GraphPad Prism 11 Biostatistics Software | NFI CO., LTD.

GraphPad Prism 11 Biostatistics Software

  • GraphPad Prism 11 Biostatistics Software
  • 編號
  • 類別
    Biostatistical Analysis Software
  • 介紹
    GraphPad Prism 11 is a globally recognized scientific graphing and data analysis software solution that helps researchers analyze and present experimental data more quickly and efficiently. It provides a wide range of analytical tools and graph templates, supporting data analysis across multiple fields such as biology, medicine, chemistry, and physics. With GraphPad Prism 11, users can easily perform statistical analysis, curve fitting, graph creation, and report generation. Its excellent graphing capabilities and intuitive interface make it easy to present research results clearly and profess
  • 價格

GraphPad Prism 11 Biometric Software

Discover What’s New in Prism 11
​
Introducing an even more powerful Prism featuring enhanced data visualization and graph customization, more intuitive navigation, and more sophisticated statistical analyses.

Enhanced Data Visualization and Graphs Customization 
Bubble Plots 
Create Bubble Plots directly from raw data, encoding variables
for position (X- and Y-coordinates), color, and size
​Violin plots 
Visualize distributions of large data sets with either extended or
truncated violin plots

Estimation Plots 
Automatically display your analysis results

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


Improved Graphing and Customization Options 
Stars on Graph 
Automatically add multiple comparison results to graphs

Automatically label bar graphs 
Annotate your bar graphs with values for the means, medians,
or sample sizes to emphasize what's important in your work

Improved grouped graphs 
Easily create graphs that show both individual points (scatter)
along with bars for mean (or median) and error bars


More Intuitive Navigation 
Find related sheets easily 

New family panel shows the family of sheets related to the current sheet, and chains of analyses are automatically indented

Easily navigate between multiple results tables 
Analyses with multiple results tables now grouped into a single
sheet with tabs for each result table; choose which tabs to show
or hide

Improved Search 
Search by sheets with highlights or notes of specified color


Now Featuring Eight Kinds of Data Tables 
Multiple variables data table 

Each row represents a different subject and each column is a different variable, allowing you to perform multiple linear regression (including Poisson regression), extract subsets of data into other
table types, or select and transform subsets of the data. Prism’s multiple variable tables support text variables and have the ability to define variable types

Nested data table 
Analyze and visualize data that contains subsets within related
groups; Perform nested t tests and nested one-way ANOVA
using data within these tables


More Sophisticated Statistical Analyses 
Perform repeated measures ANOVA – even with missing data 
Now Prism will automatically fit a mixed effects model to complete this analysis

Perform simple and multiple logistic regression 
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)

Principal Component Analysis 
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

Multiple t test (and nonparametric) analyses 
Perform multiple independent two-sample comparison tests simultaneously. Select from parametric/nonparametric tests, and specify if data are unpaired/paired

Analyze categorical variables with text in Multiple Linear and
Multiple Logistic Regression 

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

Interpolation from multiple linear and multiple logistic regression 
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

 

System Requirements

GraphPad Prism 11 for Windows
OS:
Runs under the 64-bit versions of Windows 10 and 11.
         Prism 10 does not support 32-bit editions of Windows.


CPU: x86-64 compatible. Note: Prism Windows is not currtently offerfed in a version compiled to run natively on ARM chipsets (i.e. Qulacomm)
Snapdragon). However, Prism Windows can run on ARM-powered devices using x64 emulation which is now generally available with Windows 11.

RAM: For comfortable performance and responsiveness,
             Prism requires the following amount of RAM:


          • 2 GB RAM for up to 2 million data cells in currently
                open Prism files


          • 4 GB RAM for 2-8 million data cells

          • 8 GB RAM for 8-16 million data cells

          • 16 GB RAM for greater than 16 million cells

Display: The minimum display resolution is 800 x 600,
                    but the recommended display resolution for
                    comfortable work is 1366 x 768.


HD: Requires about 100 MB (megabytes) of space on the
          hard drive.


Internet: Prism must connect to the internet to verify the
                     license when it is first activated. It will also attempt
                     to connect upon 
every launch, and every 24 hours
                     if the application is not closed. To continue operatin
                     g, this connection must be successful once every
                     30 days (or 20 attempts, whichever comes sooner).


