KPWHRI
Subscribe to newsletter
  • Our Research
    • Research Areas
      • Addictions
      • Aging & Geriatrics
      • Behavior Change
      • Biostatistics
      • Cancer
      • Cardiovascular Health
      • Child & Adolescent Health
      • Chronic Illness Management
      • Health Informatics
      • Health Services & Economics
      • Healthy Communities
      • Medication Use & Patient Safety
      • Mental Health
      • Obesity
      • Preventive Medicine
      • Social Determinants of Health
      • Vaccines & Infectious Diseases | COVID-19
    • Our Scientists
      • Adjunct Researchers
      • Affiliate Investigators
    • Collaborate with Us
    • Our Publications
    • Research Funding Sources
      • Grants Awarded
  • News and Events
    • Healthy Findings Blog
    • KPWHRI in the Media
    • Recent News
    • Events
    • KPWHRI Newsletter
      • Sign up for KPWHRI news
    • Recent videos
  • Get Involved
    • Be Part of a Study
    • Institutional Review Board
      • Should You Join a Study?
      • Protecting Your Privacy
  • About Us
    • KPWHRI Leadership
    • Career Opportunities
    • Capabilities
      • Research Clinic
      • Survey Research Program
      • Information Resources & Technologies
      • Research Communications
      • Learning Health System Program
  • Live Healthy
    • Top Topics
      • Back Pain
      • Healthy Aging
      • Healthy Weight
      • Mental Health
      • Quit Smoking
      • Vaccines

  Back to Biostatistics

Recent publications on Biostatistics

Putt ME, Shaw PA. Proceedings of the University of Pennsylvania 16th annual conference on statistical issues in clinical trials: Optimizing dose selection across the clinical trials spectrum. Clin Trials. 2025 Jun 10:17407745251346836. doi: 10.1177/17407745251346836. Online ahead of print. PubMed

Raman SR, Hammill BG, Shaw PA, Lee H, Toh S, Connolly JG, Dandreo KJ, Nalawade V, Tian F, Liu W, Li J, Hernández-Muñoz JJ, Glynn RJ, Desai RJ, Weberpals J. Analyzing missingness patterns in real-world data using the SMDI toolkit: application to a linked EHR-claims pharmacoepidemiology study. BMC Med Res Methodol. 2024;24(1):246. doi: 10.1186/s12874-024-02330-2.  PubMed

Wolock CJ, Williamson BD, Shortreed SM, Simon GE, Coleman KJ, Yeargans R, Ahmedani BK, Daida Y, Lynch FL, Rossom RC, Ziebell RA, Cruz M, Wellman RD, Coley RY. Importance of variables from different time frames for predicting self-harm using health system data. medRxiv [Preprint]. 2024:2024.04.29.24306260. doi: 10.1101/2024.04.29.24306260. PubMed

Weberpals J, Raman SR, Shaw PA, Lee H, Hammill BG, Toh S, Connolly JG, Dandreo KJ, Tian F, Liu W, Li J, Hernández-Muñoz JJ, Glynn RJ, Desai RJ. smdi: an R package to perform structural missing data investigations on partially observed confounders in real-world evidence studies.  JAMIA Open. 2024 Jan 31;7(1):ooae008. doi: 10.1093/jamiaopen/ooae008. eCollection 2024. PubMed

Wyss R, van der Laan M, Gruber S, Shi X, Lee H, Dutcher SK, Nelson JC, Toh S, Russo M, Wang SV, Desai RJ, Lin KJ. Targeted learning with an undersmoothed lasso propensity score model for large-scale covariate adjustment in healthcare database studies. Am J Epidemiol. 2024 Mar 21:kwae023. doi: 10.1093/aje/kwae023. [Epub ahead of print]. PubMed

Cruz M, Wei A, Hardin J, Radunskaya A. Long-term averages of the stochastic logistic map. J Differ Equ Appl.1-29. https://doi.org/10.1080/10236198.2024.2316379. PubMed

Bian Z, Moodie EEM, Shortreed SM, Lambert SD, Bhatnagar S. Variable selection for individualised treatment rules with discrete outcomes.  J R Stat Soc Ser C Appl Stat. 2023 Nov 2;73(2):298-313. doi: 10.1093/jrsssc/qlad096. eCollection 2024.  PubMed

Williamson BD, Huang Y. Flexible variable selection in the presence of missing data. Int J Biostat. 2024 Feb 13. doi: 10.1515/ijb-2023-0059. [Epub ahead of print]. PubMed

Desai RJ, Wang SV, Sreedhara SK, Zabotka L, Khosrow-Khavar F, Nelson JC, Shi X, Toh S, Wyss R, Patorno E, Dutcher S, Li J, Lee H, Ball R, Dal Pan G, Segal JB, Suissa S, Rothman KJ, Greenland S, Hernán MA, Heagerty PJ, Schneeweiss S. A PRocess guide for INferential studies using secondary data from routine ClinIcal Practice to evaLuate causal Effects of Drugs (PRINCIPLED): A report from the FDA Sentinel Innovation Center. BMJ. 2024 Feb 12:384:e076460. doi: 10.1136/bmj-2023-076460. PubMed

Amorim G, Tao R, Lotspeich S, Shaw PA, Lumley T, Patel RC, Shepherd BE. Three-phase generalized raking and multiple imputation estimators to address error-prone data.  Stat Med. 2024;43(2):379-394. doi: 10.1002/sim.9967. Epub 2023 Nov 21.  PubMed

  • ← Previous
  • 1 (current)
  • 2
  • 3
  • 4
  • 5
  • 6
  • 7
  • …
  • 31
  • Next →

Kaiser Permanente Washington Health Research Institute for:

  • Researchers & Collaborators
  • Health Professionals
  • Consumers & Patients
  • Study Participants
  • Media
  • Job Seekers

Our centers

  • Center for Accelerating Care Transformation
  • Center for Community Health and Evaluation

Affiliated organizations

  • Kaiser Permanente
  • Kaiser Permanente Washington
  • Washington Permanente Medical Group

Kaiser Permanente Washington Health Research Institute

1730 Minor Ave, Suite 1360
Seattle, WA 98101-1466
Phone: 206-287-2900
Fax: 206-287-2871
Contact us
Sign up for our newsletter
Get directions
Policy on Conflict of Interest
Nondiscrimination Notice and Language Access Services
Kaiser Permanente Research

©2025 KPWHRI

Site Map Terms of Use and Privacy Policy

  
Sign In

facebook.png

twitter.png

kp_linkedin.png

Land Acknowledgment
Our Seattle offices sit on the occupied land of the Duwamish and by the shared waters of the Coast Salish people, who have been here thousands of years and remain. Learn about practicing land acknowledgment.