Reflection on modern methods: demystifying robust standard errors for epidemiologists von Mansournia, Mohammad Ali, Nazemipour, Maryam, Naimi, Ashley I, Collins, Gary S, Campbell, Michael J

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Things Don't Always Go as Expected: The Example of Nondifferential Misclassification of Exposure-Bias and Error von Whitcomb, Brian W., Naimi, Ashley I.

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Estimating Risk Ratios and Risk Differences Using Regression von Naimi, Ashley I, Whitcomb, Brian W

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Extreme Heat and Risk of Early Delivery Among Preterm and Term Pregnancies von Auger, Nathalie, Naimi, Ashley I., Smargiassi, Audrey, Lo, Ernest, Kosatsky, Tom

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Does weight mediate the effect of smoking on coronary heart disease? Parametric mediational g-formula analysis von Mokhayeri, Yaser, Nazemipour, Maryam, Mansournia, Mohammad Ali, Naimi, Ashley I, Kaufman, Jay S

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Machine learning as a strategy to account for dietary synergy: an illustration based on dietary intake and adverse pregnancy outcomes von Bodnar, Lisa M, Cartus, Abigail R, Kirkpatrick, Sharon I, Himes, Katherine P, Kennedy, Edward H, Simhan, Hyagriv N, Grobman, William A, Duffy, Jennifer Y, Silver, Robert M, Parry, Samuel, Naimi, Ashley I

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Effects of Hypothetical Interventions on Ischemic Stroke Using Parametric G-Formula von Mokhayeri, Yaser, Hashemi-Nazari, Seyed Saeed, Khodakarim, Soheila, Safiri, Saeid, Mansournia, Nasrin, Mansournia, Mohammad Ali, Kaufman, Jay S, Naimi, Ashley I

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Sexually transmitted infections and risk of hypertensive disorders of pregnancy von DePaoli Taylor, Brandie, Hill, Ashley V., Perez-Patron, Maria J., Haggerty, Catherine L., Schisterman, Enrique F., Naimi, Ashley I., Noah, Akaninyene, Comeaux, Camillia R.

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Analysis of ‘sensitive’ periods of fetal and child growth von Zhang, Xun, Tilling, Kate, Martin, Richard M, Oken, Emily, Naimi, Ashley I, Aris, Izzuddin M, Yang, Seungmi, Kramer, Michael S

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Stacked generalization: an introduction to super learning von Naimi, Ashley I., Balzer, Laura B.

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Secular Trends in Preeclampsia Incidence and Outcomes in a Large Canada Database: A Longitudinal Study Over 24 Years von Auger, Nathalie, MD, MSc, FRCPC, Luo, Zhong-Cheng, MD, PhD, Nuyt, Anne Monique, MD, FRCPC, Kaufman, Jay S., PhD, Naimi, Ashley I., PhD, Platt, Robert W., PhD, Fraser, William D., MD, MSc, FRCSC

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Periconceptional Dietary Quality and Metabolic Syndrome at 3 Years Postpartum von Bodnar, Lisa M, Jin, Qianhui, Naimi, Ashley I, Simhan, Hyagriv N, Catov, Janet M, Parisi, Sara M, Kirkpatrick, Sharon I

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Use of Sodium-Glucose Cotransporter-2 Inhibitors and Angiotensin Receptor-Neprilysin Inhibitors in Patients With Atrial Fibrillation and Heart Failure From 2021 to 2022: An Analysi... von Alonso, Alvaro, Morris, Alanna A, Naimi, Ashley I, Alam, Aniqa B, Li, Linzi, Subramanya, Vinita, Chen, Lin Yee, Lutsey, Pamela L

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Challenges in Obtaining Valid Causal Effect Estimates with Machine Learning Algorithms von Naimi, Ashley I, Mishler, Alan E, Kennedy, Edward H

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An introduction to g methods von Naimi, Ashley I, Cole, Stephen R, Kennedy, Edward H

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Defining and Identifying Average Treatment Effects von Naimi, Ashley I, Whitcomb, Brian W

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Interaction in Theory and in Practice: Evaluating Combinations of Exposures in Epidemiologic Research von Whitcomb, Brian W, Naimi, Ashley I

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Stochastic Mediation Contrasts in Epidemiologic Research: Interpregnancy Interval and the Educational Disparity in Preterm Delivery von NAIMI, Ashley I, MOODIE, Erica E. M, AUGER, Nathalie, KAUFMAN, Jay S

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Simple Approaches for Dealing With Correlated Data von Naimi, Ashley I, Whitcomb, Brian W

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Teaching yourself about structural racism will improve your machine learning von Robinson, Whitney R., Renson, Audrey, Naimi, Ashley

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