Proximity is measured over citations between two papers we both hold, weighted by how heavily one leans on the other, and is symmetric — it does not distinguish citing from being cited. Authors without a profile here are skipped, and a genuinely close colleague can be missing simply because their work is not in our arXiv corpus. Method: docs/06-citations-pipeline.md.
Papers
(1 of 23)
Precision mental health: predicting heterogeneous treatment effects for depression through data integration
published2025 · Journal of the Royal Statistical Society Series C (Applied Statistics)
with Carly L Brantner, Harsh Parikh, Congwen Zhao, Hwanhee Hong, Elizabeth A. Stuart, Carly L. Brantner
The challenges of integrating diverse data sources: A case study in major depression
published2025 · Health Services and Outcomes Research Methodology · 1 citations
with Carly Lupton-Smith, Wenshan Yu, Congwen Zhao, Kyungeun Jeon, Grace Ringlein, Qiao Wang, Elaona Lemoto, Jane P. Gagliardi, Peter P. Zandi, Benjamin A. Goldstein, Elizabeth A. Stuart, Hwanhee Hong, …
Identification of complier and noncomplier average causal effects in the presence of latent missing-at-random (LMAR) outcomes: a unifying view and choices of assumptions
published2024 · Biostatistics · 3 citations · first circulated 2023
Estimation of place-based vulnerability scores for HIV viral non-suppression: an application leveraging data from a cohort of people with histories of using drugs
published2024 · BMC Medical Research Methodology · 2 citations
with Laken Roberts, Carly Lupton Brantner, Gregory D. Kirk, Shruti H. Mehta, Sabriya L. Linton
Propensity Score Analysis With Latent Covariates: Measurement Error Bias Correction Using the Covariate’s Posterior Mean, aka the Inclusive Factor Score
published2020 · Journal of Educational and Behavioral Statistics · 5 citations · first circulated 2019
Sensitivity analyses for effect modifiers not observed in the target population when generalizing treatment effects from a randomized controlled trial: Assumptions, models, effect scales, data scenarios, and implementation details
Assembled from arXiv and OpenAlex. Duplicate records for the same paper are merged, and the published version is shown where we could identify one. Corrections welcome.