ISTAT, Rome, Italy.
MEMOTEF, Sapienza University of Rome, Rome, Italy.
Biom J. 2020 Jul;62(4):957-969. doi: 10.1002/bimj.201900111. Epub 2020 Jan 29.
We propose a method for estimating the size of a population in a multiple record system in the presence of missing data. The method is based on a latent class model where the parameters and the latent structure are estimated using a Gibbs sampler. The proposed approach is illustrated through the analysis of a data set already known in the literature, which consists of five registrations of neural tube defects.
我们提出了一种在存在缺失数据的情况下估算多记录系统中人群规模的方法。该方法基于潜在类别模型，使用 Gibbs 抽样器估计参数和潜在结构。通过分析文献中已经已知的数据集，说明了所提出的方法，该数据集由五个神经管缺陷登记组成。
