Results 51 to 60 of about 4,202,897 (320)

Machine Learning for the Relationship of High-Energy Electron Flux between GEO and MEO with Application to Missing Values Imputation for Beidou MEO Data [PDF]

, 2021
Ruifei Cui, Yu Jiang, Chao Tian, Riwei Zhang, Sihui Hu, Jiyun Li   +5 more
openalex   +1 more source

Imputation estimators for unnormalized models with missing data [PDF]

, 2019
Several statistical models are given in the form of unnormalized densities, and calculation of the normalization constant is intractable. We propose estimation methods for such unnormalized models with missing data.
Kim, Jae Kwang, Kim, Jae Kwang, Matsuda, Takeru, Uehara, Masatoshi   +3 more
core   +3 more sources

RT‐PCR–Based Detection of Bone Marrow Involvement in Ewing Sarcoma: Diagnostic Validity and Prognostic Relevance

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background In Ewing sarcoma (EwS), metastases, including those to bone marrow (BM), are the main factors influencing prognosis. Although reverse transcription polymerase chain reaction (RT‐PCR) offers greater sensitivity, the current EWING protocol defines BM metastases solely using light microscopic detection.
Thanh Pham, Andreas Ranft, Victor Rechl, Susanne Jabar, Wolfgang Hartmann, Kim Falkenberg, Heribert Jürgens, Norbert Graf, Torsten Keßler, Markus Metzler, Thomas Klingebiel, Thorsten Simon, Martin Benesch, Uta Dirksen   +13 more
wiley   +1 more source

Safety and Efficacy of Anticoagulation Therapy in Paediatric Patients With Solid Tumours or Lymphomas at Risk of Thrombocytopenia: A Retrospective Study

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Patients with solid tumours or lymphomas have an increased risk of thromboembolism (TE) and thrombocytopenia. Evidence‐based strategies for anticoagulation therapy (ACT) for patients with thrombocytopenia are limited. We examined the impact of thrombocytopenia on ACT administration and bleeding incidence in children with solid ...
Andrés Felipe Fajardo, Katherine Talpin, Bishal Harry, Uma H. Athale, Anthony K. C. Chan, Mihir D. Bhatt   +5 more
wiley   +1 more source

Estimation of missing values in aggregate level spatial data

Clinical Epidemiology and Global Health, 2021
Background: Data can be missing when a survey fails to collect information from certain regions due to feasibility issues, which can impose problems while performing spatial analysis.
Puranik Amitha, V.S. Binu, Biju Seena
doaj   +1 more source

Issues in data collection: missing data and the 2001 New Zealand census [PDF]

, 2001
Missing data plagues all surveys, and to a degree the New Zealand Census suffers from the same malaise. While it is not a high level of missingness, it is present.
Scheffer, Judi
core  

Survival for Children Diagnosed With Wilms Tumour (2012–2022) Registered in the UK and Ireland Improving Population Outcomes for Renal Tumours of Childhood (IMPORT) Study

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background The Improving Population Outcomes for Renal Tumours of childhood (IMPORT) is a prospective clinical observational study capturing detailed demographic and outcome data on children and young people diagnosed with renal tumours in the United Kingdom and the Republic of Ireland.
Naomi Ssenyonga, Angela Lopez‐Cortes, Reem Al‐Saadi, Suzanne Tugnait, Kristina Dzhuma, Catriona Duncan, Gordan Vujanic, Tanzina Chowdhury, Claudia Allemani, Michel P. Coleman, Kathy Pritchard‐Jones, the Children's Cancer and Leukaemia Group (CCLG) Renal Tumour Special Interest Group, Hugh Bishop, Anthony McCarthy, Pamela Kearns, Helen Rees, Amos Burke, Meriel Jenney, Jane Pears, Hamish Wallace, Milind Ronghe, Tanzina Chowdhury, Susan Picton, Emma Ross, Lisa Howell, Bernadette Brennan, Gail Halliday, Richard Grundy, Shaun Wilson, Sucheta Vaidya, Daniel Yeomanson, Jessica Bate, Vesna Pavasovic, Jessica Bate, Sabine Irtan, Jesper Brok, Minou Oostveen, Kristina Dzhuma, Mark Weeks, Richard Williams, Mark Powis, Max Pachl, Bruce Okoye, Naima Smeulders, Gordan Vujanic, Oystein Olsen, Tom Watson, Susan Shelmerdine, Dan Saunders, Angela Lopez-Cortes, Taryn Treger, Tom Jackson, Suzanne Tugnait, Lisa Howell, Tanzina Chowdhury, Sam Behjati, Angela Polanco   +56 more
wiley   +1 more source

MissForest - nonparametric missing value imputation for mixed-type data

, 2011
Modern data acquisition based on high-throughput technology is often facing the problem of missing data. Algorithms commonly used in the analysis of such large-scale data often depend on a complete set.
D. J. Stekhoven, Harley, Kurgan, Latal, LITTLE, Oba, P. Buhlmann, Smit, Troyanskaya, van Buuren, Wille, Wu   +11 more
core   +1 more source

Clinical Correlates of Anxiety and Depression After Diagnosis of a Pediatric Brain Tumor

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background The prevalence and clinical correlates of symptoms of anxiety and depression in pediatric patients with brain tumors are not well described. We aimed to identify clinical characteristics that are correlated with elevated symptoms of anxiety and depression following initial diagnosis.
Bryony J. Lucas, Se‐Kang Kim, Joan Yu, Ana Sofia C. Ibarrola, Heather H. Stancel, Kavyaa Choudry, Mary Elizabeth Moody, Krystal K. Christopher, David R. Grosshans, Arnold C. Paulino, Guillermo Aldave, M. Fatih Okcu, Murali M. Chintagumpala, Austin L. Brown, Michael E. Scheurer, Kimberly P. Raghubar, Lisa S. Kahalley   +16 more
wiley   +1 more source

DEA with Missing Data: An Interval Data Assignment Approach [PDF]

Journal of Optimization in Industrial Engineering, 2015
In the classical data envelopment analysis (DEA) models, inputs and outputs are assumed as known variables, and these models cannot deal with unknown amounts of variables directly. In recent years, there are few researches on handling missing data.
Reza Kazemi Matin, Roza Azizi
doaj