ANALYSIS OF BIOMEDICAL TIME SERIES DATA

该项目的目标是：(1)描述 每日测定促性腺激素和促性腺激素的发育模式 月经前期女孩和青春期男孩的雌激素 尿黄体生成素放射免疫测定法， 尿卵泡刺激素和尿雌二醇， 雌三醇和雌酮激素；(2)两种去势的促性腺激素 和不同年龄的完整雄性猴子；(3)生长激素 青春期正常和性早熟儿童：(4)昼夜节律评估 以及心率、体温和其他序列数据中的其他节律 从人体长期研究中收集的；和(5)执行 使用统计方法对这些系列测量结果进行分析 时间序列分析，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.