Cargo.lock

[weswc]

Metadata

• initial qc commit: ec95d46
• git branch: git_status
• author: Wes Cummings (wes@a2-ai.com)
• file contents at initial qc commit

NONMEM Model

NONMEM Model Control Stream

• Correct data files are used in model
  Correct data, file name and hash:
  • [INSERT]
• $INPUT matches Data columns
  If columns are ignored, explain which ones (i.e. character columns at the end of a dataset):
  • [INSERT]
• IGNORE statements subset the data correctly
  IGNORE statements that should be there and why:
  • [INSERT]
• Correct TIME and DV variables
  • DV or transformed DV used: [INSERT]
  • TIME column: [INSERT]
• Number of THETAs in the model match in $THETA
• Covariates on appropriate THETA
  Covariates and the parameters they should be on and functional form:
  • [INSERT]
• Correct Scale Factor and conversions used
  What the equation should be and why (e.g. S2 = V2/1000 because dose in mg and conc in ng/mL):
  • [INSERT]
• ETAs on correct parameters and match labels in $OMEGA block
• Residual Error model coded correctly
  • Confirm error model (i.e., proportional error): [INSERT]
• Description of PK model matches ADVAN/$DES.
  • PK model description (i.e., 2-CMT model with first-order absorption and LAG time): [INSERT]
• If Simulation, SEED included in $SIM
• $EST method consistent with expectation.
  • expectation (i.e., FOCE-I): [INSERT]
• $COV step included for model runs, include MATRIX

NONMEM Model Output

• Check Run Number matches the control stream
• Successful $EST step
  • MINIMIZATION SUCCESSFUL
  • Absence of warnings like MINIMIZATION TERMINATED or ROUNDING ERRORS
  • Check for any warnings or errors, such as SIGDIGIT, NO. OF FUNCTION EVALUATIONS EXCEEDED, or any numerical issues that might affect the model
• Successful $COV step
  • Ensure the matrix is positive definite. A non-positive definite matrix may indicate issues with model estimation
• Check parameters are not highly correlated
  • In the CORRELATION MATRIX OF ESTIMATE section, correlation coefficients < 0.95
• Condition Number < 1000
  • Found in the EIGENVALUES OF THE COVARIANCE MATRIX section, largest eigenvalue divided by smallest eigenvalue
• List parameters with high shrinkage (> 30%) to flag for analyst/medical writer