Susan Shortreed, PhD's research brings together statistics and machine learning methods to address health science problems, with a special emphasis on analyzing complex longitudinal data and overcoming missing-data challenges. Much of her methodological work is focused on developing and evaluating statistical inference approaches for observational data, such as data from electronic health care records or from randomized clinical trials with missing information. Dr. Shortreed is also interested in developing new machine learning methods and extending current best-practice methods, specifically for personalized dynamic treatment strategies, clustering, and model selection methods.
Dr. Shortreed earned her PhD in statistics from the University of Washington in 2006. After completing her degree, she spent two years in the Department of Epidemiology and Preventive Medicine at Monash University in Melbourne, Australia, and two years in the School of Computer Science at McGill University. Dr. Shortreed has collaborated with scientists in a broad range of areas including cancer screening, cardiovascular disease, and medication and vaccine safety. Currently, she works most often with researchers in mental and behavioral health, evaluating and comparing treatments for chronic pain, depression, and bipolar disorder, and interventions to prevent alcohol misuse, smoking, and suicide. Dr. Shortreed is an investigator with the Mental Health Research Network, designing studies to address important public health concerns, such as determining which antidepressant medications work best for which patients.
In addition to her work at Kaiser Permanente Washington Health Research Institute, Dr. Shortreed is an affiliate associate professor at the University of Washington Biostatistics Department. She serves on the executive board for the American Statistical Association’s Section on Statistics in Epidemiology and the editorial board of the Journal of the Royal Statistical Society, Series C: Applied Statistics.
Analysis of complex longitudinal data and data collected from electronic health records; methods for overcoming missing data; computational statistics and algorithms; variable selection methods
Biostatistics; data mining
Biostatistics; treatment for chronic depression and bipolar disorder; suicide prevention; developing personalized dynamic treatment strategies
Simon GE, Shortreed SM, Coley RY, Penfold RB, Rossom RC, Waitzfelder BE, Sanchez K, Lynch FL. Assessing and minimizing re-identification risk in research data derived from health care records. EGEMS (Wash DC). 2019;7(1):6. doi: 10.5334/egems.270. PubMed
Shortreed SM, Cook AJ, Coley RY, Bobb JF, Nelson JC. Challenges and opportunities for using big health care data to advance medical science and public health. Am J Epidemiol. 2019 Mar 16. pii: 5381891. doi: 10.1093/aje/kwy292. [Epub ahead of print]. PubMed
Shortreed SM, Rutter CM, Cook AJ, Simon GE. Improving pragmatic clinical trial design using real-world data. Clin Trials. 2019 Mar 13:1740774519833679. doi: 10.1177/1740774519833679. [Epub ahead of print]. PubMed
Simon GE, Yarborough BJ, Rossom RC, Lawrence JM, Lynch FL, Waitzfelder BE, Ahmedani BK, Shortreed SM. Self-reported suicidal ideation as a predictor of suicidal behavior among outpatients with diagnoses of psychotic disorders. Psychiatr Serv. 2018 Dec 10:appips201800381. doi: 10.1176/appi.ps.201800381. [Epub ahead of print]. PubMed
Chen L, Pocobelli G, Yu O, Shortreed SM, Osmundson SS, Fuller S, Wartko PD, McCulloch D, Warwick S, Newton KM, Dublin S. Early pregnancy hemoglobin A1C and pregnancy outcomes: a population-based study. Am J Perinatol. 2018 Nov 30. doi: 10.1055/s-0038-1675619. [Epub ahead of print]. PubMed
Dublin S, Walker RL, Shortreed SM, Ludman EJ, Sherman KJ, Hansen RN, Thakral M, Saunders K, Parchman ML, Von Korff M. Impact of initiatives to reduce prescription opioid risks on medically attended injuries in people using chronic opioid therapy. Pharmacoepidemiol Drug Saf. 2018 Oct 30. doi: 10.1002/pds.4678. [Epub ahead of print]. PubMed
Von Korff M, Saunders K, Dublin S, Walker RL, Thakral M, Sherman KJ, Ludman EJ, Hansen RN, Parchman M, Shortreed SM. Impact of chronic opioid therapy risk reduction initiatives on opioid overdose. J Pain. 2018 Sep 3. pii: S1526-5900(18)30494-2. doi: 10.1016/j.jpain.2018.08.003. [Epub ahead of print]. PubMed
Sherman KJ, Walker RL, Saunders K, Shortreed SM, Parchman M, Hansen RN, Thakral M, Ludman EJ, Dublin S, Von Korff M. Doctor-patient trust among chronic pain patients on chronic opioid therapy after opioid risk reduction initiatives: a survey. J Am Board Fam Med. 2018;31(4):578-587. doi: 10.3122/jabfm.2018.04.180021. PubMed
Simon GE, Johnson E, Lawrence JM, Rossom RC, Ahmedani B, Lynch FL, Beck A, Waitzfelder B, Ziebell R, Penfold RB, Shortreed SM. Predicting suicide attempts and suicide deaths following outpatient visits using electronic health records. Am J Psychiatry. 2018 May 24:appiajp201817101167. doi: 10.1176/appi.ajp.2018.17101167. [Epub ahead of print]. PubMed
Coleman KJ, Johnson E, Ahmedani BK, Beck A, Rossom RC, Shortreed SM, Simon GE. Predicting suicide attempts for racial and ethnic groups of patients during routine clinical care. Suicide Life Threat Behav. 2018 Mar 24. doi: 10.1111/sltb.12454. [Epub ahead of print]. PubMed
Led by KPWHRI scientists, study aims to target those who need interventions most.
Read it in News and Events.
With support from the Garfield Memorial Fund, Kaiser Permanente researchers are using big data to help customize and improve care for depression.
Read it in News and Events.
Mental health research excels at linking bad experiences to poor outcomes, writes Dr. Greg Simon. Here’s how to focus on recovery and resilience instead.
Read about it in Healthy Findings.