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所在平台: Coursera |
课程主页: https://www.coursera.org/learn/systematic-review
课程评论：没有评论
课程名称：系统评估与荟萃分析入门 概述：本课程将介绍系统评审和临床试验荟萃分析的方法。我们将学习如何制定可回答的研究问题，定义纳入和排除标准，搜索证据，提取数据，评估临床试验的偏倚风险，并进行荟萃分析。成功完成本课程后，参与者将能够： - 描述进行系统评审的步骤 - 使用“参与者、干预、比较、结果”（PICO）框架制定可回答的问题 - 描述从临床试验报告中收集和提取数据的过程 - 描述批判性评估临床试验偏倚风险的方法 - 描述和解释荟萃分析的结果 课程大纲： 1. **简介**：对课程进行广泛概述，介绍系统评审和荟萃分析的高层次概念，并探讨谁生产和使用系统评审。 2. **框架问题**：讨论如何构建问题，涵盖范围、要素以及问题的精细化。 3. **搜索原则与偏倚评估**：寻找证据的方式，包括关键来源、搜索策略和评估偏倚风险。 4. **最小化荟萃偏倚、定性综合与结果解释**：学习如何最小化荟萃偏倚、选择偏倚、信息偏倚，透明报告和定性综合，以及结果的解释。 5. **荟萃分析规划与统计方法**：涉及荟萃分析的规划和相关统计方法。 6. **总结与最终同行评审作业**：总结过去几周所涵盖的关键概念，完成最终的同行评审作业，并评估同学的提交内容。
Name:Introduction
Description:To get the ball rolling, we'll take a broad overview of what to expect in this course and then introduce you to the high-level concepts of systematic review and meta-analysis and take a look at who produces and uses systematic reviews.
Name:Framing the Question
Description:In this module, we will discuss how to frame a question, as well as scope, elements, and refining the question.
Name:Searching Principles and Bias Assessment
Description:In this module we will look at finding the evidence, as well as key sources, search strategy, and assessing the risk of bias.
Name:Minimizing Metabias, Qualitative Synthesis, and Interpreting Results
Description:In this module, we will cover minimizing metabias, selection bias, information bias, how to report transparently, qualitative synthesis, and interpreting results.
Name:Planning the Meta-Analysis and Statistical Methods
Description:This module will cover the planning of your meat-analysis and the statistical methods for meta-analysis.
Name:Wrap Up and Final Peer Review Assignment
Description:In this final module, we'll wrap up with a look back at the key concepts covered over the past few weeks. Afterwards, you will submit your final Peer Review Assignment and evaluate some of your classmates' submissions.
We will introduce methods to perform systematic reviews and meta-analysis of clinical trials. We will cover how to formulate an answerable research question, define inclusion and exclusion criteria, search for the evidence, extract data, assess the risk of bias in clinical trials, and perform a meta-analysis. Upon successfully completing this course, participants will be able to: - Describe the steps in conducting a systematic review - Develop an answerable question using the “Participants Interventions Comparisons Outcomes” (PICO) framework - Describe the process used to collect and extract data from reports of clinical trials - Describe methods to critically assess the risk of bias of clinical trials - Describe and interpret the results of meta-analyses
