Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Videos

Cytotoxic assays for screening anticancer agents.

Lamya A Baharith1, Abeer Al-Khouli, Gillian M Raab

  • 1Department of Statistics, King Abdul Aziz University, Jeddah, Saudi Arabia.

Statistics in Medicine
|July 14, 2005
PubMed
Summary
This summary is machine-generated.

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Four checks for low-fidelity synthetic data: recommendations for disclosure control and quality evaluation.

International journal of population data science·2025
Same author

The Odds Exponential-Pareto IV Distribution: Regression Model and Application.

Entropy (Basel, Switzerland)·2020
Same author

Effect of wet cupping on reducing bone pain for patients in King Abdulaziz University Hospital, Saudi Arabia. A retrospective study.

Saudi medical journal·2019
Same author

Association between socioeconomic factors and cancer risk: a population cohort study in Scotland (1991-2006).

PloS one·2014
Same author

Does widowhood increase mortality risk?: testing for selection effects by comparing causes of spousal death.

Epidemiology (Cambridge, Mass.)·2010
Same author

Bypass versus Angioplasty in Severe Ischaemia of the Leg (BASIL) trial: An intention-to-treat analysis of amputation-free and overall survival in patients randomized to a bypass surgery-first or a balloon angioplasty-first revascularization strategy.

Journal of vascular surgery·2010
Same journal

Latent Class Log-Linear Models for Estimating Diagnostic Test Accuracy Without a Gold Standard: A Simulation Study.

Statistics in medicine·2026
Same journal

Interpretable Bayesian Modeling for Multireader Multicase Studies: Addressing Overdispersion and Limited Sample Size in Diagnostic Enhancement Evaluation.

Statistics in medicine·2026
Same journal

Adaptive Sequential Multiple Hypotheses Testing for Concomitant Vaccine Safety Surveillance.

Statistics in medicine·2026
Same journal

Novel Distance Regression for Repeated Outcomes With Missing Data: Applications to Longitudinal and Crossover Studies of Microbiome Beta-Diversity.

Statistics in medicine·2026
Same journal

Optimal Weighted Tests for Replication Studies and the 'Two-Trials Rule' With Multiple Hypotheses.

Statistics in medicine·2026
Same journal

Identifiable Copula-Double-Cox Models: A Fully Parametric Framework for Dependent Right-Censored Survival Data.

Statistics in medicine·2026
See all related articles

This study introduces non-linear models as a superior alternative to linear interpolation for assessing anticancer agent cytotoxicity. These advanced models offer more precise toxicity estimates and enable robust comparisons for drug discovery.

Area of Science:

  • Pharmacology
  • Biostatistics
  • Computational Biology

Background:

  • The National Cancer Institute (NCI) uses linear interpolation to estimate drug doses inhibiting cancer cell growth.
  • Current methods provide dose-response profiles but lack detailed statistical insights.

Purpose of the Study:

  • To propose and evaluate non-linear fitting models as an alternative to NCI's linear interpolation for anticancer agent evaluation.
  • To demonstrate the advantages of model-based toxicity estimates over interpolation methods.

Main Methods:

  • Non-linear mixed-effects models were applied to dose-response data from cancer cell lines.
  • Two non-linear functional forms were fitted using maximum likelihood and Bayesian approaches.
  • The models were tested using data from two agents recently submitted to the NCI.

Related Experiment Videos

Main Results:

  • Fitting individual non-linear curves was challenging, but a mixed-effects model approach successfully addressed these difficulties.
  • Model-based estimates offer standard errors for toxicity and derived quantities, facilitating model comparison.
  • The proposed non-linear models provide a more comprehensive analysis of cytotoxic activity.

Conclusions:

  • Non-linear mixed models offer significant advantages over linear interpolation for anticancer agent screening.
  • These advanced statistical approaches enhance the precision and interpretability of drug toxicity assessments.
  • The findings support the adoption of model-based methods for more robust drug discovery pipelines.