True-Value Regression with Non-Response

Binary Regression With a Misclassified Response Variable in Diabetes Data

Objectives: The categorical data analysis is very important in statistics and medical sciences. When the binary response variable is misclassified, the results of fitting the model will be biased in estimating adjusted odds ratios.  The present study aimed to use a method to detect and correct misclassification error in the response variable of Type 2 Diabetes Mellitus (T2DM), applying binary ...

Clinical Value of True 3D Breast Tomosynthesis

Value judgments and the true self.

The belief that individuals have a "true self" plays an important role in many areas of psychology as well as everyday life. The present studies demonstrate that people have a general tendency to conclude that the true self is fundamentally good--that is, that deep inside every individual, there is something motivating him or her to behave in ways that are virtuous. Study 1 finds that observers...

Seismic Response of Building Structures with Sliding Non-structural Elements

Interaction between a structure under base excitation and heavy non-structural elements that it supports is significant in the seismic analysis and design of the structure. Heavy non-structural elements may slide/rock under base excitation, and this dynamic action affects the seismic behavior of the supporting structure. Hence, in this study, a numerical model was presented to describe the seis...

Missing-value estimation using linear and non-linear regression with Bayesian gene selection

MOTIVATION Data from microarray experiments are usually in the form of large matrices of expression levels of genes under different experimental conditions. Owing to various reasons, there are frequently missing values. Estimating these missing values is important because they affect downstream analysis, such as clustering, classification and network design. Several methods of missing-value est...