从研究设计角度考虑如何避免数据缺失以及由此带来的问题(英文)

作     者：Julia Y. LIN 

作者机构：US Department of Veterans Affairs Cooperative Studies Program Coordinating Center Palo Alto VA Health Care System 

出 版 物：《上海精神医学》 (Shanghai Archives of Psychiatry)

年 卷 期：2012年第24卷第3期

页      码：181-184页

摘      要：One of the most common challenges in biomedical and psychosocial research is missing data, which occurs when respondents refuse to provide answers to sensitive questions and when study subjects are lost to follow-up during the repeated assessments of longitudinal trials. This paper is the first in a 3-part series focusing on this important topic; it describes different types of missing data and their differential effects on model estimates, focusing on study design strategies that can be used to prevent or minimize missing data and, thus, maintain the scientific integrity of the research. The second paper in the series will discuss implementation strategies

主 题 词：研究设计 missing longitudinal focusing estimates maintain repeated challenges minimize integrity 

学科分类：0402[教育学-体育学类] 1004[医学-公共卫生预防医学类] 1002[医学-临床医学类] 1001[医学-基础医学] 100401[100401] 1009[医学-法医学类] 10[医学] 

D　O　I：10.3969/j.issn.1002-0829.2012.03.010

馆 藏 号：203556511...