Learn the foundational steps to plan, execute, and analyze systematic reviews and meta-analyses for clinical research and evidence-based practice.
💬AIインストラクター どのレッスンでも質問すれば、いつでもすぐに分かりやすい答えが返ってきます。
🕐いつでも開始 スケジュールも締め切りもなし。自分のペースで、好きなときに学べます。
🌐日本語で レッスン、課題、修了証まで、すべてあなたの言語で。
このコースについて
How do researchers make sense of conflicting clinical studies to find the truth? Conducting a systematic review and meta-analysis allows you to gather, evaluate, and synthesize existing literature to establish high-quality, actionable evidence.
This course guides you through the entire scientific workflow of evidence synthesis, from initial concept to final quantitative analysis. You will learn how to establish robust protocols that minimize bias and deliver reliable, reproducible findings.
What you'll learn:
- Understand the core terminology, principles, and foundational steps of systematic reviews
- Formulate clear, answerable research questions using structured frameworks like PICO
- Design rigorous search strategies and establish objective inclusion and exclusion criteria
- Assess the risk of bias in clinical trials using standardized evaluation frameworks
- Perform basic statistical meta-analyses to synthesize quantitative data across multiple studies
- Apply modern reporting standards, including the latest PRISMA guidelines and protocol registration practices
You will start with essential definitions and theoretical foundations before moving sequentially through literature searching, data extraction, quality assessment, and basic statistical synthesis. This course is designed for beginners, healthcare professionals, and academic researchers looking to start their first review with no prior experience required.
Start reading today to build a strong foundation in evidence-based research methodologies.