Background Randomization is the foundation of any clinical trial involving treatment
comparison. It helps mitigate selection bias, promotes similarity of treatment groups with …

A/B testing is critical for modern technological companies to evaluate the effectiveness of
newly developed products against standard baselines. This paper studies optimal designs …

The validation of new approach methods (NAMs) in toxicology faces significant challenges,
including the integration of diverse data, selection of appropriate reference chemicals, and …

When planning a cluster randomized trial, evaluators often have access to an enumerated
cohort representing the target population of clusters. Practicalities of conducting the trial …

Objectives: Galvanic vestibular stimulation (GVS) has shown positive outcomes in various
neurological and psychiatric disorders, such as enhancing postural balance and cognitive …

Modern drug development problems are very complex and require integration of various
scientific fields. Traditionally, statistical methods have been the primary tool for design and …

We study optimal designs for clinical trials when the value of the response and its variance
depend on treatment and covariates are included in the response model. Such designs are …

We provide a systematic treatment of $ D $-optimal design for binary regression and quantal
response models in toxicology studies. For the two-parameter case, we provide an analytical …

We study approaches to the robust model-based design of experiments in the context of
maximum-likelihood estimation. These approaches provide robustification of model-based …

Clinical trials in public health—particularly those conducted in low‐and middle‐income
countries—often involve communicable and non‐communicable diseases with high disease …