Standards-Driven Statistical Science Portfolio
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  1. Statistical Science
  2. PK/PD

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Alpha TRAORE
Senior Statistical Scientist
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  • Statistical Science
    • Scientific Leadership and Positioning
    • Statistical Study Leadership
    • Trial Design, Estimands, and Planning
    • Study Design Overview
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    • Multiplicity
    • Missing Data
    • Sensitivity Analyses
    • Statistical Modeling
    • Modeling Methods
    • Modeling Overview
    • MMRM
    • Survival Analysis
    • PK/PD
    • Quality, Validation, and Delivery Readiness
    • QC and Validation
  • Programming & Data Standards
    • SDTM
    • SDTM Overview
    • Domains (with Specs)
    • SDTM DM (Demographics)
    • SDTM AE (Adverse Events)
    • SDTM VS (Vital Signs)
    • Submission Package
    • Case Report Forms
    • Outputs
    • Define XML
    • SDRG
    • Build & Quality
    • Programs
    • Validation Summary
    • QC
    • Standards
    • ADaM
    • ADaM Overview
    • Domains (with Specs)
    • ADaM ADSL (Subject-Level Analysis Dataset)
    • ADaM ADAE (Adverse Events Analysis Dataset)
    • ADaM ADVS (Vital Signs Analysis Dataset)
    • ADaM ADTTE (Time-to-Event Analysis Dataset)
    • Submission Package
    • Outputs
    • Define
    • ADRG
    • Build Quality
    • Programs
    • Validation
    • QC
    • Standards
    • TLFs
    • TLF Overview
    • Tables
    • Table 1: Demographics
    • Table 2: TEAE by SOC/PT
    • Table 3: Table 3: PFS Summary
    • Table 4: Table 4: ORR
    • Table 5: Heart Rate Change
    • Figures
    • Figure 1: Cumulative Incidence Function (CIF) Plot (PFS)
    • Figure 2: PFS Kaplan–Meier
    • Figure 3: BMI Over Time by Treatment
    • Listings
    • Listing 1: Demographics & Baseline (Analysis Set)
    • Listing 2: TEAEs by SOC/PT
    • Listing 3: ORR

Table of contents

  • Deliverables
  • Programs and Outputs (HTML)
  • What you’ll find here
  • Core components (typical)
  • QC checklist
  1. Statistical Science
  2. PK/PD

PK/PD

Exposure–response • covariates • diagnostics • simulation-ready reporting

TipGoal

Demonstrate PK/PD modeling workflows that are transparent and reproducible, with clear diagnostics and clinically interpretable parameters.

Deliverables

Specifications / Notes

  • PK/PD Model Notes / Spec

Programming

  • PK/PD Modeling Program

Programs and Outputs (HTML)

  • PK/PD Output Report

What you’ll find here

  • Purpose: Concentration-time and exposure–response modeling examples
  • Traceability: Raw/derived PK → modeling dataset → model → diagnostics → outputs
  • Typical outputs: Parameter table, GOF plots, residual diagnostics, VPC (if applicable)

Core components (typical)

  • Structural model: 1–2 compartment (as applicable)
  • Variability: IIV + residual error model
  • Covariates: Weight, renal/hepatic function, age, formulation, etc.
  • Reporting: Diagnostics + interpretation + (optional) simulation scenarios

QC checklist

  • Time alignment: Dosing, sampling, and units consistently handled
  • BLQ handling: Documented approach and impact assessment
  • Sensitivity: Alternative error/covariate forms where appropriate
  • Reproducibility: Versioned runs and locked outputs
Survival Analysis
Quality, Validation, and Delivery Readiness

© 2026 Alpha Traore

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