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Statistical Methods in Medical Research|March 16, 2026
Flexible Bayesian modeling of non-equidispersed counts with penalized complexity priors in disease incidence studiesMahsa Nadifar, Hossein Baghishani, Thomas Kneib, et al.Statistical Methods in Medical Research|March 3, 2026
An ensemble approach to tensor learningJiaxin He, Jialiang LiStatistical Methods in Medical Research|April 12, 2026
A flexible semiparametric approach for robust causal inference with invalid instruments and unmeasured confounderYunlong Cao, Yuquan Wang, Dapeng Shi, et al.Statistical Methods in Medical Research|April 8, 2026
Implementing empirical likelihood within the causal inference framework to study causal effects of air pollution on reproductive developmentSima Sharghi, Kevin E Stoll, Sally W Thurston, et al.Statistical Methods in Medical Research|May 15, 2026
Empowering classification for multivariate functional data with simultaneous feature selectionShuoyang Wang, Guanqun Cao, Yuan HuangStatistical Methods in Medical Research|May 19, 2026
Handling missing data, skewness, and outliers in medical research: A robust factor analysis approach using the canonical fundamental skew-t distributionWan-Lun Wang, Luis M Castro, Tsung-I LinStatistical Methods in Medical Research|May 19, 2026
Estimating the effects of treatment regimes over the course of chronic disease: A multi-state causal framework with baseline confoundingMing DingStatistical Methods in Medical Research|April 28, 2026
Smooth transformation models for survival analysis: A tutorial using RSandra Siegfried, Bálint Tamási, Torsten HothornStatistical Methods in Medical Research|May 20, 2026
Likelihood-based modeling of covariate-specific time-dependent receiver operating characteristic curvesAinesh Sewak, Vanda Inácio, Joanne Wuu, et al.Statistical Methods in Medical Research|May 23, 2026
A quantile cure model with partially functional covariate effectsChyong-Mei Chen, Yingwei PengPageof 256