Impact of 68Ga-PSMA-11 PET/CT on staging and management of prostate cancer patients in various clinical settings. This is an ASCO Meeting Abstract from the 2020 Genitourinary Cancers Symposium. This ...

Logistic regression is a powerful statistical method that is used to model the probability that a set of explanatory (independent or predictor) variables predict data in an outcome (dependent or ...

Single nucleotide polymorphism (SNP) interaction plays a critical role for complex diseases. The primary limitation of logistic regressions (LR) in testing SNP–SNP interactions is that coefficient ...

Understanding the mechanics of adaptive evolution requires not only knowing the quantitative genetic bases of the traits of interest but also obtaining accurate measures of the strengths and modes of ...

This paper describes a method for a model-based analysis of clinical safety data called multivariate Bayesian logistic regression (MBLR). Parallel logistic regression models are fit to a set of ...

To examine the relationship between panic attack and suicide risk, we analyzed data from a representative epidemiological survey of 43,093 adults (NESARC) using logistic regression controlling for ...

Objectives Glaucoma is an optic neuropathy caused by the gradual degeneration of retinal ganglion cells. This study aimed to investigate the knowledge, attitude and practice (KAP) towards glaucoma ...

Background We investigated the prevalence, temporal trends and associated factors of overweight and obesity among adults in ...