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Biometrics|May 30, 2026
Multivariate causal effects: a Bayesian causal regression factor modelDafne Zorzetto, Jenna Landy, Corwin Zigler, et al.Biometrics|May 18, 2026
Knowledge-guided Bayesian biclustering model for omics data with noisy graphsQiyiwen Zhang, Wenrui Li, Suprateek Kundu, et al.Biometrics|May 21, 2026
A regularized multi-state model for covariate selection with interval-censored survival dataAriane Bercu, Agathe Guilloux, Cécile Proust-Lima, et al.Biometrics|May 21, 2026
Two-phase designs for biomarker studies when disease processes are under intermittent observationKecheng Li, Richard J CookBiometrics|May 21, 2026
Correcting random effect distributions to account for survivorship bias in individual heterogeneity Cormack-Jolly-Seber modelsBlanca Sarzo, Ruth King, Rachel McCreaBiometrics|August 21, 2020
Bayesian variable selection for non-Gaussian responses: a marginally calibrated copula approachNadja Klein, Michael Stanley SmithBiometrics|October 6, 2021
Bayesian nonparametric quantile process regression and estimation of marginal quantile effectsSteven G Xu, Brian J ReichBiometrics|September 1, 1987
On the small-sample performance of Efron's and of Gill's version of the product limit estimator under nonproportional hazardsJ H GeurtsBiometrics|November 29, 2022
Discussion on "Instrumental variable estimation of the causal hazard ratio," by Linbo Wang, Eric Tchetgen Tchetgen, Torben Martinussen, and Stijn VansteelandtBenjamin R Baer, Robert L Strawderman, Ashkan ErtefaieBiometrics|March 1, 1985
A comparison of several methods of estimating the survival function when there is extreme right censoringM L Moeschberger, J P KleinPageof 558