Results 101 to 110 of about 306,812 (282)

Milestone Attainment in Young Children With Arthrogryposis Multiplex Congenita: Developmental Profile and Associated Factors

American Journal of Medical Genetics Part C: Seminars in Medical Genetics, EarlyView.
ABSTRACT Evidence on developmental milestones in children with arthrogryposis multiplex congenita (AMC) under the age of five is scarce. This multisite cross‐sectional study described developmental status and examined factors associated with milestone attainment in 143 children aged 0–66 months from a pediatric AMC Registry.
Ahlam Zidan, Sophia C. Pasia, Emmanouil Rampakakis, Reggie Hamdy, Frank Rauch, Lauren C. Hyer, Joel Lerman, Haluk Altiok, Krister Freese, Cary Mielke, Sarah B. Nossov, Philip F. Giampietro, Thania Ordaz‐Robles, Noémi Dahan‐Oliel   +13 more
wiley   +1 more source

Machine learning of large‐scale spatial distributions of wild turkeys with high‐dimensional environmental data

Ecology and Evolution, 2019
Species distribution modeling often involves high‐dimensional environmental data. Large amounts of data and multicollinearity among covariates impose challenges to statistical models in variable selection for reliable inferences of the effects of ...
Annie Farrell, Guiming Wang, Scott A. Rush, James A. Martin, Jerrold L. Belant, Adam B. Butler, Dave Godwin   +6 more
doaj   +1 more source

MULTICOLLINEARITY IN REGRESSION WITH QUADRATIC REGRESSORS [PDF]

Research Methods/ Statistical Methods,
Griffiths, William E.
core   +1 more source

Measuring Child Disadvantage: Comparing Multidimensional and Socioeconomic Approaches for Predicting Developmental Outcomes

Australian Journal of Social Issues, EarlyView.
ABSTRACT Robust measurement of disadvantage is essential to identifying and addressing inequities in children's development. We tested how a multidimensional framework of child disadvantage performed relative to a traditional socioeconomic position (SEP) approach to predict developmental outcomes.
Wei Hong, Fiona Mensah, Elodie O'Connor, Shuaijun Guo, Sharon Goldfeld, Meredith O'Connor, Cindy Pham, Sarah Gray   +7 more
wiley   +1 more source

On the Identification of Time Varying Structures [PDF]

The identifiability of reduced form econometric models with variable coefficients is investigated using the control theoretic concepts of uniform complete observability and uniform complete controllability.
Kent D. Wall, Thomas F. Cooley
core  

Using Linear Regression to Analyze Economics Content Mastery and Learner’s Autonomy Towards English Writing Competence [PDF]

, 2019
English is used widely in education area. It is also used in higher education. Many universities put English in the curriculum. In industrial revolution 4.0., English has an important role.
Ratnaningsih, Paskalina Widiastuti
core  

Anatomic Diagram as a Novel Assessment Strategy for Subclinical Local Residual Disease in Sinonasal Squamous Cell Carcinoma and Intestinal‐type Adenocarcinoma

International Forum of Allergy &Rhinology, EarlyView.
ABSTRACT Objective In the last two decades, transnasal endoscopic surgery (TES) has become pivotal in the management of sinonasal tumors. This approach involves a multiblock tumor resection, adding complexity to the interpretation of surgical margins after pathological examination.
Piergiorgio Gaudioso, Leonardo Calvanese, Stefano Taboni, Giacomo Contro, Diego Cazzador, Tommaso Saccardo, Gloria Schiavo, Vittorio Rampinelli, Alberto Schreiber, Gabriele Testa, Cesare Piazza, Enzo Emanuelli, Davide Mattavelli, Piero Nicolai, Marco Ferrari   +14 more
wiley   +1 more source

New robust ridge-type estimators for beta regression under multicollinearity and outliers with application to breast cancer data

Applied Mathematics in Science and Engineering
The beta regression model (BRM) is a widely applied modeling approach for data bounded within the open interval (0, 1), and it is extensively used in fields such as chemistry, environmental science, medicine, and biology.
Ali T. Hammad, I. Elbatal, Ohud A. Alqasem, Ehab M. Almetwally, Amin M. A. Haleeb, Abdirashid M. Yousuf, M. M. Abd El-Raouf, Ahmed M. Gemeay   +7 more
doaj   +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

Robust Kibria Estimators for Mitigating Multicollinearity and Outliers in a Linear Regression Model

Stats
In the presence of multicollinearity, the ordinary least squares (OLS) estimators, aside from BLUE (best linear unbiased estimator), lose efficiency and fail to achieve minimum variance.
Hina Naz, Ismail Shah, Danish Wasim, Sajid Ali   +3 more
doaj   +1 more source