The minor in social research methods and applied statistics teaches you to use qualitative and quantitative research methods to answer social questions. Designed for students in the College of Liberal ...

Exploratory Factor Analysis (EFA) is a pivotal statistical approach that enables researchers to uncover latent structures in complex datasets, a process that is increasingly integral to higher ...

Our laboratory has developed a range of data analysis workflows that incorporate advanced statistical and computational methods to interpret the complex molecular datasets generated by MS technologies ...

In today’s evidence-driven world, there is increasing demand for researchers with the skills to design, conduct, and evaluate studies that help institutions and schools improve their decision-making ...

Empirical research requires good data to complement statistical rigor in providing answers to global poverty questions. Poor data quality can lead to biases in causal inference, lower the probability ...

Through tumor profiling and statistical analysis, precision oncology uses genomic and other biomarkers to drive discovery, drug development, and clinical care for patients with cancer. It intends to ...

The Statistical & Data Sciences (SDS) Program links faculty and students from across the college interested in learning things from data. At Smith, students learn statistics by doing—class time ...

The mission of CNSTAT is to provide advice to the federal government and the nation grounded in the current best scientific knowledge and practice that will lead to improved statistical methods and ...

As rare disease trials face persistent feasibility challenges, Bayesian designs are gaining momentum by enabling more ...

Improving statistical methods to protect wildlife populations Threats affecting more and more species Date: May 22, 2024 Source: University of Barcelona Summary: In human populations, it is relatively ...