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Your scientific data from experiments and observations are easy to organize, analyze and visualized with the help of the software GraphPad Prism. Even without previous knowledge, statistical tests can simply be executed and their results can easily be interpreted.
Life Science in Biostatistics
GraphPad Prism was originally developed for experimental biologists, medicine scientists and pharmacologists. Meanwhile Graphpad Prism is used throughout the life sciences sector. Many undergraduate and graduate students also use this statistical program.
The program guides you through the process of analysis, facilitates the choice of the statistical tests and interpret the results. No other program allows the curve fitting so easy to learn and to simplify. Especially the non-linear regression serves as an important tool.
Wide Range of Applications
GraphPad Prism provides T-tests, one-way- and two-way ANOVA, non-parametric comparisons, linear and non-linear regression, analysis of contingency tables and survival analysis. In addition, GraphPad Prism offers a large selection of presentable graphs. The graphics engine is extremely flexible and admits various designs. Color palettes allow coloring of the graph by one click only.
Graph Pad Prism - Scientific Graphics within the Life Science Sector
More than 200,000 scientists in more than 110 countries rely on GraphPad Prism. It is also used in academia to teach and learn statistical methods. Characteristic for GraphPad PRISM are the comprehensive library of statistical analysis functions for location tests including nonparametric procedures, linear and nonlinear regression, contingency tables and some special routines for clinical research, like: t-Test, One-Way- and Two-Way-ANOVA, Kruskal-Wallis- and Curves. No software can compete in terms of simplicity of model specification and robustness of the results in terms of nonlinear regression. On top of this GraphPad Prism offers a wide variety of presentation quality graphics.
Regression Models in GraphPad Prism
No other software offers such an easy way to select and configure regression models! GraphPad Prism contains a library with over 110 regression models including meaningfully chosed starting values for the fitting process, like dose response curves, Michaelis-Menten- and enzyme cinetic models.
GraphPad Prism - Automated Functions
Routine analyzes, which are very time consuming, can be automated. There are 4 ways to automate analysis.
Wand and Magic
If you have already worked with Magic you will like wand even more! Wand transfers all analyzes and graphs from one data table to another one. By clicking the Wand button you can apply all analyzes and graphs that have been created for a data table, to a new data table.
With GraphPad Prism you can create templates. Templates are just like a general prism work file. They can contain all graphics, analyzes and layouts you need for your routine analyzes. If you have created a template, just open it and copy new data to it and you are pretty much done with your analysis.
- a template has the extension .pzt. Templates can only be changed over a specific dialog option. If you save a template you will get a prompt that lets you choose a new project name. So you cannot accidentally overwrite your templats.
- Templates can be saved with a short guidance that will also be shown if you open the template.
- a list of all your templates can be found in the welcome dialog via "Open a file".
If you have filled an empty data table with data, it's already to late to clone your project. But you can use a method on the project. You can load a method and apply it to the data table. Graphs and analyzes will be created, like you saved in the method, with just a simple click.
The Help System in GraphPad Prism
The help system in GraphPad Prism is an extensive software- and statistcal knowledge base. You will benefit from it in several other ways:
The welcome dialog is the central point of the software. Here you can select the various project types for different statistical analyzes. An overview of the applications of the individual projects can be found within the help system. With a click on "Learn more" you get an extensive and clear description of the capabilities of the selected project type.
Unlike other software, GraphPad Prism offers a statistical help system which you will understand. By clicking the "Learn" button you will get a context menu which shows you all the steps for your analyzes in a detailed way. The decision for the right analysis will get very easy.
The Analysis Checklist, is a list which is contained in every statistical analysis. With this list you can check the results of your analysis on validity. The list is structured in a way, that the first entry means the worst violation of basic analysis requirements.
Our GraphPad Prism Trainings
STATCON not only offers professional statistical software solutions, we also offer professional trainings and consulting for those solutions so that you get the maximum out of your software! We offer simple trainings that will introduce you to the software and it's basic features but also more comprehensive trainings with deepth inside into specific functions of the software. Trainings are held as In-house and Off-site trainings. If you would like to attend a comfortable online-training, take a look at our webinars.
GraphPad Prism - Introduction
This training teaches a solid foundation for everyone working with GraphPad Prism. You learn the complete course of a data analysis ranging from data import and descriptive statistical analysis to creation and optimmization of the output. Go to Article...
GraphPad Prism - Graph Creation
This one-day-course emphasizes the graphical features of Grapad PRISM. This course does not focus on any statistical details, only a few simple descriptive statistics (average, standard deviation, standard error) will be calculated using Graphpad Prism. This course is also used as an introduction of Graphpad Prism, thus other, more statistical, courses will built on it. Go to Article...
GraphPad Prism - Means Comparison
This two-day-course is an advanced training based on the Introduction to Data Analysis with GraphPad Prism. It covers multiple statistical tests for group comparisons including ANOVA, t-Tests and nonparametric methods. Keywords like: t-test, ANOVA, Kruskal-Wallis, gaussian distribution, homogeneity, post hoc tests, paired / unpaired will be explained. Go to Article...
