ANALYSIS OF BIOMEDICAL TIME SERIES DATA

本项目的目标是：（1）表征发展性 促性腺激素和雌激素的每日测量模式， 基于放射免疫测定方法的月经前期女孩和青春期男孩 用于测定尿促黄体生成素、尿促卵泡生成素 激素、尿雌二醇、雌三醇和雌酮激素;（2） 不同年龄去势和未去势雄性猴的促性腺激素; (3)正常和性早熟青春期儿童的生长激素;（4） 评估昼夜节律和其他节奏的心率，温度和其他 从人类长期研究中收集的系列数据;（5）进行 使用统计时间方法分析这些连续测量 系列分析，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.