ANALYSIS OF BIOMEDICAL TIME SERIES DATA

该项目的目标是：（1） 每天测量促性腺激素和的发育模式 初潮前女孩和青春期男孩的雌激素基于 用于测量尿黄体生成激素的放射免疫测定方法， 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 以及不同年龄的完整雄性猴子； (3)生长激素 正常和性早熟儿童：（4）评估昼夜节律 以及心率、体温和其他串行数据中的其他节律 从人类长期研究中收集； (5) 执行 使用统计方法分析这些连续测量 时间序列分析，包括自回归过滤、自回归和 交叉谱分析和强大的平滑程序。

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.