Results 61 to 70 of about 846,250 (270)

Likelihood-Based Sufficient Dimension Reduction

Journal of the American Statistical Association, 2009
We obtain the maximum likelihood estimator of the central subspace under conditional normality of the predictors given the response. Analytically and in simulations we found that our new estimator can preform much better than sliced inverse regression, sliced average variance estimation and directional regression, and that it seems quite robust to ...
Cook, R. Dennis, Forzani, Liliana
openaire   +4 more sources

Sufficient dimension reduction based on an ensemble of minimum average variance estimators

, 2012
We introduce a class of dimension reduction estimators based on an ensemble of the minimum average variance estimates of functions that characterize the central subspace, such as the characteristic functions, the Box--Cox transformations and wavelet ...
Li, Bing, Yin, Xiangrong
core   +1 more source

Impact of sufficient dimension reduction in nonparametric estimation of causal effect

Statistical Theory and Related Fields, 2018
We consider the estimation of causal treatment effect using nonparametric regression or inverse propensity weighting together with sufficient dimension reduction for searching low-dimensional covariate subsets.
Ying Zhang, Jun Shao, Menggang Yu, Lei Wang   +3 more
doaj   +1 more source

Optimization of Multidimensional Energy Security: An Index Based Assessment

Energies, 2022
This study introduces Pakistan’s multidimensional energy security index (PMESI) and indices across dimensions from 1991 to 2020 through indicator optimization.
Fahad Bin Abdullah, Rizwan Iqbal, Sadique Ahmad, Mohammed A. El-Affendi, Pardeep Kumar   +4 more
doaj   +1 more source

Sufficient Dimension Reduction for Interactions

, 2020
Dimension reduction lies at the heart of many statistical methods. In regression, dimension reduction has been linked to the notion of sufficiency whereby the relation of the response to a set of predictors is explained by a lower dimensional subspace in the predictor space.
Park, Hyung, Petkova, Eva, Tarpey, Thaddeus, Ogden, R. Todd   +3 more
openaire   +2 more sources

Multiple phenotype association tests based on sliced inverse regression

BMC Bioinformatics
Background Joint analysis of multiple phenotypes in studies of biological systems such as Genome-Wide Association Studies is critical to revealing the functional interactions between various traits and genetic variants, but growth of data in ...
Wenyuan Sun, Kyongson Jon, Wensheng Zhu, the Alzheimer’s Disease Neuroimaging Initiative   +3 more
doaj   +1 more source

Imaging of High‐Risk Neuroblastoma: Recommendations From SIOPEN Radiology and Nuclear Medicine Specialty Committees

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Neuroblastoma is the most common extracranial solid tumor in early childhood. Its clinical behavior is highly variable, ranging from spontaneous regression to fatal outcome despite intensive treatment. The International Society of Pediatric Oncology Europe Neuroblastoma Group (SIOPEN) Radiology and Nuclear Medicine Specialty Committees ...
Annemieke Littooij, Catia Olianti, Herve Brisse, Pier Luigi Di Paolo, Maria Garganese, Tejas Kapadia, Jurgen Schaefer, Hugh Wallace, Simon Wan, Bart de Keizer, Irmina Sefic Pasic, Julian Rogasch   +11 more
wiley   +1 more source

Cognitive Functioning in Vorinostat‐Treated Pediatric and Young Adult Patients Over the First 180 Days After Hematopoietic Stem Cell Transplant

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Purpose Cognitive and psychological difficulties could negatively interfere with treatment adherence and quality of life before and after hematopoietic stem cell transplant (HSCT). Methods to mitigate these changes may have positive effects on treatment success.
Kristen L. Votruba, Michelle Rozwadowski, Thomas Braun, April Rahrig, Edward Peres, Kirsten M. Williams, Vanessa Fabrizio, Julie‐An Talano, Carrie L. Kitko, Nicolas Parnell, Pavan Reddy, Sung Won Choi   +11 more
wiley   +1 more source

A PRSZT Registry Analysis of Prognostic Factors Influencing Survival and Relapse Rates After Second Allogeneic Hematopoietic Stem Cell Transplantation in Pediatric Acute Lymphoblastic Leukemia

Pediatric Blood &Cancer, EarlyView.
ABSTRACT A second allogeneic (allo‐)hematopoietic stem cell transplantation (HSCT2) is a potential curative option for pediatric patients with acute lymphoblastic leukemia (ALL) following relapse after first allogeneic transplantation (HSCT1), but its efficacy is limited by high relapse rates and transplant‐related toxicity in highly pretreated ...
Ava Momm, Imme Haubitz, Rita Beier, Martin Zimmermann, Andrej Lissat, Peter Bader, Matthias Eyrich, Jan‐Henning Klusmann, Matthias Wölfl, Paul‐Gerhardt Schlegel, Verena Wiegering   +10 more
wiley   +1 more source

Sparse sufficient dimension reduction for directional regression

Journal of Big Data
Sufficient dimension reduction has emerged as a powerful tool for extracting meaningful information within high dimensional datasets over the past few decades.
Gayun Kwon, Gijeong Noh, Kyongwon Kim
doaj   +1 more source