Results 51 to 60 of about 318,466 (281)

A novel scaling methodology to reduce the biases associated with missing data from commercial activity monitors.

open access: yesPLoS ONE, 2020
BackgroundCommercial physical activity monitors have wide utility in the assessment of physical activity in research and clinical settings, however, the removal of devices results in missing data and has the potential to bias study conclusions.
R O'Driscoll   +8 more
doaj   +1 more source

Using linear predictors to impute allele frequencies from summary or pooled genotype data

open access: yes, 2010
Recently-developed genotype imputation methods are a powerful tool for detecting untyped genetic variants that affect disease susceptibility in genetic association studies.
Stephens, Matthew, Wen, Xiaoquan
core   +1 more source

Network divergence analysis identifies adaptive gene modules and two orthogonal vulnerability axes in pancreatic cancer

open access: yesMolecular Oncology, EarlyView.
Tumors contain diverse cellular states whose behavior is shaped by context‐dependent gene coordination. By comparing gene–gene relationships across biological contexts, we identify adaptive transcriptional modules that reorganize into distinct vulnerability axes.
Brian Nelson   +9 more
wiley   +1 more source

Optimal method for determining the intraclass correlation coefficients of urinary biomarkers such as dialkylphosphates from imputed data

open access: yesEnvironment International, 2022
Urinary biomarkers are commonly used in epidemiological studies as surrogates or indicators of exposure to chemical substances. Evaluating the reliability of a biomarker is highly important because use of an unreliable marker may lead to ...
Yukiko Nishihama   +3 more
doaj   +1 more source

Long‐Term Follow‐Up of Chemotherapy‐Associated Biological Aging in Women With Early Breast Cancer

open access: yesAging and Cancer, EarlyView.
Women threated with adjuvant chemotherapy for early breast cancer have sustained long‐term increase in p16INK4a,, a robust marker of cell senescence, suggesting a chemotherapy‐associated age acceleration. p16INK4a as well as other biomarkers may identify patients at greatest risk for senescence‐related diseases of aging.
Hyman B. Muss   +12 more
wiley   +1 more source

Transposable regularized covariance models with an application to missing data imputation [PDF]

open access: yes, 2010
Missing data estimation is an important challenge with high-dimensional data arranged in the form of a matrix. Typically this data matrix is transposable, meaning that either the rows, columns or both can be treated as features.
Allen, Genevera I., Tibshirani, Robert
core   +1 more source

Fluid and Neuroimaging Biomarkers in Microgliopathy Colony‐Stimulating Factor‐1 Receptor‐Related Disorders

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective This study aims to identify both fluid and neuroimaging biomarkers for CSF1R‐RD that can inform the optimal timing of treatment administration to maximize therapeutic benefit, while also providing sensitive quantitative measurements to monitor disease progression.
Tomasz Chmiela   +13 more
wiley   +1 more source

Multiple imputation methods for handling missing values in a longitudinal categorical variable with restrictions on transitions over time: a simulation study

open access: yesBMC Medical Research Methodology, 2019
Background Longitudinal categorical variables are sometimes restricted in terms of how individuals transition between categories over time. For example, with a time-dependent measure of smoking categorised as never-smoker, ex-smoker, and current-smoker ...
Anurika Priyanjali De Silva   +4 more
doaj   +1 more source

Fractional Imputation in Survey Sampling: A Comparative Review [PDF]

open access: yes, 2015
Fractional imputation (FI) is a relatively new method of imputation for handling item nonresponse in survey sampling. In FI, several imputed values with their fractional weights are created for each missing item.
Kim, Jae Kwang   +2 more
core   +4 more sources

To Impute or not to Impute? A Review of Alternative Poverty Estimation Methods in the Context of Unavailable Consumption Data [PDF]

open access: yes, 2018
There is an increasingly stronger demand for more frequent and accurate poverty estimates, despite the oftentimes unavailable household consumption data. We offer a review of alternative imputation methods that have been employed to provide poverty estimates in such contexts.
openaire   +3 more sources

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