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 ...

Data analytics identify the top-performing practices in our research communities. The CTSC facilitates the integration of research with health systems management as well as with the community. We aim ...

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 ...

Cluster randomized trials (CRTs) represent a pivotal design in evaluating public health and clinical interventions where individuals are grouped into clusters (such as schools, hospitals or ...

Abstract: Assumptions play a pivotal role in the selection and efficacy of statistical models, as unmet assumptions can lead to flawed conclusions and impact decision-making. In both traditional ...

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 ...

The Ph.D. in educational statistics and research methods (ESRM) prepares students interested in statistics, psychometrics, education measurement, assessment and evaluation to develop, critically ...

Statistical methods now being used in adaptive biomarker-driven clinical trials are reviewed. Some previous paradigms for clinical trial design can limit the development of more effective methods on ...

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A relatively simple statistical analysis method can more accurately predict the risk of landslides caused by heavy rain, ...