id=7022). This course covers most frequently used statistical methods for data analysis. In addition to the standard inference methods such as parameter estimation, hypothesis testing, linear models ...

Predictive modeling of data using modern regression and classification methods. Multiple linear regression; logistic regression; pitfalls and diagnostics; nonparametric and nonlinear regression and ...

Statistics and Data Visualization Using R: The Art and Practice of Data Analysis by David S. Brown teaches students statistics through charts, graphs, and displays of data that help students develop ...

This webpage provides information about the research project “Methods for the Analysis of Longitudinal Dyadic Data, with Applications to Intergenerational Exchanges of Family Support”. The three-year ...

This hands-on workshop will show you how to use Microsoft® Excel for making sense of data. You will enhance your data analysis skills and learn how to interpret Excel output. All basic statistical ...

Visualize and interpret climate anomalies using statistical analysis. Use APIs to import climate data from government portals. Visualize data in Python with matplotlib. In this module, we'll start ...

Hyderabad: A three-day workshop on the “Statistical Package for Social Sciences (SPSS)” commenced on Monday, teaching ...

President Droupadi Murmu on Tuesday said that statistical tools and quantitative techniques play a significant role in ...

A team of researchers from the National Institute of Health Data Science at Peking University and the Department of Clinical Epidemiology and Biostatistics at Peking University People's Hospital ...

Reverse total shoulder arthroplasty is the most cost-effective treatment strategy for proximal humerus fractures in older adults: a cost-utility analysis. Clin Orthop Relat Res 2022; 480: 2013 ...