Results 41 to 50 of about 3,187,887 (293)

Developmental Disorders in Children Recently Diagnosed With Cancer

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Neurocognitive deficits in adult survivors of childhood cancer are well established, but less is known about developmental disorders (DD) arising shortly after cancer diagnosis. Using 2016–2019 linked Ohio cancer registry and Medicaid data, we compared DD among 324 children with cancer and 606,913 cancer‐free controls.
Jamie Shoag   +5 more
wiley   +1 more source

Contrasting Classical and Machine Learning Approaches in the Estimation of Value-Added Scores in Large-Scale Educational Data

open access: yesFrontiers in Psychology, 2020
There is no consensus on which statistical model estimates school value-added (VA) most accurately. To date, the two most common statistical models used for the calculation of VA scores are two classical methods: linear regression and multilevel models ...
Jessica Levy   +5 more
doaj   +1 more source

A Comparative Study of Cerebral Oxygenation During Exercise in Hemodialysis and Peritoneal Dialysis Patients

open access: yesTherapeutic Apheresis and Dialysis, EarlyView.
ABSTRACT Introduction Cognitive impairment and exercise intolerance are common in dialysis patients. Cerebral perfusion and oxygenation play a major role in both cognitive function and exercise execution; HD session per se aggravates cerebral ischemia in this population. This study aimed to compare cerebral oxygenation and perfusion at rest and in mild
Marieta P. Theodorakopoulou   +10 more
wiley   +1 more source

ADRUK Ingest Improvement Task and Finish Group: Smoothing the ingest of data

open access: yesInternational Journal of Population Data Science
Objectives Analysts ingest data to TREs for research; extract, process and curate public sector data then made accessible to researchers in safe environments. Although differences surround each dataset, the processes can be made broadly replicable.
Jen Bishop   +14 more
doaj   +1 more source

Measures of Violence within the United Kingdom Household Longitudinal Survey and the Crime Survey for England and Wales: An Empirical Assessment

open access: yesSocial Sciences, 2023
Criminology has been hampered by a lack of longitudinal data to examine the consequences of victimisation. However, recently, ‘Understanding Society’, the United Kingdom Household Panel Survey (UKHLS), began fielding a small battery of questions relating
Niels Blom, Vanessa Gash
doaj   +1 more source

Inhibiting stearoyl‐CoA desaturase suppresses bone metastatic prostate cancer by modulating cellular stress, mTOR signaling, and DNA damage response

open access: yesFEBS Letters, EarlyView.
Bone metastasis in prostate cancer (PCa) patients is a clinical hurdle due to the poor understanding of the supportive bone microenvironment. Here, we identify stearoyl‐CoA desaturase (SCD) as a tumor‐promoting enzyme and potential therapeutic target in bone metastatic PCa.
Alexis Wilson   +7 more
wiley   +1 more source

Using natural language processing to facilitate the harmonisation of mental health questionnaires: a validation study using real-world data

open access: yesBMC Psychiatry
Background Pooling data from different sources will advance mental health research by providing larger sample sizes and allowing cross-study comparisons; however, the heterogeneity in how variables are measured across studies poses a challenge to this ...
Eoin McElroy   +7 more
doaj   +1 more source

追蹤資料分析中隨時間變動解釋變項平減之研究 Centering on the Time-Varying Independent Variables in Longitudinal Data Analysis

open access: yesJournal of Research in Education Sciences, 2015
利用多層次模式或是階層線性模式進行重複觀測資料的分析,如果個體層次解釋變項包含隨時間變動解釋變項時,在個體層次方程式對它不平減或是總平減所獲得的迴歸係數是一個偏誤的結果,因為這個隨時間變動的解釋變項具有追蹤與橫斷面的資料特性,對個體層次結果變項的影響可以拆解為互斥的組間迴歸係數與組內迴歸係數,因此,必須利用組平減並將組平均數置回截距項方程式方能獲得正確的估計結果。但在不平減、總平減與組平減三種方法下都加上組平均數置回截距項方程式,在隨機截距模型下則會獲得等價的估計結果 ...
溫福星 Fur-Hsing Wen
doaj   +1 more source

Understanding the impact of fertility history on health outcomes in later life.

open access: yesInternational Journal of Population Data Science, 2022
Objectives Aims of this research, involving data linkage and health outcomes, is to gain a full understanding of the impact of both fertility histories and childlessness on health outcomes mid-life accounting for socio-economic background and area of ...
Lee Williamson, Chris Dibben
doaj   +1 more source

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