Naimi AI, Benkeser D, Rudolph JE. Computing True Parameter Values in Simulation Studies Using Monte Carlo Integration. Epidemiology. Accepted March 11 2025. PDF
Zheng Z, Kennedy EH, Bodnar LM, Naimi AI. Efficient Generalization and Transportation. Statistical Science. Accepted for Publication, Dec 29 2024. PDF
Naimi AI, Yu YH, Bodnar LM. Pseudo-Random Number Generator Influences on Average Treatment Effect Estimates Obtained with Machine Learning. Epidemiology. 2024 Nov 1;35(6):779-786. PDF
Rudolph JE, Kim K, Kennedy EH, Naimi AI. Estimation of the time-varying incremental effect of low dose aspirin on incidence of pregnancy. Epidemiology. 2023 Jan 1;34(1):38-44. PDF
Bodnar LM, Kirkpatrick SI, Naimi AI. Machine learning can improve the development of evidence-based dietary guidelines. Public Health Nutrition. 2022;25(9):2566-2569. PDF
Rudolph JE, Schisterman EF, Naimi AI. A simulation study comparing the performance of time-varying inverse probability weighting and g-computation in survival analysis. American Journal of Epidemiology. 2023 Jan 6;192(1):102-110. PDF
Rudolph JE, Benkeser D, Kennedy EH, Schisterman EF, Naimi AI. Estimation of the Average Causal Effect in Longitudinal Data with Time-Varying Exposures: The Challenge of Nonpositivity and the Impact of Model Flexibility. American Journal of Epidemiology. 2022 Oct 20;191(11):1962-1969. PDF
Kim K, Kennedy EH, Naimi AI. Incremental Intervention Effects in Studies with Many Timepoints, Repeated Outcomes, and Dropout. Journal of Causal Inference. 2021. PDF
Bodnar LM, Cartus A, Kennedy EH, Kirkpatrick S, Parisi S, Himes K, Parker C, Grobman W, Simhan H, Silver R, Wing D, Naimi AI. A doubly robust machine learning-based approach to evaluate modifiers of the association between fruit and vegetable intake and preeclampsia. American Journal of Epidemiology. 2022 Jul 23;191(8):1396-1406. PDF
Rudolph JE, Cartus A, Bodnar LM, Schisterman EF, Naimi AI. The role of the natural course in causal analysis. American Journal of Epidemiology. 2022 Jan 24;191(2):341-348. PDF
Conzuelo-Rodriguez G, Bodnar LM, Brooks MM, Wahed A, Kennedy EH, Naimi AI. Performance evaluation of parametric and nonparametric methods when assessing effect measure modification. American Journal of Epidemiology. 2022 Jan 1;191(1):198-207. PDF
Naimi AI, Perkins NJ, Mumford SL, Sjaarda LA, Platt RW, Silver RM, Schisterman EF. The per protocol effect of preconception-initiated low-dose aspirin on conception, pregnancy loss, and live birth. Annals of Internal Medicine. 2021 May;174(5):595-601. PDF
Naimi AI, Mishler A, Kennedy EH. Challenges in Obtaining Valid Causal Effect Estimates with Machine Learning Algorithms. American Journal of Epidemiology. 2023; 192(9): 1536–1544. PDF
Naimi AI, Rudolph JE, Kennedy EH, Cartus A, Kirkpatrick SI, Haas DM, Simhan H, Bodnar LM. Incremental propensity score estimation for time-fixed exposures. Epidemiology. 2021 Mar 1;32(2):202-208. PDF
Rudolph JE, Fox MP, Naimi AI. Simulation as a tool for teaching and learning epidemiologic methods. American Journal of Epidemiology. 2021 May 4;190(5):900-907. PDF
Rudolph JE, Lesko CR, Naimi AI. Causal Inference in the Face of Competing Events. Current Epidemiology Reports. 2020 Sep;7(3):125-131. PDF
Bodnar LM, Cartus AR, Kirkpatrick SI, Himes KP, Kennedy EH, Simhan HN, Grobman WA, Duffy JY, Silver RM, Parry S, Naimi AI. Machine learning as a strategy to account for dietary synergy: an illustration based on dietary intake and adverse pregnancy outcomes. American Journal of Clinical Nutrition. 2020 Jun 1;111(6):1235-1243. PDF
Cartus AR, Bodnar LM, Naimi AI. The impact of undersampling on the predictive performance of logistic regression and machine learning algorithms: A simulation study. Epidemiology. 2020 Sep;31(5):e42-e44. PDF
Naimi AI. Commentary: Obtaining Actionable Inferences from Epidemiologic Actions. Epidemiology. 2019 Mar;30(2):243-245. PDF
Naimi AI, Balzer L. Stacked Generalization: An Introduction to Super Learning. European Journal of Epidemiology. 2018. 33(5):459-464. PDF
Larkin JC, Naimi AI. Effect of population-specific birthweight curves on disparities in perinatal mortality in small-for-gestational age pregnancies. American Journal of Perinatology. 35(7):695-702. PDF
Naimi AI. Commentary: Integrating Complex Systems Thinking into Epidemiologic Research. Epidemiology. 2016; 27(6): 843-7. PDF
Naimi AI, Cole SR, Kennedy EH. An introduction to g methods. International Journal of Epidemiology. 2017; 46(2): 756-762. PDF
Naimi AI. The Counterfactual Implications of Fundamental Cause Theory. Current Epidemiology Reports. 2016; 3(1): 92-97. PDF
