Pharmacokinetic analysis across studies to drive knowledge‐integration: A tutorial on individual patient data meta‐analysis (IPDMA)
Abstract Answering challenging questions in drug development sometimes requires pharmacokinetic (PK) data analysis across different studies, for example, to characterize PKs across diverse regions or populations, or to increase statistical power for subpopulations by combining smaller size trials. G...
Main Authors: | Rob C. vanWijk, Marjorie Z. Imperial, Radojka M. Savic, Belén P. Solans |
---|---|
Format: | Article |
Language: | English |
Published: |
Wiley
2023-09-01
|
Series: | CPT: Pharmacometrics & Systems Pharmacology |
Online Access: | https://doi.org/10.1002/psp4.13002 |
Similar Items
-
Finding the right hazard function for time‐to‐event modeling: A tutorial and Shiny application
by: Rob C. VanWijk, et al.
Published: (2022-08-01) -
Ruling out pulmonary embolism across different subgroups of patients and healthcare settings: protocol for a systematic review and individual patient data meta-analysis (IPDMA)
by: G.-J. Geersing, et al.
Published: (2018-07-01) -
Tutorial: Statistical analysis and reporting of clinical pharmacokinetic studies
by: Ann‐Cathrine Dalgård Dunvald, et al.
Published: (2022-08-01) -
A tutorial on physiologically based pharmacokinetic approaches in lactation research
by: Amita Pansari, et al.
Published: (2024-11-01) -
PKQuest_Java: free, interactive physiologically based pharmacokinetic software package and tutorial
by: Levitt David G
Published: (2009-08-01)