This short course is intended to provide basic knowledge to graduate students outside the field of statistics to intimate them with the methods and approaches of the classical regression model. Topics ...

A behind-the-scenes blog about research methods at Pew Research Center. For our latest findings, visit pewresearch.org. Many of Pew Research Center’s survey analyses show relationships between two ...

Multiple imputation is a principled approach to account for missing data in analyses where valid results depends on careful construction of the imputation model. The potential for misspecification of ...

This article develops five regression models to estimate pipeline construction component costs for different types of pipelines in different regions. Researchers have long used historical pipeline ...

Regression analysis refers to a method of mathematically sorting out which variables may have an impact. The importance of regression analysis for a small business is that it helps determine which ...

Decision analytic models (DAM) used to evaluate the cost-effectiveness of interventions are pivotal sources of evidence used in the NICE Technology Appraisal (TA) process. It is becoming increasingly ...

All of the predictive methods implemented in PROC PLS work essentially by finding linear combinations of the predictors (factors) to use to predict the responses linearly. The methods differ only in ...