GraphPad Prism - Regression

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

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: Statistics for Biological and Medical Data – Fundamentals & Practical Application This three-day course covers the basics of statistical analysis for biological and medical data. Instead of complex mathematical formulas, the focus is on practical application. Through hands-on examples, you will learn to understand and confidently apply statistical methods. The course offers a comprehensive overview of statistical analysis methods, their applications, and potential risks – ideal for beginners and professionals looking to refresh their knowledge. What you will learn in this course: 📊 Statistics Fundamentals: Descriptive statistics & key metrics 📊 Interpreting Statistical Graphs: Bar charts, error bars & dose-response curves 📊 Hypothesis Testing & Significance Tests: t-Test, ANOVA (including Repeated Measures) 📊 Nonparametric Methods: Mann-Whitney U test, Kruskal-Wallis test, Wilcoxon test, Friedman test 📊 Regression Analysis: Linear & nonlinear models including dose-response curves 📊 Data Validation: Data transformation, residual analysis (homogeneity of variance, normal distribution, lack-of-fit) 📊 Statistical Experimental Design (Design of Experiments, DoE) 📊 Survival Analysis & Models: Kaplan-Meier curves, Cox model & parametric survival models Prerequisites: ✅ No prior knowledge required – ideal for beginners & practitioners. 🕒 Course Duration: 3 days 🔹 Sign up now and apply statistics with confidence!

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