PLT Data is a graphical interface to create NONMEM* datasets from source files:

  • Source files can be from Excel (.xls, .xlsx, .csv), SAS (.xpt, .sas7bdat), or text format (pipe-delimited)
  • Files are converted to csv format, summarized, and a portion displayed in a text file.
  • Link sample / Cp data (options -- only needed if these data are in separate files).
  • Merge dosing and DV (Cp) data into a format accessible to NONMEM.
  • Time: calculate 'time after dose'; time in hours or days; referenced to first sample or dose or preceding midnight
  • Add covariate data (demographics / vital signs / lab values to dataset.
  • Calculate additional covariates (BMI, BSA, LBM, Elderly (cutoffs of 65, 70, 80 years), GFR (5 equations available).
  • Graphics: by subject (by period, if in dataset), time-after-dose, composites, dose-normalized

    • PLT Tools is a suite of tools that facilitates the conduct of NONMEM* analyses and does the following:

  • Run NONMEM from a graphical interface
  • Create high-quality graphics
  • File NONMEM outputs automatically
  • Perform statistics
  • Edit Control Streams without leaving PLT Tools
  • Model diagnostics using xpose†
  • Summarize runs and prepare a report (RTF format)
  • Create an archive of a project
  • Select runs to be used by the "Prepare a Report" and Archive Manager tools

    • PLTconvert is a graphical interface to convert SAS files (SAS7BDAT or XPT) to CSV.

  • R and R's haven package (both open-source, available at r-project.org), are required.
  • PLTconvert can manage single files or folders containing multiple files.
  • Drag-and-drop supported.

    • * NONMEM is a registered trademark of the Regents of the University of California; NONMEM licenses are obtained from Icon Development Solutions.

    † xpose copyright is held by Hooker, Karlsson, Jonsson