In oncology drug development, using biomarkers to select a study population more likely to benefit from a therapeutic effect is critical to increase the efficiency of a clinical trial in demonstrating ...

An analysis of reports from phase III trials (published between 2011 and 2013) investigating patients with solid tumours found widespread failings in both the conduct and reporting of subgroup ...

One of the most recognized features of No Child Left Behind is subgroup analysis, which shifted attention from the average performance of a school to the performance of specific populations within a ...

The values of the subgroup-variable, which is specified in the chart statement, indicate how the observations in the input data set (a DATA=, HISTORY=, or TABLE= data set) are arranged into rational ...

We conducted subanalyses of the combined results of the Maraviroc versus Optimized Therapy in Viremic Antiretroviral Treatment-Experienced Patients (MOTIVATE) 1 and MOTIVATE 2 studies to better ...

We review Bayesian and Bayesian decision theoretic approaches to subgroup analysis and applications to subgroup-based adaptive clinical trial designs. Subgroup analysis refers to inference about ...

We evaluated the efficacy of raltegravir and the development of viral resistance in two identical trials involving patients who were infected with human immunodeficiency virus type 1 (HIV-1) with ...