References in zbMATH (referenced in 12 articles )

Showing results 1 to 12 of 12.
Sorted by year (citations)

  1. Bhattacharjee, Atanu: Bayesian approaches in oncology using R and OpenBUGS (2021)
  2. Hadrien Charvat, Aurelien Belot: mexhaz: An R Package for Fitting Flexible Hazard-Based Regression Models for Overall and Excess Mortality with a Random Effect (2021) not zbMATH
  3. Berg, Arthur; Politis, Dimitris; Suaray, Kagba; Zeng, Hui: Reduced bias nonparametric lifetime density and hazard estimation (2020)
  4. Pullenayegum, Eleanor M.: Meeting the assumptions of inverse-intensity weighting for longitudinal data subject to irregular follow-up: suggestions for the design and analysis of clinic-based cohort studies (2020)
  5. Torsten Hothorn: Most Likely Transformations: The mlt Package (2020) not zbMATH
  6. Christopher Jackson: flexsurv: A Platform for Parametric Survival Modeling in R (2016) not zbMATH
  7. Haile, S. R.; Jeong, J.-H.; Chen, X.; Cheng, Y.: A 3-parameter Gompertz distribution for survival data with competing risks, with an application to breast cancer data (2016)
  8. Christopher Marcum; Carter Butts: Constructing and Modifying Sequence Statistics for relevent Using informR in R (2015) not zbMATH
  9. Nello Blaser; Luisa Vizcaya; Janne Estill; Cindy Zahnd; Bindu Kalesan; Matthias Egger; Thomas Gsponer; Olivia Keiser: gems: An R Package for Simulating from Disease Progression Models (2015) not zbMATH
  10. Ignacio López-de-Ullibarri; M. Amalia Jácome: survPresmooth: An R Package for Presmoothed Estimation in Survival Analysis (2013) not zbMATH
  11. Houpt, Joseph W.; Townsend, James T.: Statistical measures for workload capacity analysis (2012)
  12. Bouezmarni, T.; El Ghouch, A.; Mesfioui, M.: Gamma kernel estimators for density and hazard rate of right-censored data (2011)