loading . . . Appraising and Improving Quantitative Research - On-Demand Are you confident that the research you read, review, or build upon is methodologically sound? Join this one-day online workshop from the Centre for Applied Statistics Courses (CASC) at University College London, designed for PhD students, postdocs, academics, and experienced practitioners in statistics and data science who want to strengthen their ability to critically appraise quantitative research. The seminar focuses on how to read published papers from first principles, interrogate study design and analysis choices, identify bias, confounding, p-hacking, overfitting, weak reporting, and unsupported causal claims, and assess whether the evidence truly supports the conclusions. Through short lectures, practical demonstrations, exemplar paper critiques, and small-group appraisal exercises, participants will develop actionable skills for improving their own study designs, analysis pipelines, reproducible workflows, manuscripts, peer reviews, thesis chapters, and grant proposals. Topics include internal and external validity, observational and experimental designs, sampling and randomisation, reporting guidelines such as CONSORT, STROBE, and PRISMA, model diagnostics, uncertainty, sensitivity analysis, meta-analysis, transparency, and reproducibility. Delivered live via Zoom with recordings, materials, templates, reading lists, and a monitored Q&A forum available for 30 days after the seminar, this intensive and interactive workshop also includes an official Instats certificate of completion.
#ComputationalStatistics #DataAnalytics #DataScience #Statistics #InformationScience #Education #Mathematics #Biostatistics #Research #ResearchTraining #Instats https://instats.org/seminar/appraising-and-improving-quantitative-re-1?utm_source=bluesky
