Order by request
Ab einer bestimmten Bestellmenge stellen wir Ihnen ein individuelles Angebot zusammen.
Dieser Artikel wird Ihrem Warenkorb beigelegt, wird jedoch nicht in der Berechnung berücksichtigt
Academic spezial price on request!
The preferred analysis and graphing solution purpose-built for scientific research. Join the world’s leading scientists and discover how you can use Prism to save time, make more appropriate analysis choices, and elegantly graph and present your scientific research.
Biostatistics in the Life Sciences
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 GraphPad Prism.
GraphPad Prism guides you through the process of the analysis. It facilitates the choice of the statistical tests and help you to interpret the results. No other software offers curve fitting and other statistical analysis to be so easy, comprehensive, correct and simple!
Wide Range of Applications
GraphPad Prism provides t-tests, one, two, and three-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. Flexible templates allow rapid creation of graphs with just a single click.
Customers also purchased
Graph Pad Prism 6.0
GraphPad Prism 6 is a powerful combination of biostatistics, curve fitting and scientific graphing
It is also used in academia to teach and learn statistical methods. PRISM is not meant to act as a full replacement for one of the comprehensive and expensive software packages in the field of statistics (SAS, JMP, SPSS, SYSTAT, Minitab) , but it can be perfectly used by non statisticians to execute the basic hypothesis testing and model fitting, as usually done in laboratories and in clinical research.
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. Some examples are: t-Test, One-Way- and Two-Way-ANOVA, Kruskal-Wallis- and Mann-Whitney-Test, Repeated-Measures-Analysis, Bland-Altman Plots and Receiver Operating Characteristic (ROC) Curves. No software can compete in terms of simplicity of model specification and robustness of the results in terms of nonlinear regression. PRISM has a built in library of 110 regression models, including meaningfully chose starting values for the fitting process. Examples are different dose-response-curves , Michaelis-Menten- and Enzyme-kinetic models.
On top of this GraphPad PRISM offers a wide variety of presentation quality graphics. The graphical engine is very flexible and easy to use, allowing a manifold of freedom to design your graph. E.g. color templates can be use to set all colors for a new graph with just a single click.
Routine analysis, which is very time consuming, can be automated . The ÂmagicÂ function edits graphs, so they receive the same layout with just a few clicks. The ÂwandÂ function duplicates a complex set of analysis based on one dataset, onto a new dataset. The complete analysis outputs as well as all the graphs are duplicated with a single click. The "template" function is a special way to save a project. A template is an empty container for data, analysis, graphs and presentations. Whenever a template is opened you only need to import data and all subsequent steps of the analysis are already done. All that is left to do is save the project and print the results.
The Âonline helpÂ is extremely context sensitive. It is written in a very clear and concise language that does not use unnecessary statistical jargon, but still has the depth that allows you to take safe decisions and interpretations based on your data and results.
Graphpad PRISM is basically unsurpassed in its ease of use. The process of picking the correct statistical analysis procedure and the proper interpretation of the results are guided by the help system. The possibility to pick the wrong procedure or to misinterpret the data is minimized.
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:
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.
|Other Requirements||Some features with Prism for Windows require Internet Explorer 6 and Flash Player 7 or higher||Â|
|Oparation System||Windows 32/64 bit (7,Vista, XP, 2000); Prism runs fine as a desktop app under Windows 8, but is not a Metro app so will not run on Windows 8 RT (tablet) computers.||Intel and PowerPC-based Mac computers using OS X 10.4 (Tiger), 10.5 (Leopard), 10.6 (Snow Leopard), 10.7 (Lion) or 10.8 (Mountain Lion)|
|Minimum CPU||Intel or PowerPC-based Mac Computer|
|Disk Space||60 MB||60 MB|
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
|Further Requirements||Must connect to the internet to verify the license when it is first activated and also at at least once every 30 days (or every 20 launches, whichever comes sooner).||
Must connect to the internet to verify the license when it is first activated and also at at least once every 30 days (or every 20 launches, whichever comes sooner).
