Results 71 to 80 of about 3,588,558 (310)

Using Quantile Regression for Duration Analysis [PDF]

open access: yes
Quantile regression methods are emerging as a popular technique in econometrics and biometrics for exploring the distribution of duration data. This paper discusses quantile regression for duration analysis allowing for a flexible specification of the ...
Wilke, Ralf A., Fitzenberger, Bernd
core  

Nephrogenic Rests/Nephroblastomatosis in Patients With Unilateral Wilms Tumor Are Not Associated With an Increased Risk of Relapse: An Analysis of Patients Treated on the SIOP‐WT‐2001 Protocol in the SIOP‐UK‐CCLG and SIOP‐GPOH Studies (2001–2022)

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Introduction Nephrogenic rests (NRs) and nephroblastomatosis (NBM) are precursor lesions for development of Wilms tumor (WT). Their association with the risk of relapse has not been properly assessed, partly due to misunderstanding of their diagnostic criteria and terminology.
Gordan M. Vujanić   +5 more
wiley   +1 more source

Improvement of Sickle Cell Disease Care Mitigates the Healthcare Utilization Induced by Increased Prevalence: Experience of a Tertiary Pediatric Center

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Background Sickle cell disease (SCD) has undergone major changes in the last decades. Its prevalence has been steadily increasing and numerous advances have been made in the management of the disease. However, the effect in real‐life setting of these major changes is unknown, particularly in a Canadian environment. Procedure We aimed to assess
Maude Cigna   +16 more
wiley   +1 more source

Least squares estimation of regression coefficients of singular random fields observed on a sphere [PDF]

open access: yes, 2001
We present some results on the rate of convergence to the normal law of the least square estimates of the regression coefficient of random fields with long range dependence observed on a ...
Anh, Vo   +5 more
core   +1 more source

Comparative Evaluation of Hemodiafiltration, Hemoperfusion, and Standard Hemodialysis on Efficacy, Inflammatory Control, Dialysis Adequacy, and Safety in End‐Stage Renal Disease: A Prospective Observational Study

open access: yesTherapeutic Apheresis and Dialysis, EarlyView.
ABSTRACT Background Chronic micro‐inflammation in patients with end‐stage renal disease (ESRD) is a significant driver of cardiovascular complications and diminished quality of life. While standard hemodialysis (SHD) effectively manages small‐molecule clearance, its ability to remove medium‐to‐large uremic toxins—the primary catalysts of systemic ...
Hongwei Zuo   +5 more
wiley   +1 more source

Boosting Ridge Regression [PDF]

open access: yes, 2005
Ridge regression is a well established method to shrink regression parameters towards zero, thereby securing existence of estimates. The present paper investigates several approaches to combining ridge regression with boosting techniques.
Binder, Harald, Tutz, Gerhard
core   +1 more source

Regression without regrets –initial data analysis is a prerequisite for multivariable regression

open access: yesBMC Medical Research Methodology
Statistical regression models are used for predicting outcomes based on the values of some predictor variables or for describing the association of an outcome with predictors.
Georg Heinze   +7 more
doaj   +1 more source

Safety of Daprodustat for the Treatment of Chronic Kidney Disease Anemia: Final Analysis of a Multicenter Postmarketing Surveillance Study in Japan

open access: yesTherapeutic Apheresis and Dialysis, EarlyView.
ABSTRACT Introduction This final analysis of a multicenter, prospective postmarketing surveillance study evaluated the safety of daprodustat in patients with chronic kidney disease anemia in routine clinical practice in Japan. Methods Patients who initiated daprodustat between September 2020 and July 2022 were registered.
Tadao Akizawa   +7 more
wiley   +1 more source

Bayesian Geoadditive Seemingly Unrelated Regression [PDF]

open access: yes, 2002
Parametric seemingly unrelated regression (SUR) models are a common tool for multivariate regression analysis when error variables are reasonably correlated, so that separate univariate analysis may result in inefficient estimates of covariate effects. A
Steiner, Winfried J.   +3 more
core   +1 more source

Regression to the mean in regression discontinuity design: bias and sensitivity analysis

open access: yesJournal of Causal Inference
When making causal inferences from observational data, researchers must consider the effects of confounding. In a regression discontinuity design (RDD), individuals receive a treatment based on whether they score below or above a threshold value measured
Karmakar Bikram
doaj   +1 more source

Home - About - Disclaimer - Privacy