GraphPad Prism - Regression
This two-day-course introduces linear and non-linear regression models. The class covers all methods of regression analysis (linear and nonlinear) which are implemented in GraphPad Prism. Keywords like: linearity, statistical modeling, least squares method, constraints, global fit, model comparisons, dose response curves and enzyme cinetic models will be explained. Go to Article...
GraphPad Prism Webinar - Update Webinar
Since August 2012 there is a new release of Graphpad Prism. Not only the user interface is revamped, also many statistical and graphical functions were added. This webinar is a comprehensive and effective tour around the new version of PRISM Graphpad. Go to Article...
GraphPad Prism Webinar (free) - Dose Response Regression
This websession presents a typical stepwise workflow beginning with data entry, briefly showing the different analysis procedures and finally presenting the results. Go to Article...
GraphPad Prism Webinar (free) - Comparison of Means
offers a wide spectrum of statistical and graphical analysis. This websession presents a typical stepwise workflow beginning with data entry, briefly showing the different analysis procedures and finally presenting the results. Go to Article...
System Requirements for the software GraphPad Prism
|Operating System||Windows 2000, XP, Vista, 7, 8 (32-/64-Bit)||Mac OS 10.4 (Tiger), OS X 10.5 (Leopard), 10.6 (Snow Leopard), 10.7 (Lion), 10.8 (Mountain Lion), 10.9 (Mavericks) *|
|Disk Space||60 MB||60 MB|
* Problems regarding MAC OS X 10.11 (El Capitan): Currently the new version of the MAC OS X can cause problems with the software. GraphPad works on a solution and has released a new version for MAC (Version 6.0h). Please contact the support team of GraphPad to get the new version: firstname.lastname@example.org. If you encounter problems please try the following:
- Create a new user account, log into that account, and then install GraphPad Prism 6.0h
- Install the beta test of El Capitan 10.11.1. With this release, GraphPad Prism 6.0h should start for all. The beta test of MAC OS can be found here: https://beta.apple.com/sp/betaprogram/
More Information regarding this issue on the FAQ of GraphPad:http://graphpad.com/support/faq/graphpad-prism-and-mac-os-x-1011-el-capitan/
What's new in Prism 7?
New Analyses – ANOVA, multiple comparisons and more
- Two-way ANOVA with repeated measures in both factors.
- Multiplicity adjusted (“exact”) P values for multiple comparison tests. Read more about this #1 request in our blog.
- New post tests - Fisher’s unprotected Least Significant Difference (LSD) and Holm-Sidak.
- Run a set of t tests (one per row) at once, correcting for multiple comparisons with Bonferroni or by contolling the False Discovery Rate (FDR).
- Follow two-way ANOVA with tests for simple or main effects. Don't worry if you don't know what that means - Prism 6 presents those choices graphically so the meaning is obvious.
- Greenhouse-Geisser correction in repeated measures one-way ANOVA to avoid the need to assume sphericity.
- Grubbs’ outlier detection. Our most popular QuickCalc web calculator is now part of Prism.
- Kolmogorov-Smirnov test to compare two groups (an alternative to the Mann-Whitney test).
- Ratio t test
Improved curve fitting
- Fit to implicit and differential models.
- Write more complex models.
- Quicker interpolations. Prism 6 adds a new analysis that streamlines the process of interpolating values from standard curves.
- Weight your fit by 1/Y^k
- Monte-Carlo simulations without writing scripts.
Pie charts and more
- Prism 6 adds a new kind of data table for parts of whole data. Plot pie charts, donut plots and more.
- Compare the observed distribution of values with theoretically expected values with the chi-squared or binomial test.
- Compute each value as a fraction or percentage of the column total.
Work with larger data sets
- Enter data in up to 256 data set columns.
- Enter up to 256 subcolumns per data set (up from 52 in Prism 5). This lets you compute repeated measures two-way ANOVA with more subjects.
Work mor efficiently
- Faster. Faster saving, faster closing, faster nonparametric calculations, faster graphing, faster, crisper screen redraws.
- Format several data sets at once. Want to plot alternating columns as dotted lines? Now you can do it in one step.
- View and edit all of your column titles at once. Great for large files!
- Choose the size, shape and color of your data points right from the data table. You can even select any contiguous block of data and make choices for that specific subset of your data table.
- WAND. If you love MAGIC, you will love the new WAND. While MAGIC reformats graphs, the WAND analyzes and graphs a new data table to match what you have done to another.
- Paste link values from results tables into a data table so everything updates automatically. This also works if you want to link data from one data table to another.
More ways to customize your graphs and layouts
- Export graphs in more formats.
- Better TIFF compression means smaller files and faster exporting.
- Import more types of graphic files into your Prism layouts.
- Control whether to use periods or commas as a decimal separator from within Prism.
- Choose how to handle excluded values when you export/paste from Prism data tables.
