Events

The Statistical Analysis with Missing Data Workshop is a two-day intensive workshop of seminars and hands-on analytical sessions to provide an overview of concepts, methods, and applications for statistical analysis of health studies with missing data. This two-day intensive workshop integrates the principle concepts and methods commonly used in statistical analysis with missing data and their applications in surveys, longitudinal studies, and clinical trials. Led by a team of renowned experts in missing data research, this workshop will integrate seminar lectures with hands-on computer lab sessions and case studies to put concepts into practice. We will cover weighting, maximum likelihood, Bayes, and multiple imputation methods and use a wide variety of examples to illustrate the techniques and approaches. We will also discuss methods for missing not at random and the latest developments on missing data research. By the end of the workshop, participants will be familiar with the following topics: Missing data patterns and mechanisms Weighting methods Maximum likelihood methods Bayes and multiple imputation Approaches to missing not at random Missing data in surveys Missing data in longitudinal studies Missing data in clinical trials Audience and Requirements Investigators from all career stages are welcome to attend, and we particularly encourage trainees and early-stage investigators to participate. There are three requirements to attend this training: Each participant must be familiar with common methods of statistical analysis of complete data, such as multiple regression and logistic regression. Each participant must have experience with programming in R. Each participant is required to bring a personal laptop as all lab sessions will be done on your personal laptop. Each participant must have R downloaded and installed prior to attending the Workshop. Instructors Roderick J. Little, PhD, University of Michigan School of Public Health. Roderick J. Little is Richard D.  Qixuan Chen, PhD, Mailman School of Public Health, Columbia University. Qixuan Chen is Associate Professor of Biostatistics at Columbia University. Additional Information Subscribe for updates on new Training details and registration deadlines. Contact the Boot Camp team. Capacity is limited. Paid registration is required to attend.

Recent neuroimaging research reveals that many patients formerly thought to be unresponsive in coma and vegetative states are in fact conscious, raising many ethical and clinical questions. Please join us for a conversation with Dr. Fins about these fascinating and important challenges.   Speaker: Joseph J. Fins, M.D., M.A.C.P., F.R.C.P. is The E. William Davis, Jr. M.D. Professor of Medical Ethics and Chief of the Division of Medical Ethics at Weill Cornell Medicine where he is a Tenured Professor of Medicine, Professor of Medicine in Psychiatry, Professor of Medical Ethics in Neurology, Professor of Medical Ethics in Rehabilitation Medicine, and Professor of Health Care Policy and Research. He is the founding Chair of the Ethics Committee of New York-Presbyterian Weill Cornell Medical Center where he is an Attending Physician and Director of Medical Ethics. A member of the Adjunct Faculty of Rockefeller University and Senior Attending Physician at The Rockefeller University Hospital, he co-directs the Consortium for the Advanced Study of Brain Injury (CASBI) at Weill Cornell Medicine and Rockefeller. He is currently a Visiting Professor of Law at Yale Law School in addition to his appointment at Weill Cornell Medicine. Dr. Fins graduated from Wesleyan University (B.A. with Honors, The College of Letters, 1982) and Cornell University Medical College (M.D., 1986). He completed his residency in Internal Medicine and Fellowship in General Internal Medicine at The New York Hospital-Cornell Medical Center and has served as Associate for Medicine at The Hastings Center. He is a Diplomat of the American Board of Internal Medicine. He is author of over 500 papers, chapters, essays, and books, his most recent volume is Rights Come to Mind: Brain Injury, Ethics and The Struggle for Consciousness (Cambridge University Press, 2015). Moderated by: Robert Klitzman, M.D., Professor of Psychiatry at the College of Physicians and Surgeons and the Joseph Mailman School of Public Health and the Program Director of the Master of Science in Bioethics at Columbia University.   In Person Location: Vagelos College of Physicians and Surgeons Room: Amphitheater 1 630 W 168 Street, New York, NY 10032 (Between Broadway and Fort Washington Avenue)   This is a hybrid event and will be hosted both in person at at Vagelos College of Physicians and Surgeons and via Zoom. Registered guests will receive a Zoom link prior to the event. Lunch will be provided for those choosing to attend in person.   For further information, please contact Marie Gugnishev, mg4441@columbia.edu. To obtain additional information about program offerings at Columbia University’s School of Professional Studies, please contact an Admissions Counselor at inquire@sps.columbia.edu. If you require closed captioning, sign-language interpretation or any other disability accommodations, please contact Disability Services, disability@columbia.edu, at least 10 days in advance. Please visit Columbia University’s Hub for Emergency Preparedness to stay up to date on the latest campus health and safety policies. This event is open to individuals irrespective of identity and sex.

Benjamin Herzberg, MD Dept. of Medical Oncology Carla Concepcion-Crisol, PhD Assistant Professor of Molecular Pharmacology and Therapeutics   Title: Evaluating targeted therapies for SMARCA4-mutant non-small cell lung cancer Description:    Zoom Meeting https://columbiacuimc.zoom.us/j/97847371419?pwd=hNTcbh48XWXbHY2BMFflr6wLYQonOo.1  Meeting ID: 978 4737 1419 Passcode: seminar

episummer Assessing Neighborhoods in Epidemiology Course Description A large body of research in epidemiology and population health has investigated connections between neighborhood (e.g. residential, social and work) characteristics (e.g. crime rate, density of fast food restaurants, distance to parks) and a myriad of health outcomes (e.g. obesity, mental health, substance use). This research has characterized neighborhood factors in multiple ways. This one-day course will discuss standard and emerging methods to study neighborhood characteristics. In particular, the course will provide an overview of neighborhood characteristic assessment methods, including self-report, systematic social observation, geographic information system (GIS) methods, web-based geospatial methods, real-time geospatial methods, crowd-sourced geospatial methods and information retrieval methods. We will discuss the strengths and limitations of each neighborhood characteristic assessment methods (e.g. ease of administration, validity), and students will be provided with examples of each neighborhood assessment method applied in the epidemiology and population health literature. In addition, this course will discuss different methods to examine neighborhood boundaries, including self-report, administrative definitions, ego-centric buffers and global positioning system (GPS)-defined activity spaces. We will discuss the strengths and limitations of each method of examining neighborhood boundaries (e.g. spatial misclassification, technical difficulty), and students will be provided with examples of each neighborhood boundary applied in the epidemiology and population health literature.