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Biostatistics (Oxford, England)|May 31, 2023
Quantification and statistical modeling of droplet-based single-nucleus RNA-sequencing dataAlbert Kuo, Kasper D Hansen, Stephanie C HicksBiostatistics (Oxford, England)|June 2, 2025
Identification and estimation of causal effects with confounders missing not at randomJian Sun, Bo FuBiostatistics (Oxford, England)|November 9, 2024
The impact of coarsening an exposure on partial identifiability in instrumental variable settingsErin E Gabriel, Michael C Sachs, Arvid SjölanderBiostatistics (Oxford, England)|May 29, 2026
High-dimensional test for one-sided hypothesesRongrong Wang, Shrabanti Chowdhury, Hanwen Huang, et al.Biostatistics (Oxford, England)|July 26, 2023
An integrative latent class model of heterogeneous data modalities for diagnosing kidney obstructionJeong Hoon Jang, Changgee Chang, Amita K Manatunga, et al.Biostatistics (Oxford, England)|May 5, 2026
A flexible class of latent variable models for the analysis of antibody response dataEmanuele Giorgi, Jonas WallinBiostatistics (Oxford, England)|April 13, 2026
Borrowing from historical control data in a Bayesian time-to-event model with flexible baseline hazard functionDarren A V Scott, Alex LewinBiostatistics (Oxford, England)|April 12, 2026
Joint modeling of high-dimensional longitudinal data and survival using supervised low-rank tensor decompositionMohammad Samsul Alam, Rima Kaddurah-Daouk, Sheng LuoBiostatistics (Oxford, England)|June 26, 2018
Temporally dependent accelerated failure time model for capturing the impact of events that alter survival in disease mappingRachel Carroll, Andrew B Lawson, Shanshan ZhaoBiostatistics (Oxford, England)|August 23, 2003
Testing for bias in weighted estimating equationsS Lipsitz, M Parzen, G Molenberghs, et al.Pageof 141