European Foundation for the Study of Chronic Liver Failure (EF CLIF)’s Post

This AD position also reports to me and is similar to the Manager one, only that this one has more responsibilities and opportunities, and hence requires more experience. If you look forward to further career development leveraging your current work experiences in statistics, do please consider this one! https://lnkd.in/egDVsqu7 #biostats #biostatistics #biostatistician #statistics #statistician

🌟 Who's eligible for a Clinical SAS course? Let's break it down! 📚 🧬 Life Sciences: Dive into biology, biotechnology, genetics, and more! 💊 Pharmacy: Perfect for those with a passion for drug development and pharmacology. 👩⚕️ Medicine: Doctors, healthcare pros, and researchers, this is for you! 📊 Statistics/Biostatistics: Love numbers? Analyze clinical data like a pro! 💻 Computer Science/IT: Tech-savvy individuals with a knack for programming. 🏥 Public Health/Epidemiology: Help improve population health with data insights. 👩⚕️ Nursing: Nurses, step into the world of clinical research and analytics! 🛠️ Engineering: Biomedical, chemical, or electrical, your skills are valuable in healthcare analytics! Ready to embark on a journey in Clinical SAS? Check the eligibility criteria and start your adventure! Visit: www.emrti.com For more information: +91 8050276200 #ClinicalSAS #HealthcareAnalytics #EducationGoals #LifeSciences #PharmacyEducation #MedEd #Statistics #Biostatistics #TechInHealthcare #PublicHealth #NursingEducation #EngineeringInHealthcare #DataAnalytics #CareerDevelopment #HealthTech #emrti #institute #emrtiinstitute #empowerresearch #ClinicalTrials #MedicalResearch #Healthcare

Good morning Network! Please take a look over this week's core vacancies in Pharma - are there any of interest that you would like to discuss? Or, if you are simply open to finding out about the current market, then please get in touch for a friendly/confidential discussion: +44 7806 790645 / aimee@warmanobrien.com #biostatistics #statistics #biostatistician #biostatisticsjobs #statisticsjobs #biostatisticianjobs #biometricsrecruitment #biometricsjobs #clinicaltrials

Good morning Network! Please take a look over this week's core vacancies in Pharma - are there any of interest that you would like to discuss? Or, if you are simply open to finding out about the current market, then please get in touch for a friendly/confidential discussion: +44 7806 790645 / aimee@warmanobrien.com #biostatistics #statistics #biostatistician #biostatisticsjobs #statisticsjobs #biostatisticianjobs #biometricsrecruitment #biometricsjobs #clinicaltrials

🔍 Demystifying Biostatistical Subgroup Analysis: A Comprehensive Guide for Clinical Researchers As a biostatistician, I often get asked about robust methods for subgroup analysis in clinical research. Here's a deep dive into key approaches that ensure valid and reliable results: 1️⃣ Formal Interaction Testing • Why it matters: Helps determine if treatment effects genuinely differ between subgroups • Key techniques: - Statistical interaction terms in regression models - Likelihood ratio tests for model comparison - Careful consideration of multiplicative vs. additive interactions • Best practice: Always adjust for multiple testing using methods like: - Bonferroni correction - False Discovery Rate (FDR) - Hochberg procedure 2️⃣ Visual Analysis Through Forest Plots • Essential components: - Point estimates by subgroup - Confidence intervals - Sample sizes - Interaction p-values • Benefits: - Clear visualization of effect consistency - Easy identification of potential effect modifiers - Effective communication tool for stakeholders 3️⃣ Pre-specification Is Key • Critical elements: - Define subgroups before data collection - Document biological rationale - Specify primary vs. exploratory analyses • Red flags to avoid: - Post-hoc subgroup mining - Selective reporting - Over-interpretation of chance findings 4️⃣ Power and Sample Size Considerations • Essential calculations: - Minimum detectable effect sizes - Required sample sizes per subgroup - Power for interaction tests • Common pitfalls: - Underpowered subgroups - Failure to account for multiple testing - Overconfidence in small subgroup effects 💡 Pro Tips: 1. Always start with a clear analysis plan 2. Use appropriate statistical software 3. Document all decisions and methods 4. Consider clinical significance alongside statistical significance 5. Be transparent about limitations 🤔 Questions to Ask: • Is the subgroup analysis pre-planned? • Are the subgroups large enough? • Is there biological plausibility? • How many tests are being performed? • What's the clinical relevance? 📚 Remember: Good subgroup analysis balances statistical rigor with clinical insight. It's not just about finding significant p-values – it's about generating reliable evidence for better patient care. #Biostatistics #ClinicalResearch #DataScience #Statistics #Research #Healthcare #ClinicalTrials #DataAnalysis

Good opportunity

LinkedIn Community! More opportunities!! Biometrics and Biostats connections - check out my partner Noah's post for all we have going on in the area. Reach out to us if you're interested in any roles listed! #biometrics #biostatistician #clinicaltrials #clinicalresearch

Advice to Biostatisticians and Programmers working in clinical trials and looking to advance their careers: Shift your mindset - Don't just write a statistical analysis plan because you were told to write a statistical analysis plan. Write a statistical analysis plan because you want to provide clarity on the analytical methods applied to a clinical trial so the trial can be reviewed accurately and fairly by the regulatory body reviewing the application. Don't just program an ADSL dataset because you were told to program an ADSL dataset. Program the ADSL dataset because you want to enable the complete and accurate analysis of a clinical trial in the hopes the data analyzed and presented will enable the approval of a new and needed medical product. Once you shift your mind from "I am doing this work to get this work done" to "I am doing this because I want to do the best job I possibly can" your quality of work will skyrocket. You begin to ask more meaningful questions and follow through with items in a more timely and detailed manner. Shift your mind, care more deeply about the work you do, and increase your overall quality of work. The rest will take care of itself. Happy Tuesday.

Buy or Build is a business strategy choice. #biotech #startups should consider buying #biostatistics instead of building it inhouse. Some questions you might ask are 1) Is your team qualified to evaluate a biostatisticians resume? 2) Is your team qualified to manage and help develop a biostatistician? 3) Is your team able to evaluate the results of your biostatistician? 4) Are you willing to put the future of your product in the hands of a data analyst who might not have the expertise to do the right analyses (I still see t-tests being used for binomial data!). BioRankings brings 35 years of applied biostatistics, has worked across most areas of medicine, has in-depth knowledge and experience with most statistical methods, has co-authored hundreds of papers, and is cost competitive. Compare your applicants resumes to ours below.

Unlock the power of SAS in clinical research! 🌟 In the world of clinical trials, SAS (Statistical Analysis System) plays a critical role in analyzing vast amounts of data, ensuring accuracy, and meeting regulatory standards. Clinical SAS is specifically designed to handle complex clinical data, transforming raw data into meaningful insights that drive decision-making and support the approval of new treatments. Whether you're a data scientist, statistician, or clinical researcher, mastering SAS can elevate your career and enhance your contributions to the healthcare industry. Learn how Clinical SAS can streamline processes, ensure compliance, and deliver robust statistical analyses. Explore the importance and applications of Clinical SAS today! #ClinicalResearch #SAS #Biostatistics #ClinicalTrials #DataScience #Pharmaceuticals #HealthcareAnalytics #DataAnalysis #ClinicalSAS #LifeSciences #LinkedInLearning #CareerGrowth #HealthcareInnovation #RegulatoryCompliance #MedicalResearch #ClinicalDataManagement