ascopubs.org

A multivariate logistic regression model based on 3T mpMRI, clinical, and biopsy parameters for the prediction of prostate cancer extracapsular extension.

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 ...
Nature

The multivariate shared truncated normal frailty model with application to medical data

A new multivariate shared frailty model based on the truncated normal distribution is proposed. For the basal distribution of failure times, we assume a parametric approach through the Weibull and ...
Investopedia

Understanding Multivariate Models: Forecasting Investment Outcomes

Will Kenton is an expert on the economy and investing laws and regulations. He previously held senior editorial roles at Investopedia and Kapitall Wire and holds a MA in Economics from The New School ...
Nature

Multivariate Count Data Modeling and Applications

Multivariate count data arise in settings where two or more non‐negative integer outcomes are observed jointly. Such data feature prominently in fields as diverse as ecology (species abundances across ...
ascopubs.org

A multivariate logistic model to predict odds of small bowel cancer by various risk factors.

OR: Odds ratio, 95% CI: 95% Confidence interval, HIV: Human Immunodeficiency virus This is an ASCO Meeting Abstract from the 2022 ASCO Annual Meeting I. This abstract does not include a full text ...
Scientific Research Publishing

Unique and Common Effects of Financial Ratios on Financial Risk Estimation ()

Financial Risk, Financial Ratios, Communality Analysis, Unique Effects, Common Effects, Regression Analysis, Finnish Firms ...