discrete-event simulation in clinical trials - Institut für Statistik ...

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Validation ‣ The model has been validated and verified in function of a fixed end points (goals). ‣ Setting end points and establishing the scope of the model is more difficult than the methodology itself. 16
Statistic phases of the process ‣ Validation of the conceptual model: • Try model • Parameter estimation or Adjustment • Validation of the model suppositions: residual analysis, confidence intervals, etc ‣ Operational validation: basically comparation between real data and simulated data 17
Page 1 and 2: DRUGS CLINICAL TRIAL OPTIMIZATION U
Page 3 and 4: Schedule • Clinical trial framewo
Page 5 and 6: Randomization 5
Page 7 and 8: The bio-pharmacological basis of cl
Page 9 and 10: Dk k [ exp( −ket) − exp( −kat
Page 11 and 12: Simulation general framework
Page 13 and 14: Modelization/Simulation process Sta
Page 15: Sargent paradigm 15
Page 19 and 20: Operational validation: methodologi
Page 21 and 22: Mixed model: General form ‣ Linea
Page 23 and 24: Types of simulations in function of
Page 25 and 26: SIMULATION METHODOLOGY: Statistical
Page 27 and 28: Realistic simulation by means of di
Page 29 and 30: STATISTICAL MODELLING 1-Disease pro
Page 31 and 32: N=144 Start of CT W(10) 0 months Ti
Page 33 and 34: Determination of the ending moment
Page 35 and 36: ‣Validation/Verification methodol
Page 37: Vielen dank für Ihre Aufmerksamkei

discrete-event simulation in clinical trials - Institut für Statistik ...

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