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.

中文翻译：

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不完整的信息量簇大小的模式混合模型：应用于重复妊娠研究。

NICHD连续妊娠研究的动机是不完整的信息量簇问题，该研究旨在研究妊娠结局与胎次之间的关系。这些妊娠结局可能与妇女一生中的出生数量有关，从而导致信息量不完整（在研究窗口末尾进行了检查）。通过将出生的终生数视为潜在变量，我们开发了一种信息量大的模式混合模型。我们将此方法与近似模式混合模型的简单替代方法进行比较。我们表明，潜在变量方法具有良好的统计特性，可用来估计出生体重的平均轨迹和随着胎次增加而发生的妊娠高血压的比例。