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 ...
JSTOR Daily

A Multivariate Extension of the Dynamic Logit Model for Longitudinal Data Based on a Latent Markov Heterogeneity Structure

For the analysis of multivariate categorical longitudinal data, we propose an extension of the dynamic logit model. The resulting model is based on a marginal parameterization of the conditional ...
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 ...
JSTOR Daily

A Logistic-Exponential Model for Use with Response-Time Data Involving Regressor Variables

A mathematical model utilizing the geometric distribution for analyzing time-to-response data is described. This model takes into account concomitant information by means of a multivariate logistic ...
Kellogg School of Management

Demand Estimation under the Multinomial Logit Model from Sales Transaction Data

Citations: Abdallah, Tarek, Gustavo Vulcano. 2021. Demand Estimation under the Multinomial Logit Model from Sales Transaction Data. Manufacturing and Service Operations Management. (5)1196--1216.
Nature

A multivariate model for ordinal trait analysis

Many economically important characteristics of agricultural crops are measured as ordinal traits. Statistical analysis of the genetic basis of ordinal traits appears to be quite different from regular ...