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Interaction in Theory and in Practice: Evaluating Combinations of Exposures in Epidemiologic Research.

• Authors : Whitcomb BW; Naimi AI

Subjects: Epidemiologic Studies*; Humans

• Source: American journal of epidemiology [Am J Epidemiol] 2023 Jun 02; Vol. 192 (6), pp. 845-848.Publisher: Oxford University Press Country of Publication: United States NLM ID: 7910653 Publication Model: Print Cited

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Defining and Identifying Average Treatment Effects.

• Authors : Naimi AI; Whitcomb BW

• Source: American journal of epidemiology [Am J Epidemiol] 2023 May 05; Vol. 192 (5), pp. 685-687.Publisher: Oxford University Press Country of Publication: United States NLM ID: 7910653 Publication Model: Print Cited

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Simple Approaches for Dealing With Correlated Data.

• Authors : Naimi AI; Whitcomb BW

• Source: American journal of epidemiology [Am J Epidemiol] 2023 Apr 06; Vol. 192 (4), pp. 507-509.Publisher: Oxford University Press Country of Publication: United States NLM ID: 7910653 Publication Model: Print Cited

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A Simulation Study Comparing the Performance of Time-Varying Inverse Probability Weighting and G-Computation in Survival Analysis.

• Authors : Rudolph JE; Schisterman EF; Naimi AI

Subjects: Cohort Studies*; Humans ; Probability

• Source: American journal of epidemiology [Am J Epidemiol] 2023 Jan 06; Vol. 192 (1), pp. 102-110.Publisher: Oxford University Press Country of Publication: United States NLM ID: 7910653 Publication Model: Print Cited

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Estimation of the Average Causal Effect in Longitudinal Data With Time-Varying Exposures: The Challenge of Nonpositivity and the Impact of Model Flexibility.

• Authors : Rudolph JE; Benkeser D; Kennedy EH

Subjects: Aspirin* ; Models, Statistical*; Pregnancy

• Source: American journal of epidemiology [Am J Epidemiol] 2022 Oct 20; Vol. 191 (11), pp. 1962-1969.Publisher: Oxford University Press Country of Publication: United States NLM ID: 7910653 Publication Model: Print Cited

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Use of a Doubly Robust Machine-Learning-Based Approach to Evaluate Body Mass Index as a Modifier of the Association Between Fruit and Vegetable Intake and Preeclampsia.

• Authors : Bodnar LM; Cartus AR; Kennedy EH

Subjects: Fruit* ; Pre-Eclampsia*/Pre-Eclampsia*/Pre-Eclampsia*/epidemiology; Body Mass Index

• Source: American journal of epidemiology [Am J Epidemiol] 2022 Jul 23; Vol. 191 (8), pp. 1396-1406.Publisher: Oxford University Press Country of Publication: United States NLM ID: 7910653 Publication Model: Print Cited

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The Role of the Natural Course in Causal Analysis.

• Authors : Rudolph JE; Cartus A; Bodnar LM

Subjects: Causality* ; Models, Theoretical*; Pregnancy Complications/Pregnancy Complications/Pregnancy Complications/*epidemiology

• Source: American journal of epidemiology [Am J Epidemiol] 2022 Jan 24; Vol. 191 (2), pp. 341-348.Publisher: Oxford University Press Country of Publication: United States NLM ID: 7910653 Publication Model: Print Cited

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Performance Evaluation of Parametric and Nonparametric Methods When Assessing Effect Measure Modification.

• Authors : Conzuelo Rodriguez G; Bodnar LM; Brooks MM

Subjects: Epidemiologic Methods* ; Models, Statistical*; Computer Simulation

• Source: American journal of epidemiology [Am J Epidemiol] 2022 Jan 01; Vol. 191 (1), pp. 198-207.Publisher: Oxford University Press Country of Publication: United States NLM ID: 7910653 Publication Model: Print Cited

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Adverse Cardiovascular Events Following Severe Maternal Morbidity.

• Authors : Cartus AR; Jarlenski MP; Himes KP

Subjects: Cardiovascular Diseases/Cardiovascular Diseases/Cardiovascular Diseases/*epidemiology ; Maternal Health/Maternal Health/Maternal Health/*statistics & numerical data ; Medicaid/Medicaid/Medicaid/*statistics & numerical data

• Source: American journal of epidemiology [Am J Epidemiol] 2022 Jan 01; Vol. 191 (1), pp. 126-136.Publisher: Oxford University Press Country of Publication: United States NLM ID: 7910653 Publication Model: Print Cited

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AIPW: An R Package for Augmented Inverse Probability-Weighted Estimation of Average Causal Effects.

• Authors : Zhong Y; Kennedy EH; Bodnar LM

Subjects: Causality* ; Data Interpretation, Statistical* ; Machine Learning*

• Source: American journal of epidemiology [Am J Epidemiol] 2021 Dec 01; Vol. 190 (12), pp. 2690-2699.Publisher: Oxford University Press Country of Publication: United States NLM ID: 7910653 Publication Model: Print Cited

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