Research Articles
Optimizing Hormone Assay Frequency for Accurate Menstrual Phase Determination: A Guide for Researchers and Drug Developers
Accurately determining menstrual cycle phases is critical for reproductive health research and clinical trials, yet methodologies for hormone assay timing and frequency lack standardization.
Informative Cluster Size in Biomedical Data: Statistical Methods for Detection, Analysis, and Power Calculation
This article provides a comprehensive guide for researchers and drug development professionals on handling informative cluster size (ICS) in biomedical studies.
Innovations in Hormone Verification for Resource-Limited Settings: 2025 Strategies for Researchers and Developers
This article provides a comprehensive guide for researchers and drug development professionals tackling the challenge of hormone verification in resource-constrained environments.
Beyond the Calendar: Addressing Methodological Challenges in Menstrual Cycle Endpoint Measurement for Robust Clinical Research
This article synthesizes current evidence and consensus recommendations to address the critical methodological challenges in measuring menstrual cycle endpoints for clinical and research applications.
Advancing the Detection of Subtle Menstrual Disturbances in Athletes: Methods, Validation, and Clinical Implications
Subtle menstrual disturbances (SMDs), including anovulation and luteal phase deficiency, are prevalent in athlete populations and can signal underlying health issues like Relative Energy Deficiency in Sport (RED-S), with significant...
Managing Within-Woman Menstrual Cycle Variability: A Research and Clinical Framework for Drug Development and Women's Health
This article provides a comprehensive framework for researchers, scientists, and drug development professionals to understand, measure, and account for within-woman variability in menstrual cycle length.
Navigating the Maze: A Comprehensive Guide to Mitigating Confounding Factors in Hormone Research
This article provides a systematic framework for researchers, scientists, and drug development professionals to identify, control for, and validate findings against confounding factors in hormone studies.
Beyond the Biased Cycle: Methodological Strategies to Mitigate Selection Bias in Menstrual Health Research
This article addresses the critical challenge of selection bias in menstrual cycle research, a pervasive issue that compromises data validity and generalizability.
Beyond the Calendar: Advanced Protocols for Capturing Hormonally Discrete Menstrual Phases in Clinical Research
Accurately defining menstrual cycle phases is critical for research on female physiology, drug effects, and athletic performance, yet methodological inconsistencies plague the field.
Integrating Tracking Methods in Menstrual Cycle Research: A Multi-Modal Framework for Scientific and Clinical Advancement
This article synthesizes current evidence and methodologies for combining diverse menstrual cycle tracking technologies in research and drug development.