Biometrics - Statistics for Life Science

Course: Comparative Means with GraphPad Prism – Advanced Course for Experienced Users In this two-day advanced course, you will expand your knowledge of GraphPad Prism and learn the advanced methods for comparing means. The course focuses on the statistical methods implemented in GraphPad Prism such as t-tests, ANOVA, Kruskal-Wallis, normal distribution, and post-tests. You will learn how to apply these methods, interpret them, and use them on your own data. The course provides detailed knowledge on paired and unpaired test methods as well as homogeneity of variance. This course builds on the content from the GraphPad Prism introductory course. It is essential that you are familiar with the software basics, which you can gain by attending the "GraphPad Prism – Introduction" course. Basic statistical knowledge in mean comparison will also be provided. Course contents: 📊 Statistical foundations of mean comparisons 📊 Confident handling of the Prism interface – mean comparison projects (data input and import) 📊 Performing “Column” projects 📊 One Sample T-Test 📊 T-Test and One-Way ANOVA for independent and paired samples 📊 Non-parametric tests for independent and paired samples 📊 Post-tests after mean comparisons 📊 Performing “Grouped” projects 📊 Two-Way ANOVA for independent and paired samples 📊 Post-tests for Two-Way ANOVA 📊 Confident use of graph types and graph design for mean comparisons 📊 Interpretation of statistical metrics and summarizing results in layouts Prerequisites: 📌 This course builds on the "Introduction to Data Analysis with GraphPad Prism" course. 📌 Basic knowledge of operating GraphPad Prism and fundamental statistical knowledge are required. 🕒 Course duration: 2 days 🔹 Sign up now and deepen your skills in mean analysis with GraphPad Prism!

Course: Introduction to GraphPad Prism – Fundamentals of Data Analysis for Beginners In this two-day training, you will gain a solid foundation for working with GraphPad Prism, one of the leading tools for data analysis and visualization in biomedical research. You will learn the complete process of data analysis, from data acquisition to result interpretation. This course is ideal for beginners with no experience in PRISM, as well as for advanced users who want to refresh their knowledge. After the course, you will be able to use the PRISM environment confidently and conduct data analyses independently. You will be able to identify and interpret key metrics of the analysis. Course content: Day 1: Basics of GraphPad Prism 📊 PRISM Interface and Project Types 📊 Data Handling in PRISM: Formats, data entry, and import 📊 Descriptive Statistics: Tables and basic analysis 📊 Creating and Designing Graphs: Different types of charts such as bar charts, scatter plots, box plots, and Kaplan-Meier plots 📊 Graphs for Paired Samples (Before-After, Repeated Measures Graphs) 📊 Visualizing Variability in Graphs: Error bars, standard deviation (SD), confidence intervals (CI) 📊 Exporting Results: Exporting graphs and layouts to PowerPoint and Word Day 2: Statistical Analysis with GraphPad Prism 📊 Mean Comparisons: Performing t-tests, one-way ANOVA, and non-parametric tests 📊 Post-Tests: Selection and execution 📊 XY Projects: Creating dose-response curves, performing regressions, and interpreting the results 📊 Using Post-Tests and Statistical Tools in GraphPad Prism Requirements: No prior knowledge required – the course is ideal for beginners and anyone who needs a refresher. 🕒 Course Duration: 2 days 🔹 Sign up now and improve your analysis skills with GraphPad Prism!

Course: Regression Analysis with GraphPad Prism – Advanced Course for Experienced Users In this 2-day advanced course, you will expand your knowledge of regression analysis with GraphPad Prism. The course focuses on linear and nonlinear regression techniques used in the analysis of biological and medical data. You will learn how to analyze and interpret dose-response curves, enzyme kinetics, and model comparisons using GraphPad Prism. The course provides in-depth knowledge of residual analysis, least squares method, model fitting, and global fitting. Course Content: 📊 Statistical Foundations of Regression – Introduction to linear and nonlinear models 📊 Mastering the Prism Interface – Conducting regression projects (data entry and import) 📊 Linear Regression – Performing and interpreting simple linear regression models 📊 Nonlinear Regression – Applying and fitting nonlinear models in Prism 📊 Data Visualization – Visualizing regression data in GraphPad Prism 📊 Graphs and Charts – Creating and interpreting regression graphs 📊 Statistical Metrics – Interpreting regression statistics and results for your analysis Prerequisites: 📌 Basic knowledge of GraphPad Prism 📌 Statistical knowledge in regression is helpful but not required 🕒 Course Duration: 2 days 🔹 Sign up now and enhance your skills in regression analysis with GraphPad Prism!

