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Used to perform Kaplan-Meier survival analysis. Each row represents a subject or individual with elapsed survival time and outcome.

Used for count data organized into groups by two grouping variables (Treatment vs. Control and Positive vs. Negative Outcome). Appropriate for analysis by Chi-square and Fisher's exact test.

Used for data organized into groups by a single grouping variable (for example Treatment vs. Control or Female vs. Male). Often analyzed using t tests and one-way ANOVA.

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Automatically add multiple comparison results to graphs. Choose from a variety of P value summary styles including a responsive method appropriate for any alpha level

Used for data organized into groups by two grouping variables (for example Female Control vs. Female Treatment vs. Male Control vs. Male Treatment). Often analyzed using two-way ANOVA.

By using industry-standard formats (CSV, PNG, JSON, etc.), you can ensure that your projects can be utilized outside of Prism and open up new possibilities for your data workflows and integrations

Craft stunning Bubble plots faster, easier, and more intuitively than before. Interact and customize graphs from your Multiple Variables data in real-time

You can have as many windows open as you need and data in up to 2048 columns, with 512 sub columns in each. Expanded analysis constant dialog allows you to link to more results for all types of analyses

Explore countless ways to present a single data set. Select the visualization style that most clearly tells the story contained within your data. Simply choose a graph type, then customize it in real-time with changes to how the data are arranged, the style of the data points, labels, fonts, colors, and much more. The customization options are endless.

Used when it makes sense to ask: "What fraction of the total is each value in the table?". Used for calculating fractions and generating pie charts.

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Fit a model to a binary outcome (yes/no, win/lose, pass/fail) based on one predictor variable (simple logistic regression) or many predictor variables (multiple logistic regression)

Reduce the complexity of statistics. Prism’s online help goes beyond your expectations. At almost every step, access thousands of pages from the Prism User Guides. Learn from video lessons, guides and educational materials through Prism Academy. Browse the Graph Portfolio and learn how to make a wide range of graph types. Tutorial data sets also help you understand why you should perform certain analyses and how to interpret your results.

No coding required! Prism will automatically encode categorical variables and perform the analysis. Specify a reference and organize all levels of categorical variables in a model for clear, readable results

Optimize your experiments from the start by accurately determining the necessary sample size for your predicted effect, or investigate the smallest effect you can detect given a limited sample size.

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A new range of tools to help prepare your data for analysis. Covering multiple variables data tables, select and transform analysis and extract and rearrange functionality

Automatically add multiple pairwise comparisons to your analysis with a single click. For customization options of these lines and asterisks, simply click the toolbar button again. Make adjustments to the data or the analysis, and the results displayed on the graph will update automatically.

Avoid those messy email threads and use Prism Cloud to share, view and collaborate on your Prism projects. Safeguard the interoperability and reusability of your results with Prism’s open access file format. By using industry-standard formats (CSV, PNG, JSON, etc.), you can ensure that your projects can be utilized outside of Prism to open up new possibilities for your data workflows and integrations.

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Used when every data point is defined by a single X and Y value. These sorts of data are often fit with linear or nonlinear regression models.

Prism is specifically formatted for the analyses you want to run, including analysis of quantitative and categorical data. This makes it easier to enter data correctly, choose suitable analyses, and create stunning graphs.

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Used when each row of the data is a different observation and each column is a different variable and supports text values. Can be analyzed directly with multiple linear regression, Cox regression, and others or restructured into one of Prism's other table types.

Focus your efforts on analyzing the most relevant data. Customize how you present the relationships in the data to effectively explore large data sets. Notice something interesting? Highlight a single data point to explore its corresponding properties. With Prisms' robust data wrangling capabilities, you can both save time and ensure that your analysis is based on clean and well-structured data.

A convenient way to establish connections between different elements in Prism. A new easy-to-navigate tree structure now covers the entire library of Prism analyses

Major improvements in showing general data trends through Akima splines and smoothing splines with improved control over the number of knots, or inflection points

Use Prism Cloud to avoid those messy email threads. Keep all of your discussions in one place while securely controlling who has access to your work

Perform multiple independent two-sample comparison tests simultaneously. Select from parametric/nonparametric tests, and specify if data are unpaired/paired

Reduce time to publish. Prism allows you to customize your exports (file type, resolution, transparency, dimensions, color space RGB/CMYK) to meet the requirements of journals. Set your defaults to save time.

Avoid statistical jargon. In clear language, Prism presents an extensive library of analyses from common to highly specific— t tests, one-, two- and three-way ANOVA,linear and nonlinear regression dose-response curves, binary logistic regression, survival analysis, principal component analysis, and much more. Each analysis has a checklist to help you understand the required statistical assumptions and confirm you have selected an appropriate test.

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Calculate and select the principal components that describe the greatest amount of variance in your data. Choose from selection techniques including Parallel Analysis via Monte Carlo simulation, Eigenvalue threshold, Proportion of Variance threshold, and more

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Prism handles the coding for you. Graphs and results are automatically updated in real time. Any changes to the data and analyses— direct entry of data, omitting erroneous data, correcting typos, or changing analysis choices—are reflected in results, graphs, and layouts instantaneously.

Use the specified model to predict values for the dependent variable based on data in the data table or using theoretical values specified in the analysis

No other program simplifies curve fitting like Prism. Select an equation and Prism does the rest—fits the curve, displays a table of results and function parameters, draws the curve on the graph, and interpolates unknown values.