Inverse probability of treatment weighting with generalized linear outcome models for doubly robust estimation

Article Medicine, Research & Experimental

A comparison of covariate adjustment approaches under model misspecification in individually randomized trials

Mia S. Tackney et al.

Summary: Adjusting for baseline covariates in randomized trials can lead to power gains and protect against chance imbalances. However, for continuous covariates, adjusted methods may misspecify the relationship between the covariate and outcome. Through simulation studies, we find that G-computation, IPTW, AIPTW, and TMLE offer improvement over ANCOVA when there is a non-linear interaction between treatment and a skewed covariate in small sample sizes.

TRIALS (2023)

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Article Mathematical & Computational Biology

Making apples from oranges: Comparing noncollapsible effect estimators and their standard errors after adjustment for different covariate sets

Rhian Daniel et al.

Summary: This study revisits the issue of (non)collapsibility of effect measures in regression models for binary and time-to-event outcomes. It introduces a procedure for marginalizing estimates of conditional odds ratios and hazard ratios, demonstrating its performance in simulation studies and data reanalysis. Moreover, the study provides an educational summary of the issues surrounding (non)collapsibility and emphasizes the distinction between conditional and adjusted measures.

BIOMETRICAL JOURNAL (2021)

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Article Medicine, General & Internal

Association of Real-time Continuous Glucose Monitoring With Glycemic Control and Acute Metabolic Events Among Patients With Insulin-Treated Diabetes

Andrew J. Karter et al.

Summary: In this retrospective cohort study, insulin-treated patients with diabetes who were selected by physicians for real-time continuous glucose monitoring showed significant improvements in HbA1c and reductions in emergency department visits and hospitalizations for hypoglycemia compared to noninitiators, but there were no significant changes in emergency department visits or hospitalizations for hyperglycemia or for any reason.

JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION (2021)

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Article Mathematical & Computational Biology