Prism 10 for Mac
OS:
Runs under macOS X 10.15 (Catalina) or later. If you use
         macOS 10.14, 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 10.14,
         we urge you to update MacOS.


       • Prism version 10.0.3 fixes a critical issue present in previous versions of Prism with macOS 14 Sonoma. These previous versions will be unable to create new files or open existing files on macOS 14 Sonoma.

CPU: Prism Mac is delivered as a Universal Binary and will run
            natively on both Apple silicon and Intel-based Mac
            computers.


Display: Requires a display with a resolution of at least 1024 x 768 pixels.

HDD: Requires about  130 MB (megabytes) of space on the
              hard drive.


Internet: Prism must connect to the internet to verify the
                      license when it is first activated. It will also attempt
                      to connect upon every launch,and every 24 hours if
                      the application is not closed. To continue operating,
                      this connection must be successful once every 30
                      days (or 20 attempts, whichever comes sooner).

 

GraphPad Prism 11 Biostatistics Software

Discover What's New in Prism 11!
​
​​​​​​Experience a more powerful Prism with enhanced data visualization and graph customization, more intuitive navigation, and more advanced statistical analysis.

Enhanced Data Visualization and Graph Customization
​
Bubble Plots
Create bubble plots directly from raw data, encoding variables by position (X and Y coordinates), color, and size.
​​​​​​​Violin Plots
Visualize the distribution of large datasets using extended or truncated violin plots.

Estimation Plots
Automatically display your analysis results.

Smoothing Splines
Significant improvements in displaying general data trends with Akima splines and smoothing splines, with enhanced control over the number of knots or inflection points.

Improved Graphing and Customization Options 
Stars on Graphs 
Automatically add multiple comparison results to graphs.

Automatic Bar Chart Labels 
Annotate bar charts with mean, median, or sample size values to highlight important information in your work.

Improved Grouped Graphs 
Easily create graphs that display individual data points (scatter plots) together with means (or medians) and error bars.


More Intuitive Navigation 
Easily Find Related Sheets 
The new Family panel displays groups of sheets related to the current sheet, with analysis chains automatically indented.

Easily Navigate Between Multiple Results Tables 
Analyses with multiple results tables are now grouped into a single table, with each result table displayed as a tab. Choose which tabs to show or hide.

Improved Search 
Search for worksheets by highlights or annotations with specified colors.

Now Featuring Eight Types of Data Tables 
Multivariable Data Tables
Each row represents a different subject, while each column represents a different variable. This allows you to perform multiple linear regression, including Poisson regression, extract subsets of data into other table types, or select and transform subsets of data. Prism's multivariable tables support text variables and allow you to define variable types.

Nested Data Tables 
Analyze and visualize data containing related subsets within groups. Use data from these tables to perform nested t tests and nested one-way ANOVA.


More Advanced Statistical Analysis 
Perform Repeated Measures ANOVA - Even with Missing Data 
Prism now automatically fits a mixed-effects model to complete this analysis.

Perform Simple and Multiple Logistic Regression 
Fit models to binary outcomes (yes/no, win/lose, pass/fail) based on one predictor variable (simple logistic regression) or multiple predictor variables (multiple logistic regression).

Principal Component Analysis 
Calculate and select principal components that describe the greatest amount of variance in your data. Choose from selection techniques including parallel analysis through Monte Carlo simulation, eigenvalue thresholds, proportion-of-variance thresholds, and more.

Multiple t Tests (and Nonparametric) Analysis 
Perform multiple independent two-sample comparison tests simultaneously. Choose between parametric and nonparametric tests and specify whether the data are unpaired or paired.

Use Text-Based Categorical Variables in Multiple Linear and Multiple Logistic Regression 
No manual coding required. Prism automatically encodes categorical variables and performs the analysis. Specify reference levels and organize all levels of categorical variables within the model to obtain clear and readable results.

Interpolation for Multiple Linear and Multiple Logistic Regression 
Use a specified model to predict values of the dependent variable based on data in the data table or theoretical values specified in the analysis.

 
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