Results 71 to 80 of about 764,403 (277)
Unbiased clustering estimation in the presence of missing observations [PDF]
, 2017 In order to be efficient, spectroscopic galaxy redshift surveys do not obtain redshifts for all galaxies in the population targeted. The missing galaxies are often clustered, commonly leading to a lower proportion of successful observations in dense ...
Bianchi, Davide, Percival, Will J.
core +2 more sources
African Journal of Applied Statistics, 2017 Dans cet article, nous comparons les performances des cinq (5) techniques d'imputation de valeurs sous les hypotheses de donnees manquantes de maniere completement aleatoirement (MCAR). La comparaison se fait la base du modele des Equations Generalisees d'Estimation (GEE) pour la base complete, le ceofficient de determination, de l'erreur quadratique ...
ANANI, Lotsi +2 more
openaire +2 more sources
Close-Knit-Regression: An Efficient Technique in Estimating Missing Completely at Random Data
Asian Journal of Probability and Statistics, 2023 The study aimed at using the Close-Knit Regression (CKR) technique to approximate values absent because of the missing completely at random mechanism. Bivariate datasets were generated and simulated for MCAR mechanism at low (10%) and high (60%) rates.
Ahmed Abdulkadir +3 more
openaire +1 more source
Molecular Oncology, EarlyView.Pharmacologic ascorbate (vitamin C) increases ROS, disrupts cellular metabolism, and induces DNA damage in CRPC cells. These effects sensitize tumors to PARP inhibition, producing synergistic growth suppression with olaparib in vitro and significantly delayed tumor progression in vivo. Pyruvate rescue confirms ROS‐dependent activity.
Nicolas Gordon +13 more
wiley +1 more source
Biases in comparative analyses of extinction risk: mind the gap [PDF]
, 2012 . Comparative analyses are used to address the key question of what makes a species more prone to extinction by exploring the links between vulnerability and intrinsic species’ traits and ⁄ or extrin- sic factors.
Altiok, Ertunc +9 more
core +2 more sources
Estimation beyond Missing (Completely) at Random
86 pages, 6 ...
Ma, Tianyi +4 more
openaire +2 more sources
Plecstatin inhibits hepatocellular carcinoma tumorigenesis and invasion through cytolinker plectin
Molecular Oncology, EarlyView.The ruthenium‐based metallodrug plecstatin exerts its anticancer effect in hepatocellular carcinoma (HCC) primarily through selective targeting of plectin. By disrupting plectin‐mediated cytoskeletal organization, plecstatin inhibits anchorage‐dependent growth, cell polarization, and tumor cell dissemination.
Zuzana Outla +10 more
wiley +1 more source
Log-linear Models and Closed Form Estimates for Missing Values in Two Dimensional Contingency Tables
Cumhuriyet Science JournalThe problem of missing data is frequently encountered in scientific research due to various reasons such as nonresponse in surveys, data recording errors, data loss, or limitations inherent in the study design. Missing data mechanisms are classified into
Emine Öçal +1 more
doaj +1 more source
BMC Bioinformatics, 2019 Background LC-MS technology makes it possible to measure the relative abundance of numerous molecular features of a sample in single analysis. However, especially non-targeted metabolite profiling approaches generate vast arrays of data that are prone to
Marietta Kokla +4 more
doaj +1 more source
Open Journal of Statistics, 2014 In analyzing data from clinical trials and longitudinal studies, the issue of missing values is always a fundamental challenge since the missing data could introduce bias and lead to erroneous statistical inferences. To deal with this challenge, several imputation methods have been developed in the literature to handle missing values where the ...
Michikazu Nakai +3 more
openaire +2 more sources