NHPPREG：一个用于分析带有协变量的非齐次泊松过程数据的计算机程序。

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

作者信息

Ciampi A, Dougherty G, Lou Z, Negassa A, Grondin J

机构信息

McGill University, Montreal Children's Hospital Research Institute, Canada.

出版信息

Comput Methods Programs Biomed. 1992 Jun;38(1):37-48. doi: 10.1016/0169-2607(92)90073-g.

DOI:10.1016/0169-2607(92)90073-g

PMID:1473337

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).

摘要

本文描述了一个用C语言编写的程序，该程序可找到具有协变量的点过程的回归系数和其他相关参数的最大似然估计值。假设数据来自泊松点过程，并且根据用户选择，可以完全参数化或半参数化地进行建模。此外，在参数化和半参数化方法中，都可以通过随机效应的方式引入额外的泊松变异。这项工作紧密遵循Lawless（1987）提出的理论。