Muhaz

R package muhaz: Hazard Function Estimation in Survival Analysis. A package for producing a smooth estimate of the hazard function for censored data.

Keywords for this software

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References in zbMATH (referenced in 9 articles )

Showing results 1 to 9 of 9.
Sorted by year (citations)

  1. 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)
  2. Torsten Hothorn: Most Likely Transformations: The mlt Package (2020) not zbMATH
  3. Christopher Jackson: flexsurv: A Platform for Parametric Survival Modeling in R (2016) not zbMATH
  4. 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)
  5. Christopher Marcum; Carter Butts: Constructing and Modifying Sequence Statistics for relevent Using informR in R (2015) not zbMATH
  6. 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
  7. Ignacio López-de-Ullibarri; M. Amalia Jácome: survPresmooth: An R Package for Presmoothed Estimation in Survival Analysis (2013) not zbMATH
  8. Houpt, Joseph W.; Townsend, James T.: Statistical measures for workload capacity analysis (2012)
  9. Bouezmarni, T.; El Ghouch, A.; Mesfioui, M.: Gamma kernel estimators for density and hazard rate of right-censored data (2011)