International Neuromodulation Society’s Post

🎙️ Live Reading Series – Biostatistics Article 6: Professor Konstantin Slavin reads aloud an article by Garston Liang, Quentin F. Gronau, and Alexander Thorpe which discusses the p-value, a fundamental concept in statistical analysis, and clarify what it can and cannot tell you about your data. Tune in to gain a deeper insight into the role of p-values in hypothesis testing and avoid common misconceptions. ✔️ YouTube Video: https://lnkd.in/eckes7f2 ✔️ Biostatistics articles on the INS website: https://lnkd.in/gtRmHVHT #neuromodulation #biostatistics #statistics

🎙️Live Reading Series – Biostatistics Article 1: Professor Konstantin Slavin reads aloud an article by Quentin F. Gronau, Garston Liang, and Alexander Thorpe that explores Bayes factors as an alternative to p-values for hypothesis testing. They explain how Bayes factors (BF10) measure evidence for an effect versus no effect, with BF10 greater than 1 indicating evidence for an effect, and BF10 less than 1 indicating evidence against it. The discussion highlights the advantages of Bayes factors, such as quantifying evidence for both the null and alternative hypotheses and allowing for continuous evidence monitoring. Using simple analogies, the article provides clear guidance on interpreting Bayes factors and address common misconceptions. ✔️ YouTube video: https://lnkd.in/g7kBaK77 ✔️Biostatistics articles on the INS website: https://lnkd.in/gtRmHVHT

🎙️ Live Reading Series – Biostatistics Article 3: Prof. Konstantin Slavin reads aloud an article by Garston Liang, Quentin F. Gronau, and Alexander Thorpe which addresses the use of N-of-1 trials in neuromodulation and personalized medicine. N-of-1 trials are a powerful method for investigating treatment effects on an individual basis, making them ideal for patients with stable symptoms and chronic disorders. The article also highlights the statistical considerations for analyzing N-of-1 trials, emphasizing the importance of proper design and analysis to ensure valid conclusions. ✔️ YouTube video: https://lnkd.in/gG3U5b5w ✔️ Biostatistics articles on the INS website: https://lnkd.in/gtRmHVHT #biostatistics #statistics #neuromodualtion #INS #podcast

"Sharpening my statistical skills! 📊 wrapped up a full-day certificate seminar on Potential of Excel in biostatistics 💪 by Dr Madhur Kulkarni" #partofkmkcp #ContinuousLearning #Biostatistics

➡️ It's now. First day at the 45th Annual Conference of the International Society for Clinical Biostatistics #ISCB45 in Thessaloniki (Greece). 🏖 Statistics is nice also with 35°. 😁 Happy to join with my dear friend Elisa Rizzo. #statistics #conference #summer

We have completed our biostatistics TOT program, which included 12 sessions. The final session on survival analysis was led by the outstanding Mennatullah Essam. This marks the end of a long and wonderful educational journey. The next phase promises to be even more exciting for future biostatisticians. 👀 سعيد جدا بكل اللي وصلناله مع بعض طلعنا باستفادة كبيرة وانا اولهم وان شاء الله الجاي اكتر 💓 #research #R #biostatistics #TOT

Interesting paper for young and less young researchers!

#Biostatistics is the application of statistical methods to research in health-related fields, such as biology, medicine, and public health. Biostatisticians use statistical methods to: #Design studies to collect the right data #Analyze, evaluate, and interpret results #Account for variables, biases, and missing data #Biostatisticians work with experts in other fields, such as biologists, cancer specialists, surgeons, and geneticists. Biostatistics is important because it helps to: #Understand the cause, natural history, and treatment of disease #Improve the #health of people and communities #Solve important design and analysis questions that are critical to the success of scientific research The field of biostatistics is growing rapidly, and biostatisticians are in high demand. This is due to new advances in many areas, including bioinformatics, computational biology, genetics, neuroimaging, and environmental science. #atheenapandian WWW.ATHEENAPANDIAN.COM My sincere thanks to biostatistics.ca MB3 Biostatistics MRC Biostatistics Unit Biostatistics & Statistical Programming Biostatistics for MSLs & Medical Writers Biostatistics Research Penn Medicine Department of Biostatistics, Epidemiology and Informatics Epidemiology, Biostatistics & Occupational Health

I recently completed the NPTEL course on Introduction to Biostatistics, an 8-week comprehensive course. It covers a wide range of topics related to statistical analysis in biology, including probability, hypothesis testing, regression analysis, and experimental design. The assignments throughout the course allowed me to assess my understanding and reinforce my learning. Excited to apply these insights in future projects..!! #biostatistics #nptel #healthcare #datascience

Congratulations to Elsevier Senior Acquisitions Editor Linda Buschman and esteemed book editors Albert Vexler, Jihnhee Yu, and Jiaojiao Zhou from The State University of New York at Buffalo on the publication of "Modern Inference Based on Health-Related Markers: Biomarkers and Statistical Decision Making". This groundbreaking book is a comprehensive guide to biomarker-based methodologies and biostatistical techniques in health-related fields. From correct testing mechanisms to data-driven techniques, this reference equips practical researchers with the tools they need to navigate the complexities of modern inference. Key Features: 🔬 Combines modern epidemiological and public health discoveries with cutting-edge biostatistical tools 🔬 Includes relevant software codes for practical implementation 🔬 Addresses emerging topics in biomarkers and associated decision-making areas 🔬 Written by leading researchers in epidemiology and biostatistics, offering up-to-date investigations and insights Whether you're involved in measuring health issues, designing health studies, or conducting clinical trials, this book is an indispensable resource for navigating the evolving landscape of health-related research. #Biostatistics #Biomarkers #Books