Kelley M Kidwell, PhD
Associate Chair for Academic Affairs, Department of Biostatistics, University of Michigan
Associate Professor, Department of Biostatistics, University of Michigan
Dr. Kidwell is interested in clinical trial design and analysis, particularly in Sequential Multiple Assignment Randomized Trials (SMARTs). Her methodological focus is on the design and analysis of SMARTs, more recently in the area of rare disease or small samples. She was principal investigator (PI) of a PCORI funded contract developing SMART design and methods in small samples (2016-2019) and now is the PI of a FDA funded contract continuing that work. She just received another PCORI methodology contract as PI to consider patient preferences in SMART design.
Dr. Kidwell is interested in collaborating with anyone in any area interested in implementing novel (SMARTs and other) clinical trial design. She has worked in areas such as breast cancer, emergency medicine, diabetes, mental health, and others.
Dr. Kidwell graduated in 2007 from Bucknell University with a B.S. in mathematics. She then went to get her PhD in Biostatistics from the University of Pittsburgh in 2012 where she also worked at the NSABP (now NRG). In her spare time, she enjoys spending time with her family and dog, traveling, baking, and being active.
Fang Fang, MS
PhD student
Fang’s interest lies in clinical trial designs and methodology. Her current research focuses on SMART design in small samples. She loves to spend her spare time hanging out with cats and playing video games.
Sidi Wang, MS
PhD student
Sidi received her B.S. in Economics and Finance (with specialization in mathematics and statistics) from University College Dublin in Ireland and M.S. in Business Analytics from National University of Singapore. Her research focuses on statistical methods for small n sequential, multiple assignment randomized trials (snSMARTs). She enjoys hiking, camping and sketching in her free time.
Mari Wank, MS
PhD student
Mari received her B.S. from Carnegie Mellon University, with a double major in Statistics and Decision Science, and her M.S. in Biostatistics from the University of Michigan. Her research focuses on the statistical methods and design of sequential multiple assignment randomized trials (SMART) that account for participants who may have specific treatment preferences. In her free time, Mari enjoys playing cello, golf, and spending time with her dog.
Sarah Medley, BS
MS student
Sarah received her BS from Oakland University with a double major in biology and mathematics. She is interested in adaptive design clinical trials, especially in oncology. In her free time, she enjoys cooking, hiking, and spending time with friends & family.
Qui Tran, PhD co-advised with Alex Tsodikov, now at Amgen
Holly Hartman, MS PhD
PhD Graduate 2021, co-advised with Matt Schipper; supported through the NIH Training Grant for Cancer Research in Biostatistics
Holly received her BS from University of Puget Sound with a double major in molecular and cellular biology and mathematics. She then attended University of Alabama at Birmingham for her MS in biostatistics. Holly is interested in trial design with applications in oncology. During her free time Holly hangs out with her dog and cat, works on ceramics, and cooks.
Holly is now faculty at Case Western Reserve University.
Yan-Cheng Chao, MS, PhD 2021
PhD Graudate 2021, co-advised with Tom Braun
Yan-Cheng received his B.S. in biotechnology from Fudan University in China and M.S. in both biostatistics and human genetics from the University of Michigan. His research focuses on the statistical methods and design of sequential, multiple assignment, randomized trial (SMART). In particular, he is interested in developing methods to better evaluate the effects of treatments and the sequences of treatments, or dynamic treatment regimens, in a framework of a small sample SMART. In his spare time, he enjoys playing badminton, watching sport games, exploring good places to eat and cooking.
Yan-Cheng is now at Eli Lilly.
Boxian Wei, PhD
PhD Graduate 2019, co-advised with Tom Braun and Roy Tamura
Boxian’s research focuses on Bayesian statistics with application in Phase I dose-finding trials and small sample, sequential, multiple assignment, randomized trials. He likes to play guitar and work out during spare time.
Boxian is now at Amgen
Kim Hochstedler, MS
Former PhD Student
Kim received her B.S. from Carnegie Mellon University, with a double major in Statistics and Psychology. Her research focuses on statistical methods for small n sequential, multiple assignment randomized trials (snSMARTs). In her free time, Kim enjoys swimming, baking, and spending time with friends and family.
Kim is now a PhD student at Cornell University.