East Horizon Release Notes Latest

Multi Arm Multi Stage (MAMS): P-value Combination Method for Time to Event, Continuous and Binary endpoints.

• You can simulate confirmatory multi arm, multi stage trials for a continuous endpoint using a difference of means test and a binary endpoint using a difference of proportions test.

• You can specify treatment selection rules to assess for stopping the trial in the second stage.

Multi Arm Multi Stage (MAMS): Cumulative Method for Continuous and Binary endpoints.

• You can design and simulate confirmatory multi arm, multi stage trials for a continuous endpoint using a difference of means test and a binary endpoint using a difference of proportions test.

• You can specify treatment selection rules to assess for stopping the trial in the second stage via simulation.

Multiplicity: Design

Multi arm Confirmatory, P-value combination Method: Binary and Continuous Endpoints.

• You have the option to specify R code, R functions or files with or without initialization of all the tasks.

• You can customize patient enrollment, randomization, dropout, analysis, response and treatment selection using R code.

You can perform troubleshooting while doing custom patient data generation and analysis using custom R codes for East Horizon Explore and Design tests. This helps to quickly identify and solve errors in R code and is achieved by:

• Improving Error Messages

• Post Simulation Validation & Troubleshooting

Available for the following endpoints:

Two Arm Confirmatory Endpoints:

• Continuous Endpoint

• Binary Endpoint

• TTE Endpoint

• Repeated Measures

Multiarm Confirmatory Endpoints:

• Continuous Endpoint

• Binary Endpoint

The Results section has been revamped for Explore projects. 

This applies to all the applicable endpoints in the Explore product: two arm confirmatory (Time to Event, Continuous, Binary and Count), multi arm confirmatory (Continuous, Binary, TTE), dual endpoint (TTE, Binary), Vaccine Efficacy and Dose Finding designs, including assurance, repeated measures and stratification when supported. 

Improvements include:

• Heat Map & Scatterplot Color Palettes are customizable.
• Sorting & Annotation options for design/scenario parameters selection in Heatmap are combined into a single selection workflow
• Standard filters can be applied to specific columns within the Table View in addition to being applied at the Table level.
• Table columns are customizable: specific columns can be included, removed, rearranged, etc. within the Table View. Additionally, column width can be adjusted as well.
• Full user provided precision is applied to inputs for display and upto 3 decimal precision to outputs for display (i.e. the number of decimal places.)
• Explore tab is now renamed to ‘Details’ tab
• Test Designs is now renamed to ‘Dashboard’ tab
• Find Designs is now available under Search Icon on the top right corner alongside the Find Scenarios feature
• The Heatmap and Scatterplots are now integrated with the Table View
• This allows you to easily interact between a model chosen from the heat map / scatterplot with its summary details in the table view. If you select a model in the Heatmap / Scatterplot, the same model is highlighted in the table.
• Any Filters applied in the table will also be reflected in the heat map and scatterplot.
• When you Favorite or Unfavorite a model in the table, it will also be reflected in the heat map and scatterplot.
• The Weights (Scoring) feature is more easily accessible throughout the Results.
• The ability to download Results data to a CSV file has been improved.
• Summary Statistics Data download
  • This has been improved to allow selection of upto 500 models using a “Select all” checkbox in the model table up from 50 models allowed before.
• Design Summary View
  • Data is displayed and summarized in Design-wise fashion.
  • This transitions from a Model to a Design focused view.
  • Data is displayed via mean and range (Min, Avg, Max)
• Views
  • Earlier, the system allowed saving of one original view and one modified (customized) view

Users can now save up to 5 customized sets of results, with applicable modifications to columns, weights, filters, etc., for a given simulation. These are called Views.

• The ‘Original View’ is the original simulation Results.
• Any change made to Filters or Weights or Plots or Tables in the default View can be “Saved as” a new View with a unique, meaningful name.
• Views can be duplicated.
• Views can be deleted

You can now store files and folders with more flexibility in East Horizon. Option is now available to use files and folder structures to store the R files that are uploaded to East Horizon for using them in East Horizon R connection.

• You can copy, move and rename files and folders in East Horizon File management System.

• You can do Multi-Select Operations on multiple files concurrently.

• You can view supported file types in a Reading Pane as well as in a separate viewing window.

• You can edit selected file type.

• You can archive outdated files, and view and recover previously archived files.

• You can create and use files from your own projects in a file management system projects as per appropriate access rights.

• You can see a project folder corresponding to the project in the File Management System.

For a multi-arm TTE study, the design product supports fixed-sample designs with the following enhancements:

• Support for Harrington-Fleming and Max Combo test statistics

• Arm-specific piecewise exponential hazards and dropout rates

• Multiplicity adjustment controls using fallback and Hochberg procedures

Design

You can see the results in the layout as per your selection by clicking on the Layout button in the Home page of the Design results.

Two options are available as follows:

• Compact

• Spacious

You can add other specific users to their private projects.

You can now provide feedback about your experience for East Horizon R code Assistant which would help us improve it to better suit your needs.

Available for the following endpoints:

Two Arm Confirmatory Endpoints:

• Continuous Endpoint

• Binary Endpoint

• TTE Endpoint

• Repeated Measures

Multiarm Confirmatory Endpoints:

• Continuous Endpoint

• Binary Endpoint

You can now delete auto-populated Custom variables (declared as UserParam$<CustomVariableName>). This would help you remove conditionally used custom variables from cards.

• If you delete custom variables not required for a model, you can successfully simulate it.

• If you delete custom variables required for a model, and try to simulate a model, the application displays an appropriate error.

Results

When Endpoint Priorities Are Set as EP1 Secondary and EP2 Primary In Dual Endpoint Study Design, incorrect simulation outputs are generated.