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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Defining and identifying local average treatment effects von Naimi, Ashley I, Whitcomb, Brian

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

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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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Naimi et al. Respond to “Demystifying Statistical Inference” von Naimi, Ashley I, Mishler, Alan E, Kennedy, Edward H

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

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

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

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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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Mediation misgivings: ambiguous clinical and public health interpretations of natural direct and indirect effects von NAIMI, Ashley I, KAUFMAN, Jay S, MACLEHOSE, Richard F

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Can Confidence Intervals Be Interpreted? 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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