Turn your medical research draft into a clearer, more coherent, submission-ready manuscript. In this practical seminar series, physician, clinical epidemiologist, and CMAJ Associate Editor Behrooz Astaneh draws on his experience delivering more than 750 workshops to guide you through every stage of scientific writing—from structuring an IMRAD manuscript and reporting methods and results transparently to refining your discussion, abstract, title, and final pre-submission review. Learn through realistic examples and hands-on editing exercises, and explore how to use AI responsibly while protecting accuracy and confidentiality. Seminars are offered via Zoom, with recordings, materials, and access to an expert-moderated Q&A forum available for 30 days. Participants receive an official Instats certificate of completion. Strengthen your manuscript with practical, editor-informed guidance. #ClinicalResearch #MedicalJournalology #medicalpublishing #MedicalWriting #PublicationEthics #Researchmethodology #scientificpublication #scientificwriting #Linguistics #Communication #Biostatistics #PublicHealth #Epidemiology #ClinicalorLaboratoryScience #Medicine #Research #ResearchTraining #Instats

Ready to take your research manuscript from journal selection to publication with greater confidence? Join this practical, editor-informed online seminar with Behrooz Astaneh, physician, clinical epidemiologist, and Associate Editor at the Canadian Medical Association Journal. Designed for PhD students and professional researchers, the workshop covers choosing a suitable and legitimate journal, preparing a complete submission, interpreting editorial decisions and reviewer feedback, and responding strategically through revision, appeal, or resubmission. Learn through realistic examples and practical exercises, and take away reusable checklists and templates to support your publishing journey. The seminar is delivered via Zoom, with recordings and materials available for 30 days, an expert-monitored Q&A forum, and an official Instats certificate of completion. #ClinicalResearch #MedicalJournalology #MedicalWriting #PublicationEthics #publicationscience #Researchmethodology #Scholarlycommunication #Communication #ClinicalorLaboratoryScience #Medicine #PublicHealth #Epidemiology #Research #ResearchTraining #Instats

In statistical hypothesis testing, the probability and significance value ($\alpha$) work together to help decide whether experimental findings reflect a real effect or just random chance. Basically, in hypothesis testing, the goal is to see if the probability value (p-value) is less than or equal to the significance level (i.e., is $p \le \alpha$). Key Differences between Probability and Significance Value Practical Example of Probability and Significance Value Pre-Experiment: Setting the Significance Value Post-Experiment: Calculating the p-value Making the Decision Exam pass rate Example At a fundamental level, the difference between the probability value and the significance value is: