Results 81 to 90 of about 75,980 (291)

Reduction in Renal Relapse and Preservation of Long‐Term Kidney Function After Lupus Low Disease Activity in Patients With Lupus Nephritis

open access: yesArthritis Care &Research, EarlyView.
Objective Lupus low disease activity state (LLDAS) is a validated treatment target in systemic lupus erythematosus (SLE), but limited studies have explored the role of LLDAS in lupus nephritis (LN). This study aims to investigate the frequency and predictors of LLDAS attainment and its benefit on LN relapse and renal function preservation in patients ...
Chak Kwan Cheung   +6 more
wiley   +1 more source

Quantile calculus and censored regression

open access: yes, 2010
Quantile regression has been advocated in survival analysis to assess evolving covariate effects. However, challenges arise when the censoring time is not always observed and may be covariate-dependent, particularly in the presence of continuously ...
Huang, Yijian
core   +1 more source

Hydroxychloroquine Associated With Lower Glomerular Filtration Rate Decline in Lupus Nephritis

open access: yesArthritis Care &Research, EarlyView.
Objective Hydroxychloroquine (HCQ) protects kidney function in lupus nephritis (LN) by preventing flares, yet some cohort studies show no significant benefit in kidney function with HCQ. Clarifying these conflicting findings by showing early and long‐term benefits of HCQ on kidney function preservation is critical.
Shivani Garg   +9 more
wiley   +1 more source

Statistical Estimation for the Weibull Distribution Under Progressive Type-I Interval Censoring with Part-Time Operator

open access: yesCumhuriyet Science Journal, 2018
In this study, a new life testing method called “progressive type-Iinterval censoring with part time operator” is introduced. We obtained themaximum likelihood estimators for parameters of Weibull distribution.
Yener Ünal, Muhammet Bekçi
doaj   +1 more source

A Quantile Variant of the EM Algorithm and Its Applications to Parameter Estimation with Interval Data

open access: yes, 2018
The expectation-maximization (EM) algorithm is a powerful computational technique for finding the maximum likelihood estimates for parametric models when the data are not fully observed.
Chanseok Park   +8 more
core   +1 more source

Long‐Term Opioids in Gout: A Matched Cohort Study From the Veterans Health Administration

open access: yesArthritis Care &Research, EarlyView.
Objective Though used frequently to treat flare, risk of long‐term opioid exposure in gout has not been well defined. In this study, we examined the hypothesis that people with gout are more likely than individuals without gout to be prescribed long‐term opioids over time.
Lindsay N. Helget   +7 more
wiley   +1 more source

Informative Censoring in CDK4/6 Inhibitor Adjuvant Therapy for Early Breast Cancer: A Sensitivity Analysis of Invasive Disease-Free Survival in the monarchE Trial

open access: yesEpidemiology, Biostatistics and Public Health
INTRODUCTION The estimation of survival curves and hazard functions relies on the assumption of non-informative censoring—that is, the censoring time for an individual provides no further information about that person’s likelihood of survival at a ...
Federico Merlo   +2 more
doaj   +1 more source

Cost‐Effectiveness of Low‐Dose Colchicine Prophylaxis When Starting Allopurinol Using the “Start‐Low Go‐Slow” Approach for Gout: Evidence From a Noninferiority Randomized Double‐Blind Placebo‐Controlled Trial

open access: yesArthritis Care &Research, EarlyView.
Objective The aim of this study was to investigate the cost‐effectiveness of low‐dose colchicine prophylaxis for preventing gout flares when starting allopurinol using the “start‐low go‐slow” approach. Methods Participants with gout, fulfilling the American College of Rheumatology recommendations for starting urate‐lowering therapy and with serum urate
Yana Pryymachenko   +4 more
wiley   +1 more source

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

open access: yesIEEE 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   +3 more
doaj   +1 more source

icenReg: Regression Models for Interval Censored Data in R

open access: yesJournal of Statistical Software, 2017
The non-parametric maximum likelihood estimator and semi-parametric regression models are fundamental estimators for interval censored data, along with standard fullyparametric regression models.
Clifford Anderson-Bergman
doaj   +1 more source

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