- If you use LabArchives, you can now open your Prism files right from LabArchives without first downloading the files to your computer. Prism 6 files are fully searchable within LabArA
Statistical Features of Prism 6
- Paired or unpaired t tests. Reports P values and confidence intervals.
- Nonparametric Mann-Whitney test, including confidence interval of difference of medians.
- Kolmogorov-Smirnov test.
- Wilcoxon test with confidence interval of median.
- Perform many t tests at once, using False Discover Rate to choose which comparisons are discoveries to study further.
- Ordinary or repeated measures one-way ANOVA followed by the Tukey, Newman-Keuls, Dunnett, Bonferroni or Holm-Sidak multiple comparison tests, the post-test for trend, or Fisher’s Least Significant tests.
- Many multiple comparisons test are accompanied by confidence intervals and multiplicity adjusted P values.
- Greenhouse-Geisser correction so repeated measures one-way ANOVA does not have to assume sphericity. When this is chosen, multiple comparison tests also do not assume sphericity.
- Kruskal-Wallis or Friedman nonparametric one-way ANOVA with Dunn's post test.
- Fisher's exact test or the chi-square test. Calculate the relative risk and odds ratio with confidence intervals.
- Two-way ANOVA, even with missing values with some post tests.
- Two-way ANOVA, with repeated measures in one or both factors. Tukey, Newman-Keuls, Dunnett, Bonferron, Holm-Sidak, or Fishers LSD multiple comparisons testing main and simple effects.
- Kaplan-Meier survival analysis. Compare curves with the log-rank test (including test for trend).
- Calculate min, max, quartiles, mean, SD, SEM, CI, CV,
- Mean or geometric mean with confidence intervals.
- Frequency distributions (bin to histogram), including cumulative histograms.
- Normality testing by three methods.
- One sample t test or Wilcoxon test to compare the column mean (or median) with a theoretical value.
- Skewness and Kurtosis.
- Identify outliers using Grubbs or ROUT method.
Linear regression and correlation
- Calculate slope and intercept with confidence intervals.
- Force the regression line through a specified point.
- Fit to replicate Y values or mean Y.
- Test for departure from linearity with a runs test.
- Calculate and graph residuals.
- Compare slopes and intercepts of two or more regression lines.
- Interpolate new points along the standard curve.
- Pearson or Spearman (nonparametric) correlation.
- Fit one of our 105 built-in equations, or enter your own.
- Enter differential or implicit equations.
- Enter different equations for different data sets.
- Global nonlinear regression – share parameters between data sets.
- Robust nonlinear regression.
- Automatic outlier identification or elimination.
- Compare models using extra sum-of-squares F test or AICc.
- Compare parameters between data sets.
- Apply constraints.
- Differentially weight points by several methods.
- Accept automatic initial estimated values or enter your own.
- Automatically graph curve over specified range of X values.
- Quantify precision of fits with SE or CI of parameters.
- Quantify symmetry of inprecision with Hougaard’s skewness.
- Plot confidence or prediction bands.
- Test normality of residuals.
- Runs or replicates test of adequacy of model.
- Report the covariance matrix or set of dependencies.
- Easily interpolate points from the best fit curve.
Clinical (diagnostic) lab statistics
- Bland-Altman plots
- Receiver operator characteristic (ROC) curves
- Deming regression (type ll linear regression)
Prism 6 – Automation
There are four different approaches to automation in PRISM. All of those four approaches can help you dealing more effectively, quickly and safely with routine tasks. For each section in the workflow you have an automation variant.
Wand and Magic
If you love MAGIC, you will love the new WAND. While MAGIC reformats graphs, the WAND analyzes and graphs a new data table to match what you have done to another.
If you've already entered data onto an empty data table, it is too late to clone, too late to duplicate a family, and too late to open a template -- at least without copy and pasting data. Prism provides a great tool to solve this problem: the Wand (Wizard to ANalyze Data). Use it to analyze (and graph) the new table just like you already analyzed (and graphed) an existing table.
Prism Magic makes graphs consistent. Use the Prism Magic tool in the Change section of the Prism toolbar to make one graph look like another. You can choose any recently-used graph, any graph in an open project, or any graph saved as an example.
A template is a Prism file that you recycle. Choose a template, add new data, and all the analyses and graphs will be created automatically. Templates are an older feature, and we recommend you clone a graph, or use the Wand, instead.
A Prism template is a regular Prism file, with three differences:
- A template has the extension .pzt. When Prism opens such a file, it will "forget" the file name and open the file without a name. Then it will prompt for a file name when you save. This prevents accidentally overwriting the template.
- When you save a template, you can enter some brief instructions that will appear when the template is opened. This can be useful when you are creating a template for others to use.
- A list of templates will appear on the Open a File tab of the Welcome dialog.
If you've already entered data onto an empty data table, it is too late to using cloning or templates -- at least without copy and pasting. But it is not too late to apply a method to your data. Effectively, this means telling Prism to analyze (and graph) the new table just like you already analyzed (and graphed) an existing one. This is called using a Method. Method is comparable to Wand. The difference is: a Method is like a Template pre saved.