Grapher – Powerful Software for 2D & 3D Data Visualization, Chart Creation, and Analysis Visualize Your Data Present your data with unmatched clarity and precision! Grapher offers top-tier graphing and visualization tools to help you get the most out of your data. With over 70 types of 2D and 3D charts, you’ll always find the perfect way to showcase your insights professionally. “Grapher is a full-featured scientific graphing program that allows users to import data in various formats, combine multiple 2D and 3D plots, and customize them down to the smallest detail.” – David Suder, Principal Scientist, Precise Environmental Consultants 📊 Grapher – The Software for Advanced 2D & 3D Visualization, Charting, and Analysis Analyze Your Data Don’t miss hidden insights! Your data might contain valuable patterns and trends. Grapher’s advanced analysis tools, statistical functions, and charting capabilities help you identify trends, uncover relationships, and discover opportunities you might otherwise overlook. “Grapher has become part of my daily routine—professionally, for research, and personally. I recommend it to anyone who will listen!” – Stephen Ross, Japan 📈 Get a complete view of your data with Grapher! Communicate Results Effectively Even complex datasets can be communicated clearly with Grapher. A broad range of customizable chart types helps you present ideas in a format your audience will instantly understand. Let your data speak for itself! “It’s truly the most flexible package on the market. I always say: If you can imagine a graph, you can create it with Grapher.” – Eric Tappa, Earth & Ocean Sciences, University of South Carolina 📌 Create ternary diagrams, polar plots, and many more with Grapher! A Trusted Solution Grapher is trusted by thousands of scientists, engineers, and professionals worldwide. See for yourself why so many experts rely on this powerful data visualization software. “I’ve been using this software since 1987. Nothing else comes close!” – Daniel J. Lombardi, P.G., Principal Hydrogeologist ✅ Experience Grapher – the professional solution for data visualization and analysis. 🔗 Learn more and get your free trial here: ➡ [Grapher Official Website]

GraphPad Prism – The Leading Software for Data Analysis & Scientific Visualization GraphPad Prism is the preferred statistics and graphing software designed specifically for scientific research. Researchers around the world use Prism to perform accurate data analysis, make informed statistical decisions, and present results in professional, publication-ready charts. 🚀 Save time and improve the accuracy of your analyses with GraphPad Prism! Biostatistics & Data Analysis for Life Sciences Originally developed for biology, medicine, and pharmacology, GraphPad Prism is now widely used across the life sciences—from students and PhD researchers to scientists in the pharmaceutical and healthcare industries. ✅ Easy-to-use statistical analysis tools for scientists ✅ Automated graphing for accurate data visualization ✅ Clear, easy-to-understand results interpretation 📌 No other software offers such intuitive and powerful curve fitting! Powerful Statistical Tools in GraphPad Prism GraphPad Prism includes a wide range of statistical tests and regression models to help you analyze your research data precisely and confidently. Included Statistical Methods: 📊 t-tests (unpaired & paired) 📊 ANOVA (one-way, two-way, three-way) 📊 Nonparametric tests 📊 Linear & nonlinear regression 📊 Survival analysis (Kaplan-Meier) 📊 Contingency table analysis 💡 Especially for nonlinear regression, Prism offers advanced tools to calculate EC50, fit complex models, and compare curves with ease. Scientific Graphing with Flexible Chart Customization With GraphPad Prism, you can create high-quality scientific graphs that update automatically when your data changes. 🎨 Graphing Highlights: ✅ Automatically generated graphs based on your analyses ✅ Fully customizable axes, colors, labels, and layouts ✅ One-click templates for professional, consistent output 📈 Create perfect scientific visuals in just a few clicks! Why Choose GraphPad Prism? 🔹 Fast & easy data analysis for scientists 🔹 Automated statistics and charting for accurate research 🔹 Comprehensive tools for biostatistics & nonlinear regression 🔹 Intuitive interface – perfect for students and professionals alike 🚀 Get started with GraphPad Prism and take your scientific research to the next level! 📥 Download your free trial now: ➡ Learn more & get the free trial

