HADES

This accessible version replaces the original frameset with a single responsive page while preserving the original HADES content and in-site links.

HADES program 1.1 (release March 09, 2009) is written in Matlab. This program implements nonparametric hazard and density estimation from aggregated (binned) or censored data. Input formats include lifetables. The algorithm for hazard function estimation combines smoothing with local linear least squares with a transformation approach to reduce discretization bias. Options include centralized mortality rates q_c (method =1) or the transformation psi(x) = log(4/(2-x*Delta)-1) (method = 2, default). Density estimation is implemented via histogram smoothing by local linear least squares.

A related program for continuously observed non-aggregated survival data is the R routine muhaz

References:

Müller, H.G., Wang, J.L. (1994). Hazard rate estimation under random censoring with varying kernels and bandwidths. Biometrics 50, 61-76.

Müller, H.G., Wang, J.L., Capra, W.B. (1997). From lifetables to hazard rates: The transformation approach. Biometrika 84, 881-892.

Wang, J.L., Müller, H.G., Capra, W.B. (1998). Analysis of oldest-old mortality: Lifetables revisited. Annals of Statistics 26, 126-163.

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