ANALYSIS OF BIOMEDICAL TIME SERIES DATA

这个项目的目标是：(1)描述发展的特征 每日测定促性腺激素和雌激素的模式 经前女孩和青春期男孩的放射免疫分析方法 用于测定尿黄体生成素、尿卵泡刺激性 激素，尿雌二醇、雌三醇和雌酮激素；(2) 不同年龄的去势和完整雄性猴子的促性腺激素； (3)正常和性早熟儿童的生长激素； 评估心率、体温和其他方面的昼夜节律和其他节律 从人体长期研究中收集的系列数据；以及(5)执行 使用统计时间方法对这些系列测量结果进行分析 序列分析，包括自回归滤波、自动和 互谱分析和稳健的平滑过程。

The objectives of this project are: (1) to characterize developmental patterns from daily measurements of gonadotropins and for estrogens in premenarchial girls and pubescent boys based on radioimmunoassay methods for measuring urinary luteinizing hormone, urinary follicle stimulating hormone, and urinary estradiol, estriol and estrone hormones; (2) gonadotropins in both castrated and intact male monkeys of different ages; (3) growth hormone in normal and precocious pubertal children; (4) to assess circadian and other rhythms in heart rate, temperature and other serial data collected from long-term studies in humans; and (5) to perform analysis of these serial measurements using methods of statistical time series analysis, including autoregressive filtering, auto- and cross-spectrum analysis, and robust smoothing procedures.