Understanding Multivariate Models: Forecasting Investment Outcomes

Discover how multivariate models use multiple variables for investment forecasting, risk analysis, and decision-making in ...
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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 ...
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Nomogram based on multivariable regression model estimates the overall survival of patients with nivolumab who were previously treated for advanced non-small cell lung cancer.

Overcoming acquired osimertinib-resistance in EGFR-mutant advanced non-small lung cancer mediated by activating BRAF V600E mutation. This is an ASCO Meeting Abstract from the 2019 ASCO Annual Meeting ...
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Bivariate Location-Scale Models for Regression Analysis, with Applications to Lifetime Data

Journal of the Royal Statistical Society. Series B (Statistical Methodology), Vol. 67, No. 1 (2005), pp. 63-78 (16 pages) The literature on multivariate linear regression includes multivariate normal ...
JSTOR Daily

Regression on Hazard Ratios and Cross Ratios in Multivariate Failure Time Analysis

Cox model marginal survivor function and pairwise correlation models are specified for a multivariate failure time vector. The corresponding mean and covariance structure for the cumulative baseline ...