#StudyDesigns
From #OUP 's #DATABASE journal | Goals and strategies for the indexing of publication types and study designs | #OpenScience #ML #NLM #MedLine #StudyDesigns #Review | 🖥️🧪🔓
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Goals and strategies for the indexing of publication types and study designs
Abstract. Major research and implementation efforts have been devoted to indexing articles according to the major topics discussed, but much less effort to
academic.oup.com
July 15, 2026 at 3:34 PM
Why can't cross-sectional studies establish causality? Because they capture exposure and outcome simultaneously. Explore the strengths and limitations of each design in this tutorial.

Watch here: youtu.be/qN8WCAMTQjI

#Clinica"/hashtag/ClinicalResearch" class="hover:underline text-blue-600 dark:text-sky-400 no-card-link">#ClinicalResearch #StudyDesigns #MedicalEducation #EvidenceBasedMedicine #Clinica
September 24, 2025 at 5:00 PM
From case reports to platform trials, each study design serves a purpose. This tutorial walks through them all, with definitions and real-world examples.

Watch here: youtu.be/qN8WCAMTQjI

#ClinicalResearch #StudyDesigns #MedicalEducation #EvidenceBasedMedicine
Clinical and Research Trial Designs: From Observational to Interventional Studies
Clinical and Research Trial Designs are the backbone of evidence-based medicine and scientific discovery. In this tutorial, you’ll learn how studies are structured, why they differ, and how each design answers unique research questions. We begin with observational (non-interventional) studies such as case reports, case series, cross-sectional surveys, case–control studies, cohort studies, and ecological designs. Then, we move into interventional (experimental) studies, where researchers actively assign treatments. You’ll explore randomized controlled trials, cluster trials, crossover trials, quasi-experimental designs, adaptive trials, platform trials, and more. Along the way, we’ll define all the key terms — like cohort, exposure, randomization, non-inferiority, superiority, and equivalence — so you can follow with confidence. 🎯 By the end of this tutorial, you will be able to: Recognize the differences between observational and interventional designs Understand when to use each study type Interpret the objectives of superiority, non-inferiority, and equivalence trials Apply this knowledge when reading,...
youtu.be
September 24, 2025 at 3:00 PM
Why can’t cross-sectional studies prove causality? Because they capture exposure and outcome at the same time. Dive deeper into the strengths and limits of each design in this tutorial.

Watch here: youtu.be/qN8WCAMTQjI

#ClinicalResearch #StudyDesigns #MedicalEducation #EvidenceBasedMedicine
September 24, 2025 at 12:21 PM