REGRESSION METHODS FOR INFERTILITY DATA

描述：(改编自应聘者S描述)调查人员 提出了两类随机效应回归模型进行处理 在不孕不育结局研究中出现的多水平聚类， 特别是与体外受精和治疗有关的问题 胚胎移植(IVF-ET)。 正在进行的试管受精-胚胎移植结果研究的数据将被分析并用于 研究模型的性质。两项是对临床因素的研究， 影响结果，第三个使用数字图像处理和视频 显微镜对胚胎活力进行分级并将其与最终妊娠联系起来 状态。 试管受精-胚胎移植和其他辅助生殖方法的日益广泛使用 提出了一些公共卫生、经济和伦理方面的问题。的确有 公认的需要平衡艺术的成功和明智的应用； 这需要了解可以优化健康怀孕的因素 很低的顺序。

DESCRIPTION: (Adapted from the applicant s description) The investigators propose two classes of random effects regression models for handling multi-level clustering which occurs in studies of outcome in infertility, particularly those related to treatments by in vitro fertilization and embryo transfer (IVF-ET). Data from ongoing outcomes research on IVF-ET will be analyzed and used to study properties of the models. Two are studies of clinical factors which affect outcome, and the third uses digital image processing and video microscopy to grade embryo viability and relate it to eventual pregnancy status. The growing use of IVF-ET and other methods of assisted reproduction has raised a number of public health, economic, and ethical concerns. There is a recognized need to balance the success of ART with judicious application; this requires knowledge of factors which can optimize healthy pregnancies of low order.