TY - JOUR
AU - Lin, Kueiyu Joshua
AB - American Journal of Epidemiology, 2025, 194, 1470–1472 https://doi.org/10.1093/aje/kwaf024 Advance access publication date February 7, 2025 Letter to the Editor Note on targeted learning with an undersmoothed Lasso propensity score model for large-scale covariate adjustment in health care database studies ,1 2 3 4 5 6 7 8 Richard Wyss , Mark van der Laan , Susan Gruber , Xu Shi , Hana Lee , Sarah K. Dutcher , Jennifer C. Nelson , Sengwee Toh , 1 1 1 1 Massimiliano Russo , Shirley V. Wang , Rishi J. Desai , Kueiyu Joshua Lin Division of Pharmacoepidemiology and Pharmacoeconomics, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA 02120, United States Division of Biostatistics, School of Public Health, University of California, Berkeley, CA 94720, United States Putnam Data Sciences, LLC, Cambridge, MA 02139, United States Department of Biostatistics, School of Public Health, University of Michigan, Ann Arbor, MI 48109, United States Office of Biostatistics, Center for Drug Evaluation and Research, U.S. Food and Drug Administration, Silver Spring, MD 20903, United States Office of Surveillance and Epidemiology, Center for Drug Evaluation and Research, U.S. Food and Drug Administration, Silver Spring, MD 20903, United States Kaiser Permanente Washington Health Research Institute, Seattle, 
TI - Note on targeted learning with an undersmoothed Lasso propensity score model for large-scale covariate adjustment in health care database studies
JO - American Journal of Epidemiology
DO - 10.1093/aje/kwaf024
DA - 2025-02-07
UR - https://www.deepdyve.com/lp/oxford-university-press/note-on-targeted-learning-with-an-undersmoothed-lasso-propensity-score-aCZtu5Oodi
SP - 1470
EP - 1472
VL - 194
IS - 5
DP - DeepDyve
ER -