范德堡尼日利亚生物统计培训计划(VN-BioStat):技能研讨会的成果。

Bryan E Shepherd, Nafiu Hussaini, Alex Huang, Chelsea Van Wyk, Meira S Kowalski, Donna J Ingles, C William Wester, Chun Li, Muktar H Aliyu
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引用次数: 0

摘要

范德比尔特-尼日利亚生物统计培训计划(VN-BioStat)旨在为尼日利亚从事艾滋病相关研究的生物统计学家建立一个研究和培训平台,包括通过年度研讨会提高中级生物统计能力。本文介绍了在尼日利亚卡诺举办的首届研讨会的结果。在研讨会前后对与会者进行了调查,以评估他们对使用统计软件和应用特定统计技术的能力的自我认知熟悉程度和信心,并收集有关研讨会举办和未来主题领域的反馈意见。在参加讲习班的 23 名学员中,有 22 人(96%)完成了讲习班前和讲习班后的评估。在工作坊前和工作坊后的调查中,学员们使用李克特量表对自己的统计技能信心进行了排名。分数被转换为 0-100 分,并计算出平均值。学员们还分享了对研修班的开放式反馈意见,并就未来的主题领域提出了建议。培训前,平均每位学员对 R 的熟悉程度为 "初学者"(30% 的学员)或 "中等"(43% 的学员),许多学员(65%)认为自己对 SPSS 的熟悉程度为 "中等 "或 "专家"。工作坊前的平均信心水平从 26 到 64 不等,其中对 "在回归模型中扩展连续协变量并解释结果 "的信心最低,而对 "拟合并解释线性回归模型的结果 "的信心最高。工作坊后的平均信心指数均在 70 分以上。工作坊后得分最低(74 分)的是 "拟合和解释半参数线性变换模型的结果"。在 "使用样条曲线在回归模型中扩展连续协变量并解释结果 "方面,学员的信心提高幅度最大;在 "拟合并解释线性回归模型的结果 "方面,学员的信心提高幅度最小。学员对教师的教学效果(4.9/5)和课程的整体质量(4.9/5)给予了积极的评价。在 0-100 分的评分标准中,学员对整个课程的评分为 "中等难度"(平均值±标准差:40.5 ± 17.5),但他们认为课程组织得很好(87.7 ± 17.8),信息也比较容易学习(81.9 ± 15.9)。对今后工作坊的建议包括提供补充资源供学员课外学习,以及提前发布代码以加强学员的准备工作。在对未来研修班主题的建议中,80% 的受访者列出了生存分析。这些经验教训为如何利用短期培训机会在类似环境中培养生物统计能力提供了启示。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The Vanderbilt Nigeria Biostatistics Training Program (VN-BioStat): Results from a Skills Workshop.

The Vanderbilt-Nigeria Biostatistics Training Program (VN-BioStat) aims to establish a research and training platform for biostatisticians doing HIV-related research in Nigeria, including enhancing mid-level biostatistics capacity through annual workshops. This paper describes findings from the inaugural workshop in Kano, Nigeria. Participants were surveyed before and after the workshop to assess their self-perceived familiarity with and confidence in their abilities to use statistical software and apply specific statistical techniques, as well as to gather feedback regarding the conduct of the workshop and future topic areas. Of the 23 participants enrolled in the workshop, 22 (96%) completed both pre- and post-workshop assessments. In both pre-workshop and post-workshop surveys, participants ranked their confidence in statistical skills using Likert scales. Scores were transformed to a 0-100 scale, and averages computed. Participants also shared open-ended feedback about the workshop and suggested future topic areas. Before the training, the average participant reported having either a "beginner" (30% of participants) or "moderate" (43%) level of familiarity with R. Many participants (65%) rated themselves as having "moderate" or "expert" familiarity with SPSS. Pre-workshop averages for confidence ranged from 26 to 64, with lowest confidence in "expanding continuous covariates in regression models and interpret results" and highest confidence in "fitting and interpreting results from a linear regression model". Post-workshop averages for confidence were all above 70. The lowest post-workshop score (74) was for "fit and interpret results from a semiparametric linear transformation model". The greatest increase in confidence was observed in "expanding continuous covariates in regression models using splines and interpreting results" and the lowest increase was in "fitting and interpreting results from a linear regression model." Participants offered positive feedback on instructor effectiveness (4.9/5) and overall course quality (4.9/5). While the overall course was rated on a 0-100 scale as "moderately difficult" (mean ± SD: 40.5 ± 17.5), the participants felt the course was highly organized (87.7 ± 17.8), and the information was moderately easy to learn (81.9 ± 15.9). Suggestions for future workshops included providing supplementary resources for out-of-classroom learning and releasing codes in advance to enhance participants' preparation. Among suggestions for future workshop topics, 80% of respondents listed survival analysis. Lessons learned provide insight into how short-term training opportunities can be leveraged to build biostatistics capacity in similar settings.

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