Pattern–Mixture Models with Incomplete Informative Cluster Size: Application to a Repeated Pregnancy Study
针对重复妊娠研究中因研究窗口截断导致的不完全信息性簇大小问题，提出一种将终生生育次数作为潜变量的模式混合模型，用于估计出生体重轨迹和妊娠高血压比例随胎次的变化。
The incomplete informative cluster size problem is motivated by the NICHD Consecutive Pregnancies Study, aiming to study the relationship between pregnancy outcomes and parity. These pregnancy outcomes are potentially associated with the number of births over a woman's lifetime, resulting in an incomplete informative cluster size (censored at the end of the study window). We develop a pattern mixture model for informative cluster size by treating the lifetime number of births as a latent variable. We compare this approach with a simple alternative method that approximates the pattern mixture model. We show that the latent variable approach possesses good statistical properties for estimating both the mean trajectory of birthweight and the proportion of gestational hypertension with increasing parity.