✅ Why Choose nQuery? 📏 Optimal Sample Size – Avoid underpowered or oversized studies 💰 Cost Reduction – Save significantly on clinical trials through precise planning 📈 Greater Efficiency – Enhance the statistical power and relevance of your results 🧠 370+ Procedures – Covers a wide range of study designs and statistical tests ⚕️ Trusted in Clinical Practice – Used globally by pharma, biotech & medical research institutions 🧬 Typical Use Cases ✔️ Clinical trials (Phases I–IV) ✔️ Medical research & epidemiology ✔️ Biostatistics & public health ✔️ Pharmaceutical development ✔️ Biotechnology & regulatory trial design 🛠️ Key Features at a Glance 🔹 Calculate sample size for a wide variety of statistical tests and study designs 🔹 Perform power analysis for fixed sample sizes 🔹 Plan studies including parallel groups, crossover designs, survival analysis, non-inferiority trials, and more 🔹 Supports both classical and modern methodologies 🔹 User-friendly interface with comprehensive documentation and guidance 📌 Conclusion: nQuery – Plan with Confidence. Research with Efficiency. nQuery ensures your clinical study is neither underpowered nor over-resourced. That means more reliable results, better decision-making, and optimized resource use. Get your study design right from the start—with nQuery. 📥 Discover nQuery & request your free demo today! ➡ Contact us for pricing, consultation, or a personalized trial.

📈 SigmaPlot® – Advanced Technical Graphing & Data Analysis SigmaPlot is the leading software for creating high-quality 2D and 3D scientific graphs and performing precise data analysis. Designed for researchers, engineers, and scientists, SigmaPlot generates publication-ready visuals while offering a robust set of statistical tools—making it ideal for high-level research, documentation, and scientific presentations. ✅ Why Choose SigmaPlot? 🧪 Accurate scientific visualizations in 2D & 3D 📊 50+ built-in statistical tests, including Kaplan-Meier, Bland-Altman, curve fitting & more 🖼️ Publication-quality graphics – ideal for journals, reports, and conferences 🔁 Macro automation for repetitive tasks and workflows 📎 Seamless integration with Microsoft Excel, Word, and PowerPoint 🎨 New Ribbon UI & redesigned Graph Properties dialog for faster productivity ✨ What’s New in the Latest Version of SigmaPlot? 🔹 Scatter matrix plots with up to 40 variables 🔹 Filled arrowheads for precise annotation 🔹 Multi-column sorting based on index columns 🔹 Oneway frequency tables & new chart types 🔹 Streamlined workflows with fewer clicks and faster graphing 📊 Powerful Graphing Features ✔️ Customizable axis scales for technical presentations ✔️ Multi-axis layout support ✔️ Regression analysis & nonlinear curve fitting ✔️ Automatic error bars & confidence intervals ✔️ Enzyme kinetics & specialized scientific chart types 🧠 Built-In Statistics Advisor SigmaPlot includes a Statistics Advisor that guides you to the right statistical test and walks you through its application step by step. 📌 Examples include: • t-tests, ANOVA, nonparametric tests • Kaplan-Meier survival analysis • Bland-Altman method comparison • Regression models & curve fits • Enzyme kinetics and more 🔄 Optimized for the Microsoft Office Workflow 🔗 One-click data import from Excel 📄 Insert SigmaPlot charts directly into Word & PowerPoint 📤 Export high-resolution graphics for publication or presentation 🎯 Conclusion: SigmaPlot – When Your Research Demands Clarity Whether in medicine, life sciences, chemistry, physics, or engineering, SigmaPlot delivers everything you need for professional-level data visualization and analysis. Intuitive to use, powerful in output. 📥 Learn more or request a free trial: ➡ Visit the official SigmaPlot product page: www.systat.com/products/sigmaplot

Course: Introduction to JMP – Graphical Data Analysis and Exploratory Data Analysis (EDA) In this one-day course, you will be introduced to JMP, the powerful software for graphical data analysis. You will learn how to conduct exploratory data analysis (EDA) and identify patterns in your data. The course will teach you not only how to navigate the JMP interface, with its menus, dialogs, and reports, but also techniques for data management such as importing, exporting, and transposing data. You will also learn how to create and interpret descriptive statistics and present your results visually. Course Content: 📊 Data Import – Importing data from various sources into JMP 📊 Software Navigation – Efficient use of the interface, menus, and reports 📊 Data Management – Working with column and row menus, transposing and organizing data 📊 Descriptive Statistics – Creating and interpreting basic statistical metrics 📊 Graphical Data Analysis – Performing EDA techniques for pattern recognition in data 📊 Result Presentation – Exporting analysis results and creating reports Prerequisites: 📌 No prior knowledge required 🕒 Course Duration: 1 Day 🔹 Register now and begin your journey into the world of data analysis with JMP!