Results 31 to 40 of about 160,067 (256)

Missing-Data Handling Methods for Lifelogs-Based Wellness Index Estimation: Comparative Analysis With Panel Data

JMIR Medical Informatics, 2020
BackgroundA lifelogs-based wellness index (LWI) is a function for calculating wellness scores based on health behavior lifelogs (eg, daily walking steps and sleep times collected via a smartwatch).
Kim, Ki-Hun, Kim, Kwang-Jae
doaj   +1 more source

Psychosocial Functioning After Pediatric Bone Sarcoma: Generic and Survivor‐Specific Outcomes in Adolescent and Young Adult Patients

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Pediatric bone sarcoma patients and survivors may experience psychosocial challenges related to childhood cancer after their intensive, body‐altering treatment. This cross‐sectional study aimed to evaluate generic and survivor‐specific psychosocial outcomes in a national cohort of pediatric bone sarcoma patients and survivors, and ...
Hinke van der Hoek, Heleen Maurice‐Stam, Laura R. Beek, Jennifer van Dijk, Marjolein E. M. Langemeijer, Relinde W. Slooff‐Lentink, Alied M. van der Aa‐van Delden, Anne Westerweel, Marloes van Gorp, Hendrik W. B. Schreuder, Lianne M. Haveman, W. Peter Bekkering, Leonie G. Tigelaar, Johannes H. M. Merks, Martha A. Grootenhuis   +14 more
wiley   +1 more source

Missing Data Approaches in eHealth Research: Simulation Study and a Tutorial for Nonmathematically Inclined Researchers

Journal of Medical Internet Research, 2010
BackgroundMissing data is a common nuisance in eHealth research: it is hard to prevent and may invalidate research findings. ObjectiveIn this paper several statistical approaches to data “missingness” are discussed and tested in a simulation ...
Blankers, Matthijs, Koeter, Maarten W J, Schippers, Gerard M   +2 more
doaj   +1 more source

Association Between Dinutuximab Beta Exposure and Post‐End‐of‐Treatment Survival in Neuroblastoma: A Weighted Patient‐Level Analysis of Three Clinical Studies

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Objectives The association between exposure to dinutuximab beta (DB) and event‐free survival (EFS) or overall survival (OS) of neuroblastoma patients was assessed using data collected during three clinical trials (five cohorts). Methods A systematic review (March 2026) was conducted to identify relevant studies (prospective; registered DB ...
Przemysław Holko, Holger N. Lode, Alberto Garaventa, Carla Manzitti, Roberto Luksch, Dominique Valteau‐Couanet, Marion Gambart, John Anderson, Juliet Gray, Adela Canete, Lucas Moreno, Aleksandra Wieczorek, Cormac Owens, Shifra Ash, Isaac Yaniv, Genevieve Laureys, Hans Loibner, Katarzyna Śladowska, Ruth Ladenstein, Paweł Kawalec   +19 more
wiley   +1 more source

A Comparative Study on Missing Value Imputation Techniques in Machine Learning [PDF]

SHS Web of Conferences
Handling missing values is a crucial step in data preprocessing, as incomplete data can significantly impact model performance and overall data integrity.
Meng Haoyu
doaj   +1 more source

Estimating Average Treatment Effects Utilizing Fractional Imputation when Confounders are Subject to Missingness

Journal of Causal Inference, 2020
The problem of missingness in observational data is ubiquitous. When the confounders are missing at random, multiple imputation is commonly used; however, the method requires congeniality conditions for valid inferences, which may not be satisfied when ...
Corder Nathan, Yang Shu
doaj   +1 more source

SICE: an improved missing data imputation technique

Journal of Big Data, 2020
In data analytics, missing data is a factor that degrades performance. Incorrect imputation of missing values could lead to a wrong prediction. In this era of big data, when a massive volume of data is generated in every second, and utilization of these ...
Shahidul Islam Khan, Abu Sayed Md Latiful Hoque   +1 more
doaj   +1 more source

Multiple imputation of maritime search and rescue data at multiple missing patterns.

PLoS ONE, 2021
Based on the missing situation and actual needs of maritime search and rescue data, multiple imputation methods were used to construct complete data sets under different missing patterns.
Guobo Wang, Minglu Ma, Lili Jiang, Fengyun Chen, Liansheng Xu   +4 more
doaj   +1 more source

Admixture Mapping Reveals Candidate Regions for Methotrexate Neurotoxicity Susceptibility: A Reducing Disparities in Acute Leukemia Consortium Report

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Neurotoxicity is a rare, often dose‐limiting adverse effect of methotrexate (MTX) therapy that disproportionally affects Latino children. Factors contributing to the observed disparity are not well understood. This study leveraged admixture mapping to identify genetic regions associated with MTX‐related neurotoxicity susceptibility ...
Rachel D. Harris, Priya B. Shetty, Olga A. Taylor, Elizabeth G. Atkinson, Melissa A. Richard, M. Monica Gramatges, Mark Zobeck, Sandi Pruitt, Amy Hughes, M. Brooke Bernhardt, Ashley Chavana, Van Huynh, Kathleen Ludwig, Laura Klesse, Kenneth Heym, Timothy Griffin, Rodrigo Erana, Juan Carlos Bernini, Han Chen, Bing Yu, Philip J. Lupo, Karen R. Rabin, Michael E. Scheurer, Austin L. Brown, The REDIAL Consortium   +24 more
wiley   +1 more source

Biplot visualisations of the differences between multiple imputation techniques for simulated categorical data

Discover Data
Proper handling of missing data is a necessity for all data driven research. Multiple imputation is considered as a superior approach to handle missing data.
Johané Nienkemper-Swanepoel
doaj   +1 more source