Windows 7,8 and 10 (32-/64-Bit)
|Runs under macOS X 10.9 (Mavericks) or later. If you use macOS 10.8, Prism will launch and seems to run OK, but we haven’t tested Prism thoroughly under this version of macOS and can’t provide much support. If you use 10.8, we urge you to update MacOS.|
|Display Resolution||at least 800 x 600 pixels||at least 1024 x 768 pixels|
|Disk Space||100 MB||130 MB|
What's New in Prism 9 ?
- Paired or unpaired t tests. Reports P values and confidence intervals.
- Automatically generate volcano plot (difference vs. P value) from multiple t test analysis.
- Nonparametric Mann-Whitney test, including confidence interval of difference of medians.
- Kolmogorov-Smirnov test to compare two groups.
- Wilcoxon test with confidence interval of median.
- Perform many t tests at once, using False Discovery Rate (or Bonferroni multiple comparisons) to choose which comparisons are discoveries to study further.
- Ordinary or repeated measures 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.
- One-way ANOVA without assuming populations with equal standard deviations using Brown-Forsythe and Welch ANOVA, followed by appropriate comparisons tests (Games-Howell, Tamhane T2, Dunnett T3)
- Many multiple comparisons test are accompanied by confidence intervals and multiplicity adjusted P values.
- Greenhouse-Geisser correction so repeated measures one-, two-, and three-way ANOVA do 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, Bonferroni, Holm-Sidak, or Fisher’s LSD multiple comparisons testing main and simple effects.
- Three-way ANOVA (limited to two levels in two of the factors, and any number of levels in the third).
- Analysis of repeated measures data (one-, two-, and three-way) using a mixed effects model (similar to repeated measures ANOVA, but capable of handling missing data).
- Kaplan-Meier survival analysis. Compare curves with the log-rank test (including test for trend).
- Comparison of data from nested data tables using nested t test or nested one-way ANOVA (using mixed effects model).
- Fit one of our 105 built-in equations, or enter your own. Now including family of growth equations: exponential growth, exponential plateau, Gompertz, logistic, and beta (growth and then decay).
- 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 and assess how well your weighting method worked.
- 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. Confidence intervals can be symmetrical (as is traditional) or asymmetrical (which is more accurate).
- Quantify symmetry of imprecision 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.
- Fit straight lines to two data sets and determine the intersection point and both slopes.
- Calculate descriptive statistics: min, max, quartiles, mean, SD, SEM, CI, CV, skewness, kurtosis.
- Mean or geometric mean with confidence intervals.
- Frequency distributions (bin to histogram), including cumulative histograms.
- Normality testing by four methods (new: Anderson-Darling).
- Lognormality test and likelihood of sampling from normal (Gaussian) vs. lognormal distribution.
- Create QQ Plot as part of normality testing.
- One sample t test or Wilcoxon test to compare the column mean (or median) with a theoretical value.
- Identify outliers using Grubbs or ROUT method.
- Analyze a stack of P values, using Bonferroni multiple comparisons or the FDR approach to identify "significant" findings or discoveries.
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 in four different ways (including QQ plot).
- Compare slopes and intercepts of two or more regression lines.
- Interpolate new points along the standard curve.
- Pearson or Spearman (nonparametric) correlation.
- Multiple linear regression (including Poisson regression) using the new multiple variables data table.
Clinical (diagnostic) lab statistics
- Bland-Altman plots
- Receiver operator characteristic (ROC) curves
- Deming regression (type ll linear regression)
- Simulate XY, Column or Contingency tables.
- Repeat analyses of simulated data as a Monte-Carlo analysis.
- Plot functions from equations you select or enter and parameter values you choose.
- Area under the curve, with confidence interval.
- Transform data.
- Identify outliers.
- Normality tests.
- Transpose tables.
- Subtract baseline (and combine columns).
- Compute each value as a fraction of its row, column or grand total.