Ashley Naimi
Ashley Naimi
Associate Professor, Department Epidemiology, Emory University
Verified email at - Homepage
Cited by
Cited by
An introduction to g methods
AI Naimi, SR Cole, EH Kennedy
International journal of epidemiology 46 (2), 756-762, 2017
Big data: a revolution that will transform how we live, work, and think
K Armstrong
Information, Communication & Society 17 (10), 1300-1302, 2014
Stacked generalization: an introduction to super learning
AI Naimi, LB Balzer
European journal of epidemiology 33 (5), 459-464, 2018
The parametric G-formula for time-to-event data: towards intuition with a worked example
AP Keil, JK Edwards, DR Richardson, AI Naimi, SR Cole
Epidemiology (Cambridge, Mass.) 25 (6), 889, 2014
Constructing inverse probability weights for continuous exposures: a comparison of methods
AI Naimi, EEM Moodie, N Auger, JS Kaufman
Epidemiology, 292-299, 2014
Extreme heat and risk of early delivery among preterm and term pregnancies
N Auger, AI Naimi, A Smargiassi, E Lo, T Kosatsky
Epidemiology, 344-350, 2014
Mediation misgivings: ambiguous clinical and public health interpretations of natural direct and indirect effects
AI Naimi, JS Kaufman, RF MacLehose
International journal of epidemiology 43 (5), 1656-1661, 2014
Mediation analysis for health disparities research
AI Naimi, ME Schnitzer, EEM Moodie, LM Bodnar
American journal of epidemiology 184 (4), 315-324, 2016
Analysis of occupational asbestos exposure and lung cancer mortality using the g formula
SR Cole, DB Richardson, H Chu, AI Naimi
American journal of epidemiology 177 (9), 989-996, 2013
Secular trends in preeclampsia incidence and outcomes in a large Canada database: a longitudinal study over 24 years
N Auger, ZC Luo, AM Nuyt, JS Kaufman, AI Naimi, RW Platt, WD Fraser
Canadian Journal of Cardiology 32 (8), 987. e15-987. e23, 2016
Altered mitochondrial regulation in quadriceps muscles of patients with COPD
AI Naimi, J Bourbeau, H Perrault, J Baril, C Wright‐Paradis, A Rossi, ...
Clinical physiology and functional imaging 31 (2), 124-131, 2011
Reflection on modern methods: demystifying robust standard errors for epidemiologists
MA Mansournia, M Nazemipour, AI Naimi, GS Collins, MJ Campbell
International Journal of Epidemiology 50 (1), 346-351, 2021
Human chorionic gonadotropin partially mediates phthalate association with male and female anogenital distance
JJ Adibi, MK Lee, AI Naimi, E Barrett, RH Nguyen, S Sathyanarayana, ...
The Journal of Clinical Endocrinology & Metabolism 100 (9), E1216-E1224, 2015
Estimating risk ratios and risk differences using regression
AI Naimi, BW Whitcomb
American journal of epidemiology, 2020
Causal inference in occupational epidemiology: accounting for the healthy worker effect by using structural nested models
AI Naimi, DB Richardson, SR Cole
American journal of epidemiology 178 (12), 1681-1686, 2013
Associations between area-level unemployment, body mass index, and risk factors for cardiovascular disease in an urban area
AI Naimi, C Paquet, L Gauvin, M Daniel
International journal of environmental research and public health 6 (12 …, 2009
A multistate framework for the analysis of subsequent injury in sport (M‐FASIS)
I Shrier, RJ Steele, M Zhao, A Naimi, E Verhagen, SD Stovitz, MJ Rauh, ...
Scandinavian Journal of Medicine & Science in Sports 26 (2), 128-139, 2016
Estimating the effect of cumulative occupational asbestos exposure on time to lung cancer mortality: using structural nested failure-time models to account for healthy-worker …
AI Naimi, SR Cole, MG Hudgens, DB Richardson
Epidemiology (Cambridge, Mass.) 25 (2), 246, 2014
Teaching yourself about structural racism will improve your machine learning
WR Robinson, A Renson, AI Naimi
Biostatistics 21 (2), 339-344, 2020
Machine learning for fetal growth prediction
AI Naimi, RW Platt, JC Larkin
Epidemiology (Cambridge, Mass.) 29 (2), 290, 2018
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