Bell Melanie L, Grunwald Gary K
Department of Preventive and Social Medicine, University of Otago, PO Box 913, Dunedin, New Zealand.
Biostatistics. 2004 Oct;5(4):633-48. doi: 10.1093/biostatistics/kxh014.
The statistical methodology for the analysis of replicated spatial point patterns in complex designs such as those including replications is fairly undeveloped. A mixed model is developed in conjunction with maximum pseudolikelihood and generalized linear mixed modeling by extending Baddeley and Turner's (2000, Australian and New Zealand Journal of Statistics 42, 283-322) work on pseudolikelihood for single patterns. A simulation experiment is performed on parameter estimation. Fixed- and mixed-effect models are compared, and in some respects the mixed model is found to be superior. An example using the Strauss process for modeling neuron locations in post-mortem brain slices is shown.
用于分析复杂设计（如包含重复的设计）中重复空间点模式的统计方法相当不完善。通过扩展Baddeley和Turner（2000年，《澳大利亚和新西兰统计学杂志》42卷，283 - 322页）关于单模式伪似然的研究，结合最大伪似然和广义线性混合建模开发了一个混合模型。对参数估计进行了模拟实验。比较了固定效应模型和混合效应模型，发现在某些方面混合模型更具优势。展示了一个使用施特劳斯过程对死后脑切片中神经元位置进行建模的示例。
