ANALYSIS OF BIOMEDICAL TIME SERIES DATA

本项目的目标是：（1）表征 促性腺激素的日常测量的发育模式， 对青春期前女孩和青春期男孩的雌激素的影响， 测定尿促黄体激素的放射免疫测定方法， 尿促卵泡激素和尿雌二醇， 雌三醇和雌酮激素;（2）两种去势动物的促性腺激素 不同年龄的健康雄性猴的生长激素水平 正常和早熟的青春期儿童：（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系列测量结果 时间序列分析，包括自回归滤波，自动和 交叉频谱分析和稳健的平滑程序。

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.