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"I would highly recommend the ASIBS Short Course if you want to understand how and when to use different statistical approaches. The instructors were fantastic, and I left the course knowing how best to approach the design and analysis of the large-scale experiments I conduct. The mix of the online and in-class lectures was convenient and allowed me to learn on my own schedule. " -- Juliet Morrison, PhD, Associate Research Scientist, Center for Infection and Immunity, Columbia University Mailman School of Public Health

 

"The ASIBS Short Course was simply amazing and well worth the time and investment. The course is perfect for the clinician or basic scientist looking for an intense overview of practical analytic methods to directly apply in their research.  The online lectures provide a solid fundamental base, from the basics of what are types of variables to more complex topics such as multivariate linear and logistic regression.  Learning SAS in a hands-on environment using your own data, with a team of experts, during the onsite week was invaluable.  I was able to complete data analysis for three projects in the course of 'learning' SAS.  I now exclusively use SAS for data analysis and have a much better understanding of data analysis and interpretation.  Hands down the best post-graduate course I have taken!" -- Michael E. Bowdish, MD, Assistant Professor of Surgery and Director of Mechanical Circulatory Support in the Department of Surgery at Keck Hospital of the University of Southern California (USC) and the USC Cardiovascular Thoracic Institute

 
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"I found the ASIBS course to be the perfect balance of theory and practice in biostatistics. The exceptional online didactic lectures and assignments laid the foundation for the week-long in-person curriculum. It was great not only to put the theory into practice during the week, but also to meet our instructors and other trainees and to explore potential professional collaborations. The course directors, instructors, and coordinator are truly a phenomenal team! I would highly recommend the ASIBS course!" -- Bubu Banini, MD, PhD, Fellow, Gastroenterology and Hepatology, Virginia Commonwealth University

 

"I was able to understand essential concepts to build an adequate language to communicate with statisticians and develop enough independence to perform my own preliminary data assessment. The high-quality lectures, personalized weekly online office hours, and accessible faculty make ASIBS a unique program to consider for those interested in research. I highly recommend this course!" -- Dagmar F. Hernandez Suarez, MD, Chief Research Resident, University of Puerto Rico School of Medicine

 

 "Though I have an MPH from medical school, I needed the opportunity to review statistical tests and coding with SAS. The ASIBS course was perfect for this. I was able to refresh my knowledge and build some new skills in just the right amount of time." -- Tacara N. Soones, MD, Assistant Professor, Geriatrics and Palliative Medicine, Mount Sinai Hospital

 

 

"I greatly appreciate all the effort in teaching this course and iterating, and reiterating, the key concepts from both the statistics and the basic programming. It was a pleasure to be one of the participants and to learn the basics of SAS and R. The materials provided will continue to serve as a great reference in real experimental designs, data prep and analyses. It was also a great way to meet new colleagues and explore potential opportunities for collaboration." -- Radoslav Savic, PhD, Assistant Professor, Genetics and Genomic Sciences, Mount Sinai Hospital

 

"After taking the ASIBS Short Course, I noticed a big improvement in my work. I was more confident and efficient with conducting statistical analyses and evaluating methodology and results in peer review. The formatting of the course was very easy to work with and accommodating. The option of the online lectures was great because I was able to watch them at a time that fit my schedule and learn at the pace that was comfortable to me, but the hands-on applied learning in the in-person workshop was where the real magic happened. I learned how to operate SAS, an entirely new statistical software package to me, and developed a greater appreciation for what I was doing with biostatistics than I have ever gotten through past courses. It served as great refresher course of basic biostatistics as well as an option for learning to use common statistical software packages." -- Marissa Gowey, PhD, Postdoctoral Scholar, University of Alabama Obesity Training Program

 

"As a basic scientist needing to work with larger human data sets, I recognized my limited knowledge in biostatistics and therefore signed up to do the course. The course forced me to think about the way I design experiments among other things and I can now apply this knowledge to my current and future research." -- Ilse Daehn, PhD, Assistant Professor, Nephrology, The Icahn School of Medicine at Mount Sinai