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Biostatistics (Oxford, England)|May 21, 2020
Causal inference for recurrent event data using pseudo-observationsChien-Lin Su, Robert W Platt, Jean-François PlanteBiostatistics (Oxford, England)|May 27, 2020
Multiway generalized canonical correlation analysisArnaud Gloaguen, Cathy Philippe, Vincent Frouin, et al.Biostatistics (Oxford, England)|August 7, 2021
A sparse negative binomial mixture model for clustering RNA-seq count dataYujia Li, Tanbin Rahman, Tianzhou Ma, et al.Biostatistics (Oxford, England)|August 7, 2021
Tailored Bayes: a risk modeling framework under unequal misclassification costsSolon Karapanagiotis, Umberto Benedetto, Sach Mukherjee, et al.Biostatistics (Oxford, England)|November 9, 2025
Markov switching zero-inflated space-time multinomial models for comparing multiple infectious diseasesDirk Douwes-Schultz, Alexandra M Schmidt, Laís Picinini Freitas, et al.Biostatistics (Oxford, England)|January 20, 2026
Risk functions with outcome measurement errorJessie K Edwards, Stephen R Cole, Paul N Zivich, et al.Biostatistics (Oxford, England)|November 9, 2025
Identification and estimation of mediational effects of longitudinal modified treatment policiesBrian Gilbert, Katherine Hoffman, Nicholas Williams, et al.Biostatistics (Oxford, England)|October 17, 2025
Variable-based probabilistic calibration with binary outcomeHiroe Seto, Shuji Kitora, Asuka Oyama, et al.Biostatistics (Oxford, England)|April 14, 2020
A hidden Markov modeling approach for identifying tumor subclones in next-generation sequencing studiesHyoyoung Choo-Wosoba, Paul S Albert, Bin ZhuBiostatistics (Oxford, England)|September 1, 2021
Capturing discrete latent structures: choose LDs over PCsTheresa A Alexander, Rafael A Irizarry, Héctor Corrada BravoPageof 141