.png){kind=icon}
返回
Analyzing data from open enrollment groups: Current considerations and future directions
.png){kind=icon}
PRE
AI
DOI：10.1016/j.jsat.2007.08.005.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
Difficulties in modeling turnover in treatment-group membership have been cited as one of the major impediments to ecological validity of substance abuse and alcoholism treatment research. In this review, our primary foci are on (a) the discussion of approaches that draw on state-of-the-science analytic methods for modeling open-enrollment group data and (b) highlighting emerging issues that are critical to this relatively new area of methodological research (e.g., quantifying membership change, modeling holiday effects, and modeling membership change among group members and leaders). Continuing refinement of new modeling tools to address these analytic complexities may ultimately lead to the development of more federally funded open-enrollment trials. These developments may also facilitate the building of a community-friendly treatment research portfolio for funding agencies that support substance abuse and alcoholism treatment research. (c) 2008 Elsevier Inc. All rights reserved.
Keyword:
treatment groups
open enrollment
data analysis
期刊
IF:
4
论文数:
3.7K
被引数:
7.6K
机构
引用论文
Can the national addiction treatment infrastructure support the public's demand for quality care?
PREAI
分享收藏
分享收藏分享收藏分享收藏分享收藏6-Gingerol-rich fraction prevents disruption of histomorphometry and marker enzymes of testicular function in carbendazim-treated rats.png)
Andrologia
AndrologiaIF0
PREAI
分享收藏 没有更多内容
没有更多内容