Recent Webinar
ASA Section for Statistical Programmers and Analysts invites you to join the Webinar on:
How to Become a Fellow of the American Statistical Association (ASA)
Join us for an informative panel discussion on the process of becoming a Fellow of the American Statistical Association (ASA). This prestigious designation, awarded for nearly 100 years, honors individuals who have made significant contributions to the field of statistical science. Each year, the ASA’s Committee on Fellows can elect up to one-third of one percent of the association’s total membership, recognizing those with an established reputation for excellence and impact in the field.
In this session, we will explore the eligibility criteria and application process for ASA Fellowship, focusing on the essential requirements for consideration. We will discuss the nomination procedure, including how to prepare letters of support and supporting statements, as well as the ASA membership prerequisites. Don’t miss this opportunity to gain valuable insights into what it takes to become part of this esteemed group of statistical leaders.
When: Wednesday, December 04, 2024, from 12 PM – 1 PM Pacific / 3 PM – 4 PM Eastern.
Registration: https://us06web.zoom.us/meeting/register/tZ0qceCgrzojGdxbTJy-UF3lR9I-6fzeZ1HR
Cost: Free
Moderator: Tasneem Zaihra Rizvi, PhD, Sr. Biostatistician and Associate Professor, Surgery, School of Medicine, TUFTS University
Panelists:
Craig Mallinckrodt, PhD, Distinguished Biostatistician at Pentara
| Craig Mallinckrodt is a Distinguished Biostatistician at Pentara, a CRO specializing in neurodegenerative research, where he contributes broadly to support research in Alzheimer’s and other CNS diseases. Craig is a Fellow of the American Statistical Association and won the Royal Statistical Society’s award for Outstanding Contribution to the Pharmaceutical Industry. Dr. Mallinckrodt led several industry working groups, including the DIA Scientific Working Group on Estimands and Missing Data. He has authored four books, including books on longitudinal analyses, Estimands, Estimators, and Sensitivity Analyses and he has over 200 manuscripts on various statistical and clinical topics. Dr. Mallinckrodt led much of the early research into the MMRM analytic approach that resulted in this method’s widespread use. He also has extensive experience in all phases of clinical development and led the statistical work that resulted in global regulatory approvals for drugs in 10 indications. |
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David B. Allison, PhD, Dean, and Provost Professor at the Indiana University Bloomington
| Dr. David B. Allison is Dean, Distinguished Professor, and Provost Professor at the Indiana University Bloomington School of Public Health-Bloomington. His research interests include obesity and nutrition, quantitative genetics, clinical trials, statistical and research methodology, and research rigor and integrity. Co-Chair of the National Academy of Sciences’ Strategic Council for Research Excellence, Integrity, and Trust, he is known as an indefatigable champion for increased rigor in all of science and the unvarnished truthful communication of research. Dr. Allison is also a Fellow of the American Statistical Association. |
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Steven B. Cohen, PhD, Principal Scientist, RTI International
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Dr. Steven B. Cohen is a Principal Scientist at RTI International and has also served as the Vice President of Statistical and Data Sciences for the past 7 years. He has directed the efforts of an experienced staff of over 120 statisticians, biostatisticians, data scientists, and methodologists engaged in programs that include education, international, social, health, and behavioral statistics; data science; statistical methodology; and data analytics. He is currently the Principal Investigator for the National Health and Nutrition Examination Survey (NHANES). Dr. Cohen has authored over 150 journal articles and publications in the areas of biostatistics, survey research methodology, estimation, survey design, and health services research. He is co-author of the text, Methodological Issues for Health Care Surveys. Previously as Director of the Center for Financing, he led the Center's administration of surveys and development of large primary data sets, including the national Medical Expenditure Panel Survey (MEPS), to support healthcare policy and behavioral research and analyses.
He has also served as an Associate Professor at Johns Hopkins University and George Washington University. He is a Fellow of the American Statistical Association and an Elected member of the International Statistical Institute.
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Vipin Arora, PhD, Associate Vice President at Eli Lilly and Company
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Dr. Vipin Arora is currently Associate VP at Eli Lilly and Company and has 25+ years of Pharmaceutical Industry experience as a Lead Statistician, Manager, and Group Head in Statistical and Analytical Sciences. Vipin has led several successful projects in multiple Therapeutic Areas, including global regulatory interactions (FDA, EMA, Health Canada, Japan, etc.) and global medical affairs.
During his career, Vipin coached and mentored statisticians with diverse backgrounds and built new capabilities locally and internationally.
Outside his core job, Vipin has chaired (or co-chaired) scientific workshops, organized and/or spoken at several JSM and other Scientific meetings. Dr. Arora is also a Fellow of the American Statistical Association.
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Other Information:
The ASA’s Section on Statistical Programmers and Analysts (SSPA) invites students to apply for:
Grants:
SSPA Conference Grant Program for Students and Recent Graduates: A grant program to pay the primary registration fees for section members who have recently graduated and want to attend an ASA conference.
Details and requirements for both applications can be found here.