TY - JOUR
AU - Cerda, Magdalena
AB - American Journal of Epidemiology, 2025, 194, 869–870 https://doi.org/10.1093/aje/kwae408 Advance access publication date January 28, 2025 Response to Letter to the Editor Santaella-Tenorio et al. respond to: Re: Estimation of opioid misuse prevalence in New York State counties, 2007-2018. A Bayesian spatio-temporal abundance model approach ,1 2 3 1 1 Julian Santaella-Tenorio , Staci Hepler , David M. Kline , Rivera-Aguirre Ariadne , Magdalena Cerda Center for Opioid Epidemiology and Policy, Department of Population Health, NYU Grossman School of Medicine, New York, NY 10016, United States Department of Biostatistics and Data Science, School of Medicine, Wake Forest University, Bowman Gray Center for Medical Education, Winston-Salem, NC 27101, United States Department of Statistical Sciences, Wake Forest University, Winston-Salem, NC 27109, United States *Corresponding author: Julian Santaella-Tenorio, Center for Opioid Epidemiology and Policy, Department of Population Health, NYU Grossman School of Medicine, 180 Madison Avenue, New York, NY 10016 (julian.santaella-tenorio@nyulangone.org) Key words: Bayesian model; opioids; prevalence; opioid misuse; New York. Bradley et al. discuss our article in which we estimate opioid robust to bias or misspecification of intercepts in abundance misuse prevalence in New York State (NYS) using a spatiotempo- models, such as the one we used in our study. ral abundance 
TI - Santaella-Tenorio et al. respond to: Re: Estimation of opioid misuse prevalence in New York State counties, 2007-2018. A Bayesian spatio-temporal abundance model approach
JO - American Journal of Epidemiology
DO - 10.1093/aje/kwae408
DA - 2025-01-28
UR - https://www.deepdyve.com/lp/oxford-university-press/santaella-tenorio-et-al-respond-to-re-estimation-of-opioid-misuse-kcGIeBmuCs
SP - 869
EP - 870
VL - 194
IS - 3
DP - DeepDyve
ER -