NHPPREG: a computer program for the analysis of nonhomogeneous Poisson process data with covariates

A. Ciampi, G. Dougherty, Zhiyi Lou, A. Negassa, J. Grondin

Research output: Contribution to journalArticlepeer-review

1 Scopus citations

Abstract

A program written in C is described which finds maximum likelihood estimates of regression coefficients and other relevant parameters for a point process with covariates. The data are assumed to come from a Poisson point process and may be modelled, at the user's choice, either totally parametrically or semi-parametrically. Furthermore, extra Poisson variation may be introduced, in both the parametric and semi-parametric approach, by the device of random effects. The work closely follows the theory developed by Lawless (1987).

Original languageEnglish (US)
Pages (from-to)37-48
Number of pages12
JournalComputer Methods and Programs in Biomedicine
Volume38
Issue number1
DOIs
StatePublished - Jun 1992
Externally publishedYes

Keywords

  • Maximum likelihood estimate
  • Poisson point process
  • Repeated failures

ASJC Scopus subject areas

  • Software
  • Computer Science Applications
  • Health Informatics

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