustered data• Mixture models• Missing data• Genetics/Genomics
Specific Aims
• Provide statistical and epidemiologic support on all phases of HIV/AIDS research studies
• Provide support for new HIV/AIDS-related research initiatives
• Identify new problems requiring the development of novel statistical methods
• Provide training and mentoring in research methodology
Aim 1: Support on all phases of AIDS research
• Study design (lab experiments, genomics and genetics studies, clinical trials, epi studies)
• Study conduct and monitoring
• Data presentation, analysis, interpretation, reporting
Aim 2: Support on new research initiatives
• Development of protocols and applications for peer-reviewed funding
• Formulation of hypotheses
• Sample size calculations
• Analytic plan
Aim 3: Methods Development
• Identify issues in AIDS research which need new methodological development
• Center for Quantitative Sciences in Biomedical Research
Aim 4: Training and Mentoring
Examples :• Biostatistics and Study Design: Identifying and Avoiding
Common Errors• Statistical methods in comparative effectiveness
research• Meta-analysis• Current approaches for adjusting for confounding in
observational studies• Microarray data pre-processing and normalization,
methylation analysis, DNA sequence analysis.
Policies
• No charge for short-term statistical support• No charge for grant proposals but statistical
collaborator should be included in the budget for appropriate % FTE
• Authorship: based on contribution to paper and independent of whether funding was received
Resubmission• Need to identify stat/epi needs in other cores
and CBC link to each core
-Clinical and Translational Investigation Core (M.Heo; Y. Ning)
-Flow Cytometry Core (J. Lin) -Virology Core (Y. Lo) -Immunology/Pathology Core (Y. Lo) -Animal Biohazard Core (J. Lin) -Developmental Core (M. Kim)
• Better coordination of CBC write-up with other cores
• Identify areas in AIDS research which need new methods development
• Ideas for short course/training topics for CFAR members