Results 51 to 60 of about 1,318,109 (301)
Statistical Matching using Fractional Imputation
, 2015 Statistical matching is a technique for integrating two or more data sets when information available for matching records for individual participants across data sets is incomplete. Statistical matching can be viewed as a missing data problem where a researcher wants to perform a joint analysis of variables that are never jointly observed.
Kim, Jae Kwang +2 more
openaire +3 more sources
Briefings in Bioinformatics, 2021 Abstract Missing values are common in high-throughput mass spectrometry data. Two strategies are available to address missing values: (i) eliminate or impute the missing values and apply statistical methods that require complete data and (ii) use statistical methods that specifically account for missing values without imputation ...
Sandra Taylor +3 more
openaire +4 more sources
Identifying and correcting for misspecifications in GWAS summary statistics and polygenic scores
HGG Advances, 2022 Summary: Publicly available genome-wide association studies (GWAS) summary statistics exhibit uneven quality, which can impact the validity of follow-up analyses.
Florian Privé +3 more
doaj +1 more source
The HCUP SID Imputation Project: Improving Statistical Inferences for Health Disparities Research by Imputing Missing Race Data [PDF]
Health Services Research, 2017 ObjectiveTo identify the most appropriate imputation method for missing data in the HCUP State Inpatient Databases (SID) and assess the impact of different missing data methods on racial disparities research.Data Sources/Study SettingHCUP SID.Study DesignA novel simulation study compared four imputation methods (random draw, hot deck, joint multiple ...
Yan, Ma +3 more
openaire +2 more sources
Methods library of embedded R functions at Statistics Norway [PDF]
Revista Română de Statistică, 2017 Statistics Norway is modernising the production processes. An important element in this work is a library of functions for statistical computations. In principle, the functions in such a methods library can be programmed in several languages.
Øyvind Langsrud
doaj
Imputation of Gold Recovery Data from Low Grade Gold Ore Using Artificial Neural Network
Minerals, 2023 In a multivariate database, the missing data can be obtained through several imputation techniques, which are particularly useful for data that are difficult to obtain, for any reason, or have high uncertainties or scarce variables.
F. R. Costa, C. Carneiro, C. Ulsen
semanticscholar +1 more source
Statistical Analysis of Noise-Multiplied Data Using Multiple Imputation [PDF]
Journal of Official Statistics, 2013 Abstract A statistical analysis of data that have been multiplied by randomly drawn noise variables in order to protect the confidentiality of individual values has recently drawn some attention. If the distribution generating the noise variables has low to moderate variance, then noisemultiplied data have been shown to yield accurate inferences ...
Martin Klein, Bimal Sinha
openaire +1 more source
Molecular Oncology, EarlyView.We developed a cost‐effective methylation‐specific droplet digital PCR multiplex assay containing tissue‐conserved and tumor‐specific methylation markers. The assay can detect circulating tumor DNA with high accuracy in patients with localized and metastatic colorectal cancer.
Luisa Matos do Canto +8 more
wiley +1 more source
Next‐generation proteomics improves lung cancer risk prediction
Molecular Oncology, EarlyView.This is one of very few studies that used prediagnostic blood samples from participants of two large population‐based cohorts. We identified, evaluated, and validated an innovative protein marker model that outperformed an established risk prediction model and criteria employed by low‐dose computed tomography in lung cancer screening trials.
Megha Bhardwaj +4 more
wiley +1 more source
Flexible Imputation of Missing Data
, 2018 Missingness is a commonly occurring phenomenon in many applications. Determining a suitable analytical approach in the absence of complete observations is a major focus of scientific inquiry due to the extra sophistication that arises through missing ...
H. Demirtas
semanticscholar +1 more source