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AI 根据所提供的论文材料归类：材料明确讨论分位数回归及纵向条件百分位图，直接对应分位数与分布方法。
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关于纵向条件百分位图的讨论意见
- 研究问题
- 对同一个体反复测量时，条件或自适应百分位图如何利用既往记录，采用分位数回归及用于筛查又有哪些限制？
- 方法与思路
- 作者围绕Wei与He的方法提出三类谨慎意见，并以孕期第16至36周的舒张压监测情境具体化讨论。
- 材料陈述的贡献
- 材料肯定依赖既往历史的关系可随百分位变化这一灵活性，并提出回归分位数、条件百分位约束和筛查用途方面的问题。
- 阅读关注点
- 应核对三类意见的完整论证、历史信息如何进入各分位数，以及百分位图作为描述工具和筛查工具时的评价要求。
- 阅读边界
- 这是讨论意见，不能冒充主论文的方法成果。索引稿件版本未注明，片段只概述三类意见，未提供具体限制或实证结果。
原文摘要
I will use the terms "reference centiles" or "centile charts," as the setting that I consider here is more general than that of "growth charts."Longitudinal reference centiles over some measure of time (typically age) are almost always implemented repeatedly on the same individual.In this kind of setting the notion of conditional or adaptive centile charts is very appealing, particularly when the within-individual variability is much less than that between individuals.While marginal or unconditional centile charts are common in many areas of application, conditional charts are still rarely encountered and further methodological development in this area is to be welcomed.The flexibility of the quantile regression approach of Wei and He (WH), for instance in allowing the dependence on past history to vary across centiles, is most attractive, as are the rigor and scope of their consideration of the problem.I do, nevertheless, want to make a few cautionary remarks.The first relates to regression quantiles in particular, the second concerns a constraint common to all existing methods of constructing conditional percentiles, and the third and final point addresses the use of centile charts for screening.To concretize the discussion, the following setting will be considered throughout: the measurement of interest is assumed to be diastolic blood pressure in pregnant women, monitored between weeks 16 and 36 of pregnancy.There is typically an initial dip in blood pressure over this period, followed by a rise toward the end of pregnancy.