Results 81 to 90 of about 100,255 (311)

ICBoost: An XGBoost-Based Unbiased Transformed Algorithm for Survival Regression

IEEE Access
Prediction models for disease onset are critical in biomedical research and survival analysis. With machine learning methods increasingly being used to handle survival data with censoring, unbiased transformation theory offers an alternative method for ...
Jingyi Zhang, Shishun Zhao, Yang Xu, Tao Hu   +3 more
doaj   +1 more source

Right-censored models on massive data

Computational Statistics
This article considers the automatic selection problem of the relevant explanatory variables in a right-censored model on a massive database. We propose and study four aggregated censored adaptive LASSO estimators constructed by dividing the observations in such a way as to keep the consistency of the estimator of the survival curve. We show that these
openaire   +2 more sources

Clinical, Histologic, and Serological Predictors of Renal Function Loss in Lupus Nephritis

Arthritis Care &Research, EarlyView.
Objective Kidney survival is the ultimate goal in lupus nephritis (LN) management, but long‐term predictors remain inadequately studied, requiring long‐term follow‐up. This study aimed to identify baseline and early longitudinal predictors of kidney survival in the Accelerating Medicines Partnership LN longitudinal cohort.
Shangzhu Zhang, Laurence Magder, Daniel Goldman, Judith A. James, Joel M. Guthridge, Carla Guthridge, Peter Izmirly, Jill P. Buyon, H. Michael Belmont, Richard A. Furie, Noa Schwartz, Chaim Putterman, Jennifer L. Barnas, Jennifer H. Anolik, Sarah French, Maria Dall'Era, Avi Z. Rosenberg, Jeffrey Hodgin, Dawit S. Demeke, the Accelerating Medicines Partnership Rheumatoid Arthritis and Systemic Lupus Erythematosus (RA/SLE) Network, Michelle Petri, Andrea Fava   +21 more
wiley   +1 more source

Measuring Inequality Using Censored Data: A Multiple Imputation Approach [PDF]

To measure income inequality with right censored (topcoded) data, we propose multiple imputation for censored observations using draws from Generalized Beta of the Second Kind distributions to provide partially synthetic datasets analyzed using complete ...
Shuaizhang Feng, Richard V. Burkhauser, Jeff Larrimore, Stephen P. Jenkins   +3 more
core   +4 more sources

Testing Goodness-of-Fit of Parametric Models for Censored Data

, 2011
A goodness-of-fit test for left-, right- and interval-censored data, assuming random censorship is proposed and studied. In the first step of the test, the null model is extended to a series of nested alternative models for censored data as in Zhang and ...
NYSEN, Ruth, FAES, Christel, AERTS, Marc
core   +1 more source

Estimating panel data duration models with censored data

, 2005
This paper presents a method for estimating a class of panel data duration models, under which an unknown transformation of the duration variable is linearly related to the observed explanatory variables and the unobserved heterogeneity (or frailty ...
Lee, S.
core  

Distinct Systemic Sclerosis Phenotypes Related to Ethnicity: An Opportunity to Personalize Care?

Arthritis Care &Research, EarlyView.
Objective The objective is to describe and compare demographic, clinical, and serological characteristics of patients with systemic sclerosis (SSc) according to ethnic background. Methods Participants enrolled in the Canadian Scleroderma Research Group cohort who self‐identified to a single ethnicity group were included.
Danick Goulet, Camille Guertin, Maggie Larché, Isabelle Ferdinand, Marie Hudson, May Y. Choi, Mohammed Osman, Janet Pope, Carter Thorne, Murray Baron, Sasha Bernatsky, Sabrina Hoa   +11 more
wiley   +1 more source

Semiparametric Transformation Models with a Change Point for Interval-Censored Failure Time Data

Mathematics
Change point models are widely used in medical and epidemiological studies to capture the threshold effects of continuous covariates on health outcomes.
Junyao Ren, Shishun Zhao, Dianliang Deng, Tianshu You, Hui Huang   +4 more
doaj   +1 more source

Predictive Capacity of Risk Models in Liver Transplantation

Transplantation Direct, 2019
Background. Several risk models to predict outcome after liver transplantation (LT) have been developed in the last decade. This study compares the predictive performance of 7 risk models. Methods.
Jacob D. de Boer, MD, Hein Putter, PhD, Joris J. Blok, MD, PhD, Ian P.J. Alwayn, MD, PhD, Bart van Hoek, MD, PhD, Andries E. Braat, MD, PhD   +5 more
doaj   +1 more source

Regional Differences in Food Consumption in Urban Mozambique: A Censored Demand System Approach [PDF]

A nationwide household survey for Mozambique is used to estimate a large censored food demand system with 12 food groups for the sample of urban households.
Mikkel Barslund
core