Repeated Measurement Data Analysis Methods and SAS Programs

Author: Yu Songlin
Publisher:
Publish Date: 2004-03-01
Features: This book is reader-centered. In terms of writing style, it progresses from simple to complex and emphasizes practical application. For each analytical method, it provides theoretical introductions, example guidance, and result evaluations. Since the calculation of repeated measures data is generally large, each method systematically introduces SAS (Statistical Analysis System) programs. Readers can use their own data, guided by examples, to run SAS programs and obtain the desired results.
Repeated measures refer to multiple measurements of the same observation index for the same observation subject at different times or environments, used to analyze the trends of the observation index and related influencing factors. Repeated measures data are very common in various scientific fields. This book systematically introduces methods for analyzing such data, including:
- Variance analysis methods for single-group and multiple-group repeated measures data
- Analysis methods for repeated measures data with covariates
- Analysis methods for repeated measures data with categorical response variables
- Survival analysis methods for recurrent events, and other advanced statistical analysis techniques.
The primary readers of this book are researchers and statisticians in natural and social sciences. It can also serve as a textbook for master's and doctoral students in statistics at universities and colleges.