Results 241 to 250 of about 313,820 (280)

Individualized Treatment in Distal and Medium Vessel Occlusion Stroke Using a Validated Explainable Counterfactual Treatment Estimation Model

Annals of Neurology, EarlyView.
Objective The optimal treatment for distal medium vessel occlusion (DMVO) stroke remains uncertain, and evidence comparing endovascular therapy (EVT) with medical management (MM) is limited. We aimed to develop and validate a predictive modeling tool to assess individual treatment benefit in DMVO stroke using explainable counterfactual treatment ...
Mohamed F. Doheim, Mahmoud H. Mohammaden, Hend Abdelhamid, Marta Olive‐Gadea, Marc Rodrigo‐Gisbert, Manuel Requena, Johanna T. Fifi, James E. Siegler, Santiago Ortega‐Gutierrez, Mohamad Abdalkader, Ali Alaraj, Wei Hu, Thanh N. Nguyen, Diogo C. Haussen, Raul G. Nogueira   +14 more
wiley   +1 more source

The Age at Onset of LRRK2 p.Gly2019Ser Parkinson's Disease Across Ancestries and Countries of Origin

Annals of Neurology, EarlyView.
Objectives The objective of this study was to elucidate differences in the cumulative incidence of Leucine‐rich repeat kinase 2 (LRRK2) p.Gly2019Ser‐related Parkinson's disease (PD; LRRK2‐PD) between ancestries and countries. Methods We included 922 unrelated p.Gly2019Ser variant carriers (affected = 762 and unaffected = 160) from the Global Parkinson ...
Theresa Lüth, Björn‐Hergen Laabs, Sebastian Sendel, Inke R. König, Amke Caliebe, Alastair J. Noyce, Laurel A. Screven, Soraya Bardien, Matthew Farrer, Faycel Hentati, Rim Amouri, Christine Klein, Samia Ben Sassi, Joanne Trinh, Global Parkinson's Genetics Program (GP2)   +14 more
wiley   +1 more source

Imputation methods satisfying constraints

, 2017
openaire   +1 more source

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Imputation methods for incomplete data

2015 International Conference on Innovations in Information, Embedded and Communication Systems (ICIIECS), 2015
Although sometimes encounter data sets that contain one or more missing feature values (incomplete data). Many existing industrial and research data sets contain missing values due to various reasons, such as manual data entry procedures, equipment errors and incorrect measurements.
Vaishali H. Umathe, Gauri Chaudhary
openaire   +1 more source

Bootstrap methods for imputed data from regression, ratio and hot‐deck imputation

Canadian Journal of Statistics, 2014
AbstractItem non‐response in sample surveys is usually addressed by imputation. A bootstrap method that treats the imputed values as if they were observed generally leads to variance estimates that are too small. Shao & Sitter (1996) introduced a bootstrap method in this context, which leads to consistent variance estimators when the sampling ...
Mashreghi, Zeinab, Léger, Christian, Haziza, David   +2 more
openaire   +2 more sources

Some efficient random imputation methods

Communications in Statistics - Theory and Methods, 1984
Imputation methods that assign a selection of respondents’ values for missing i tern nonresponses give rise to an addd,tional source of sampling variation, which we term imputation varLance , We examine the effect of imputation variance on the precision of the mean, and propose four procedures for sampling the rEespondents that reduce this additional ...
Graham Kalton, Leslie Kish
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Comparative study of different imputation methods

Communications in Statistics - Simulation and Computation, 2021
An improved class of imputation procedures are proposed for estimating the finite population mean by using the known population mean and higher order moments of the auxiliary variable.
Muhammad Umair Sohail, Fariha Sohil, Javid Shabbir   +2 more
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Multiple imputation using nearest neighbor methods

Information Sciences, 2021
Abstract Missing values are a major problem in medical research. As the complete case analysis discards useful information, estimation and inference may suffer strongly. Multiple imputation has been shown to be a useful strategy to handle missing data problems and account for the uncertainty of imputation. In the presence of high-dimensional data (
Shahla Faisal, Gerhard Tutz
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A new method for estimating variance from data imputed with ratio method of imputation

Statistics & Probability Letters, 2006
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Arnab, Raghunath, Singh, Sarjinder
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Alternative Methods for CPS Income Imputation

Journal of the American Statistical Association, 1986
Abstract The U.S. Bureau of the Census imputes missing income items in the income supplement of the Current Population Survey (CPS) by a technique commonly known as the CPS hot deck. This article compares CPS hot deck imputations of wages and salary amounts with alternatives based on regression models for the logarithm of wages and salary and for the ...
Martin David, Roderick J. A. Little, Michael E. Samuhel, Robert K. Triest   +3 more
openaire   +1 more source