Research Articles
Surrogate Models in Expensive Black-Box Optimization: Accelerating Discovery in Biomedicine and Beyond
This article explores the transformative role of surrogate models in tackling computationally expensive black-box optimization problems, with a special focus on applications in drug development and biomedical research.
Predictive vs. Criterion Validity: A Researcher's Guide to Validation Testing in Drug Development
This article provides a comprehensive guide for researchers and drug development professionals on validating predictive and criterion-based tests.
Managing Specimen Stability in Laboratory Method Comparison: A Comprehensive Guide for Robust Bioanalytical Data
This article provides researchers, scientists, and drug development professionals with a comprehensive framework for managing specimen stability during method comparison studies.
A Robust Methodology for Comparing Optimization Algorithms in Biomedical Research
This article provides a comprehensive framework for the fair and effective comparison of optimization algorithms, with a specific focus on applications in drug discovery and development.
Standardized Experimentation Protocols: A Framework for Reliable and Reproducible Biomedical Research
This article provides a comprehensive guide for researchers, scientists, and drug development professionals on implementing standardized experimentation protocols.
Correcting for Selection Bias in Non-Randomized Experiments: A Comprehensive Guide for Biomedical Researchers
This article provides a systematic framework for researchers and drug development professionals to understand, identify, and correct for selection bias in non-randomized studies (NRS).
Quasi-Experimental Design for Policy Evaluation: A Practical Guide for Biomedical Researchers
This article provides a comprehensive guide to quasi-experimental design (QED) for researchers and professionals evaluating health and drug policies.
Pre-Post vs. Interrupted Time Series Design: A Strategic Guide for Clinical Researchers
This article provides a comprehensive guide for researchers and drug development professionals on selecting and applying two pivotal quasi-experimental designs: the pretest-posttest and interrupted time series (ITS).
Mastering Interrupted Time Series (ITS) Design: A Comprehensive Guide for Robust Drug Utilization and Healthcare Policy Evaluation
This article provides a comprehensive guide to Interrupted Time Series (ITS) design, a powerful quasi-experimental method for evaluating the impact of interventions in healthcare and drug development.
Advanced Sample Preparation Protocols for Simultaneous Extraction of Metoprolol and Combinations
This article provides a comprehensive guide for researchers and drug development professionals on modern sample preparation techniques for the simultaneous extraction of metoprolol, its metabolites, and other cardiovascular drug combinations...