Results 31 to 40 of about 184,759 (266)

Private Data Imputation

CoRR
Data imputation is an important data preparation task where the data analyst replaces missing or erroneous values to increase the expected accuracy of downstream analyses. The accuracy improvement of data imputation extends to private data analyses across distributed databases.
Abdelkarim Kati, Florian Kerschbaum, Marina Blanton   +2 more
openaire   +2 more sources

Reuse of imputed data in microarray analysis increases imputation efficiency [PDF]

BMC Bioinformatics, 2004
Abstract Background The imputation of missing values is necessary for the efficient use of DNA microarray data, because many clustering algorithms and some statistical analysis require a complete data set.
Ki-Yeol Kim, Byoung-Jin Kim, Gwan-Su Yi
openaire   +4 more sources

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

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

Missing Categorical Data in Sociological Surveys: An Experimental Evaluation of Imputation Techniques

Соціологічні студії
Missing categorical data presents a persistent challenge to data quality in quantitative sociological research, where simpler approaches can lead to biased estimates and incorrect conclusions.
Yaroslav Kostenko, Andrii Gorbachyk
doaj   +1 more source

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

PLoS 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, J Turicchi, C Duarte, J Michalowska, S C Larsen, A L Palmeira, B L Heitmann, G W Horgan, R J Stubbs   +8 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

Multiple imputation: dealing with missing data [PDF]

Nephrology Dialysis Transplantation, 2013
In many fields, including the field of nephrology, missing data are unfortunately an unavoidable problem in clinical/epidemiological research. The most common methods for dealing with missing data are complete case analysis-excluding patients with missing data--mean substitution--replacing missing values of a variable with the average of known values ...
Goeij, M.C.M. de, Diepen, M. van, Jager, K.J., Tripepi, G., Zoccali, C., Dekker, F.W.   +5 more
openaire   +7 more sources

Comparative Evaluation of Hemodiafiltration, Hemoperfusion, and Standard Hemodialysis on Efficacy, Inflammatory Control, Dialysis Adequacy, and Safety in End‐Stage Renal Disease: A Prospective Observational Study

Therapeutic Apheresis and Dialysis, EarlyView.
ABSTRACT Background Chronic micro‐inflammation in patients with end‐stage renal disease (ESRD) is a significant driver of cardiovascular complications and diminished quality of life. While standard hemodialysis (SHD) effectively manages small‐molecule clearance, its ability to remove medium‐to‐large uremic toxins—the primary catalysts of systemic ...
Hongwei Zuo, Weisi Dai, Jie Mao, Mei Ye, Xingshan Lu, Xiaocui Zhang   +5 more
wiley   +1 more source

Effects of Different Missing Data Imputation Techniques on the Performance of Undiagnosed Diabetes Risk Prediction Models in a Mixed-Ancestry Population of South Africa. [PDF]

PLoS ONE, 2015
Imputation techniques used to handle missing data are based on the principle of replacement. It is widely advocated that multiple imputation is superior to other imputation methods, however studies have suggested that simple methods for filling missing ...
Katya L Masconi, Tandi E Matsha, Rajiv T Erasmus, Andre P Kengne   +3 more
doaj   +1 more source