Results 91 to 100 of about 318,466 (281)

Optimal Imputation Methods under Stratified Ranked Set Sampling

open access: yesRevstat Statistical Journal
It is long familiar that the stratified ranked set sampling (SRSS) is more efficient than ranked set sampling (RSS) and stratified random sampling (StRS). The existence of missing values alter the final inference of any study.
Shashi Bhushan , Anoop Kumar
doaj   +1 more source

Balanced $k$-nearest neighbor imputation

open access: yes, 2015
In order to overcome the problem of item nonresponse, random imputation methods are often used because they tend to preserve the distribution of the imputed variable.
Hasler, Caren, Tillé, Yves
core   +1 more source

Sarilumab in Polyarticular‐Course Juvenile Idiopathic Arthritis: Dose‐Finding and 1‐Year Analysis of a Phase 2b, Open‐Label, Multicenter Study

open access: yesArthritis Care &Research, EarlyView.
Objective This study assessed sarilumab in treating patients with polyarticular‐course juvenile idiopathic arthritis (pcJIA). Methods This phase 2b, open‐label study (NCT02776735) consisted of three sequential parts (each with a core‐treatment and extension phase).
Fabrizio De Benedetti   +19 more
wiley   +1 more source

Validation of a Genetic Risk Score Combined With Clinical Variables for Predicting Pulmonary Fibrosis in Early Rheumatoid Arthritis

open access: yesArthritis Care &Research, EarlyView.
Objective Pulmonary fibrosis (PF) is a severe extra‐articular manifestation of rheumatoid arthritis (RA). This study aimed to externally validate a genetic risk score (GRS) and a combined risk score (CRS) for predicting the risk of RA‐associated PF in an independent cohort of patients with early RA.
Mikael Brink   +3 more
wiley   +1 more source

A Comparison of Price Imputation Methods under Large Samples and Different Levels of Censoring. [PDF]

open access: yes
Consumer/Household Economics, Demand and Price Analysis, Research Methods/ Statistical Methods, imputation methods, multiple imputation, censored prices, protein demand, elasticities,
Lopez, Jose Antonio
core   +1 more source

Improved Mean Methods of Imputation

open access: yesStatistics, Optimization & Information Computing, 2018
Replacing missing values of a variable with the mean of the non-missing values is a simple and natural way to impute values fortunately in the case where data is missing completely at random. Following a short review of this method we consider thus possible improvements, are called the shrinkage method, a second called the weighted interval method, and
Choukri Mohamed   +2 more
openaire   +2 more sources

Sex Differences in Medication Discontinuation in Axial Spondyloarthritis

open access: yesArthritis Care &Research, EarlyView.
Objective We examined sex differences in medication discontinuation among patients with axial spondyloarthritis (axSpA) initiating tumor necrosis factor inhibitors (TNFi), interleukin‐17 inhibitors (IL‐17i), or JAK inhibitors (JAKi). Methods Using data from the Rheumatology Informatics System for Effectiveness (RISE) Registry (2003–2025), we assessed ...
Rachael Stovall   +9 more
wiley   +1 more source

Improving the performance of Bayesian networks in non-ignorable missing data imputation

open access: yesKuwait Journal of Science, 2013
The issue of missing data may arise for researchers who deal with data gathering problems. Bayesian networks are one of the proposed methods that have been recently used in missing data imputation.
P. NILOOFAR   +2 more
doaj  

Application of Multiple imputation in Analysis of missing data in a study of Health-related quality of life [PDF]

open access: yes, 2011
When a new treatment has similar efficacy compared to standard therapy in medical or social studies, the health-related quality of life (HRQL) becomes the main concern of health care professionals and can be the basis for making a decision in patient ...
Zhu, Chunming
core   +1 more source

Resampling methods with multiply imputed data

open access: yesBiometrika
Abstract Resampling techniques have become increasingly popular for estimation of uncertainty. However, data are often fraught with missing values that are commonly imputed to facilitate analysis. This article addresses the issue of using resampling methods such as a jackknife or bootstrap in conjunction with imputations that have ...
Michael W Robbins, Lane Burgette
openaire   +3 more sources

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