What "Impact" Do NLME Publications Have Outside Our Community?

Area of Science:

• Pharmacometrics
• Biostatistics
• Pharmacokinetics

Background:

• Nonlinear mixed-effect (NLME) modeling has seen a consistent rise in application since 1979.
• NLME modeling is a powerful tool for analyzing complex biological and pharmacological data.

Purpose of the Study:

• To evaluate the quality and presentation of NLME modeling studies published in journals with broad readership.
• To identify areas for improvement in the reporting of NLME analyses to enhance their impact.

Main Methods:

• Systematic review of publications utilizing NLME modeling.
• Analysis of articles published in journals targeting a diverse scientific audience.
• Assessment of reporting standards and presentation clarity.

Main Results:

• Growing trend in NLME publication numbers.
• Identification of common strengths and weaknesses in the presentation of NLME studies.
• Variability in the clarity and completeness of reported NLME methodologies and results.

Conclusions:

• NLME modeling is a valuable technique with expanding use.
• Standardizing the presentation of NLME studies can improve understanding and application.
• Targeted improvements can increase the future impact and accessibility of NLME research.