Naimi AI, Auger N. Cumulative risk of stillbirth in the presence of competing events. BJOG. 2016; 123(7): 1071-4. PDF
Naimi AI, Schnitzer ME, Moodie EE, Bodnar LM. Mediation Analysis for Health Disparities Research. American Journal of Epidemiology. 2016; 184(4): 315-24. PDF
Naimi AI. Invited Commentary: Boundless Science: Putting Natural Direct and Indirect Effects in a Clearer Empirical Context. American Journal of Epidemiology. 2015; 182(2):109-14. PDF
Naimi AI, Tchetgen Tchetgen EJ. Invited Commentary: Estimating Population Impact in the Presence of Competing Events. American Journal of Epidemiology. 2015; 181(8):571-4. PDF
Naimi AI, Kaufman JS. Invited Review: Counterfactual Theory in Social Epidemiology: Reconciling Analysis and Action for the Social Determinants of Health. Current Epidemiology Reports. 2015; 2(1):52-60. PDF
Naimi AI, Moodie EE, Auger N, Kaufman JS. Semiparametric Adjusted Exposure-Response Curves. Epidemiology. 2014; 25(6):919-22. PDF
Naimi AI, Moodie EE, Auger N, Kaufman JS. Stochastic mediation contrasts in epidemiologic research: Interpregnancy interval and the educational disparity in preterm delivery. American Journal of Epidemiology. 2014; 180(4): 436-45. PDF
Keil A, Edwards J, Richardson DB, Naimi AI, Cole SR. The Parametric g-Formula for Time-to-event Data: Intuition and a Worked Example. Epidemiology. 2014; 25(6): 889-897. PDF
Naimi AI, Kaufman JS, MacLehose RF. Mediation Misgivings: Ambiguous Clinical and Public Health Interpretations of Natural Direct and Indirect Effects. International Journal of Epidemiology. 2014; 43(5):1656-61. PDF
Naimi AI, Moodie EE, Auger N, Kaufman JS. Constructing Inverse Probability Weights for Continuous Exposures: A Comparison of Methods. Epidemiology. 2014; 25:292-299. PDF
Naimi AI, Richardson DB, Cole SR. Causal Inference in Occupational Epidemiology: Accounting for the Healthy Worker Effect by Using Structural Nested Models. American Journal of Epidemiology. 2013; 178(12):1681-1686. PDF
Cole SR, Richardson DB, Chu H, Naimi AI. Analysis of occupational asbestos exposure and lung cancer mortality using the G formula. American Journal of Epidemiology. 2013; 177(9): 989-996. PDF
Naimi AI, Cole SR, Westreich DJ, Richardson DB. Reply Re: A comparison of methods to estimate the hazard ratio with time varying confounding and nonpositivity. Epidemiology. 2012; 23(1): 179. PDF
Herring AH, Naimi AI. Invited Commentary: The Ecological Design. British Journal of Obstetrics and Gynaecology. 2012;119(13): 1638-1639. PDF
Naimi AI, Kaufman JS, Howe CJ, Robinson WB. Letter: Mediation Considerations: serum potassium and the racial disparity in diabetes risk. American Journal of Clinical Nutrition. 2011; 94(2):614-6. PDF
Naimi AI, Whitcomb BW. Inferential Statistics and Direct versus Inverse Problems. Accepted for Publication March 13 2025. PDF
Zivich PN, Naimi AI. A Primer on Neural Networks. American Journal of Epidemiology. Accepted for Publication July 30 2024. PDF
Naimi AI, Whitcomb BE. Inverse Probability Weighting for Categorical Exposures. American Journal of Epidemiology. Advance access publication date March 7, 2025. PDF
Banack HR, Mayeda ER, Fox MP, Naimi AI, Whitcomb BE. Collider Stratification Bias II: Magnitude of Bias. American Journal of Epidemiology. 2025;194:1149–1151 PDF
Whitcomb BE, Naimi AI. Interaction in Theory and in Practice: Evaluating Combinations of Exposures in Epidemiologic Research. American Journal of Epidemiology. 2023 Jun 2;192(6):845-848. PDF
Banack HR, Mayeda ER, Naimi AI, Fox MP, Whitcomb BE. Collider Stratification Bias I: Principles and Structure. American Journal of Epidemiology. 2023 Oct 10:kwad203. PDF
Naimi AI, Whitcomb BE. Defining and Identifying Local Average Treatment Effects. American Journal of Epidemiology. 2024;193:935–937. PDF
Naimi AI, Whitcomb BE. Defining and Identifying Average Treatment Effects. American Journal of Epidemiology. 2023 May 5;192(5):685-687. PDF
Naimi AI, Whitcomb BW. Simple Approaches for Dealing with Correlated Data. American Journal of Epidemiology. 2023 Apr 6;192(4):507-509. PDF
Whitcomb BE, Naimi AI. Defining, quantifying, and interpreting ‘noncollapsibility’ in epidemiologic studies of measures of effect. American Journal of Epidemiology. 2021;190(5):697-700. PDF
Naimi AI, Whitcomb BW. Estimating Risk Ratios and Risk Differences using Regression. American Journal of Epidemiology. 2020;189(6):508-510. PDF
Whitcomb BW, Naimi AI. Things don’t always go as expected: the example of non-differential misclassification of exposure – bias and error. American Journal of Epidemiology. 2020;189(5):365-368. PDF
Naimi AI, Whitcomb BW. Can confidence intervals be interpreted? American Journal of Epidemiology. 2020;189(7):631-633. PDF