REGRESSION METHODS FOR INFERTILITY DATA

描述：（根据申请人的描述改编）研究者 提出了两类随机效应回归模型处理 在不孕症结局研究中出现的多水平聚类， 特别是与体外受精治疗相关的那些， 胚胎移植（IVF-ET）。 来自正在进行的IVF-ET结局研究的数据将被分析并用于 研究模型的性质。 两个是临床因素的研究， 影响结果，第三种使用数字图像处理和视频 用显微镜对胚胎的生存能力进行分级，并将其与最终的怀孕联系起来 status. 越来越多地使用IVF-ET和其他辅助生殖方法， 提出了一些公共卫生、经济和伦理问题。 有 认识到需要在抗逆转录病毒疗法的成功与明智的应用之间取得平衡; 这需要了解可以优化健康怀孕的因素， 低级的

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.