Results 211 to 220 of about 290,361 (291)

Handling missing data of using the XGBoost-based multiple imputation by chained equations regression method. [PDF]

Front Artif Intell
Jinbo Z, Yufu L, Haitao M.
europepmc   +1 more source

Individualized Treatment in Distal and Medium Vessel Occlusion Stroke Using a Validated Explainable Counterfactual Treatment Estimation Model

Annals of Neurology, EarlyView.
Objective The optimal treatment for distal medium vessel occlusion (DMVO) stroke remains uncertain, and evidence comparing endovascular therapy (EVT) with medical management (MM) is limited. We aimed to develop and validate a predictive modeling tool to assess individual treatment benefit in DMVO stroke using explainable counterfactual treatment ...
Mohamed F. Doheim, Mahmoud H. Mohammaden, Hend Abdelhamid, Marta Olive‐Gadea, Marc Rodrigo‐Gisbert, Manuel Requena, Johanna T. Fifi, James E. Siegler, Santiago Ortega‐Gutierrez, Mohamad Abdalkader, Ali Alaraj, Wei Hu, Thanh N. Nguyen, Diogo C. Haussen, Raul G. Nogueira   +14 more
wiley   +1 more source

Multiple imputation with competing risk outcomes. [PDF]

Comput Stat
Austin PC.
europepmc   +1 more source

Blood Lactate as a Prognostic Biomarker for Survival and Weight Loss in Amyotrophic Lateral Sclerosis: An Exploratory–Validation Study

Annals of Neurology, EarlyView.
Objective Lactate is increasingly recognized as an energy substrate, but its relevance to amyotrophic lateral sclerosis (ALS) remains unclear. We examined whether blood lactate is associated with survival and weight loss in ALS. Methods This retrospective study included an Australian exploratory cohort and a Japanese validation cohort with clinical ...
Ryutaro Nakamura, Frederik J. Steyn, Shuhei Kobashi, Nobuhiro Ogawa, Akihiro Kitamura, Isamu Yamakawa, Robert D. Henderson, Shyuan T. Ngo, Makoto Urushitani   +8 more
wiley   +1 more source

Machine-Learning Models With Multiple Imputation With Sequential Nearest Neighbors Imputation for Predicting the Prognosis of Idiopathic Sudden Sensorineural Hearing Loss Patients. [PDF]

Ear Hear
Jin Y, Li M, Li M, Fan H, Gong H, Chen W, Zhang M, Yu Y, Luo W, Zhang X.   +9 more
europepmc   +1 more source

Temporal Modeling of Amyloid and Tau Trajectories in Alzheimer's Disease Using PET and Plasma Biomarkers

Annals of Neurology, EarlyView.
Objective This study aimed to compare positron emission tomography (PET) and plasma‐based temporal modeling of amyloid and tau biomarkers in Alzheimer's disease. Methods Longitudinal amyloid PET (n = 1,097, mean age ± SD = 72.5 ± 7.38 year, 51.4% male), 18F‐flortaucipir tau‐PET (n = 230, 74.3 ± 7.18 year, 52.2% female), and Fujirebio Lumipulse plasma p‐
Christopher A. Brown, Katheryn A.Q. Cousins, Magdalena Korecka, Emily McGrew, Alice Chen‐Plotkin, John A. Detre, Corey T. McMillan, Edward B. Lee, Sandhitsu R. Das, Dawn Mechanic‐Hamilton, Paul A. Yushkevich, Ilya M. Nasrallah, Leslie M. Shaw, for the Alzheimer's Disease Neuroimaging Initiative, David A. Wolk   +14 more
wiley   +1 more source

Incorporating Multiple Imputation Into Tanezumab Dose-Response Modeling of WOMAC Pain CFB Across Six Randomized Placebo-Controlled Phase 3 Trials. [PDF]

CPT Pharmacometrics Syst Pharmacol
Boucher M, Marshall S, Gaitonde P.
europepmc   +1 more source

The Dynamics of Neurofilament Light Chain in Spinal Muscular Atrophy

Annals of Neurology, EarlyView.
Objective Newborn screening (NBS) for spinal muscular atrophy (SMA) facilitates early diagnosis and treatment for affected individuals. However, fluid biomarkers that provide early insights into disease activity and outcomes in a neonatal cohort and those unable to access (due to reimbursement criteria) or deferring immediate treatment are lacking ...
Arlene D'Silva, Karen Herbert, Lakshmi Balaji, Jia Mei He, Tejaswi Kandula, Hugo A. Sampaio, Hooi‐Ling Teoh, Esther Tantsis, Jihee Sohn, Nancy Briggs, Nickson Ning, Matthew C. Kiernan, Didu S. Kariyawasam, Michelle A. Farrar   +13 more
wiley   +1 more source

Should regression calibration or multiple imputation be used when calibrating different devices in a longitudinal study? [PDF]

Am J Epidemiol
Loop MS, Lotspeich SC, Garcia TP, Meyer ML.   +3 more
europepmc   +1 more source

Genomic Structural Variations Provide Insights Into Litter Size and Teat Number Traits in Hu Sheep

Animal Research and One Health, EarlyView.
Here, we conducted whole genome sequencing on 300 Hu sheep with an average depth of 16.51X. Two candidate genes associated with litter size and teat number traits were identified, namely MAST2 and AFDN. ABSTRACT Litter size and the teat number are important economic indicators in sheep production.
Xin Xiang, Wei Dai, Jiqiang Liu, Zhengguang Wang   +3 more
wiley   +1 more source