Kengo Nagashima, Ph.D.

I am a Project Associate Professor at Keio University.

My research interests are Survival Analysis, Meta-analysis, Diagnostic Statistics, Causal Inference, and Bayesian Inference.

I am also interested in Biomarkers in Clinical Trials, Cancer Clinical Trials, Adaptive Designs, Model Selection, Model Misspecification, Categorical Data Analysis, Exact Methods, Statistical Softwares, Missing Data, Semiparametric Models, Estimating Equations, Inference for High-dimensional Data, Statistical Machine Learning, Genetic Epidemiology, Population Pharmacokinetics, and Quasi-Monte Carlo Integration.

Curriculum vitae (PDF)

Contact Informations

Biostatistics Unit, Clinical and Translational Research Center, Keio University Hospital. 35 Shinanomachi, Shinjuku-ku, Tokyo 160-8582, Japan.

E-mail:

Website:

• https://nshi.jp/en/
• https://github.com/nshi-stat/

Package Sites

• surrosurvo
• gstest
• pimeta

Package Sites (CRAN)

• RevGadgets (postprocessing gadgets for RevBayes; CRAN Task View: Phylogenetics) [contributor]
• pimeta (prediction intervals for random-effects meta-analysis; Nagashima K, et al. Stat Methods Med Res 2019; CRAN Task View: MetaAnalysis)
• ph2bayes (Bayesian Single-Arm Phase II Designs; CRAN Task View: ExperimentalDesign)
• RcmdrPlugin.KMggplot2 (ggplot2 GUI frontend)
• mmcm (Modified Maximum Contrast Methods; Nagashima K, et al. Stat Appl Genet Mol Biol. 2011)