如何在符合逻辑回归正交方案的泊松品脱过程模型中包括调查权重? [英] How can I include survey weights in a poisson pint process model fitted to a logistic regression quadrature scheme?

问题描述

是否可以在符合逻辑回归正交方案的泊松点过程模型中包含权重?我的数据是分层样本，我想说明这种抽样策略，以便获得有效的人口水平预测.

Is it possible to include weights in a poisson point process model fitted to a logistic regression quadrature scheme? My data is a stratified sample and I would like to account for this sampling strategy in order to have valid population level predictions.

推荐答案

以下是@ adrian-baddeley回答的几行内容.

Here are a few lines to elaborate on the answer by @adrian-baddeley.

如果您已经设置了相关问题，并且我们假设您在与quadscheme点的顺序相同:

If you have the setup of your related question and we imagine you have the weights and two covariates in a data.frame in the same order as the points of your quadscheme:

library(spatstat)
X <- split(chorley)$larynx
D <- split(chorley)$lung
Q <- quadscheme.logi(X,D)
covar <- data.frame(weights = runif(npoints(chorley)),
                    covar1 = rnorm(npoints(chorley)),
                    covar2 = rnorm(npoints(chorley)))
fit <- ppm(Q ~ offset(log(weights)) + covar1 + covar2, data = covar)

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