Results 91 to 100 of about 1,716,816 (278)
Health and Quality of Life Outcomes, 2010 Background Missing items are common in quality of life (QoL) questionnaires and present a challenge for research in this field. The development of sound strategies of replacement and prevention requires accurate knowledge of their type and determinants ...
Coste Joël, Peyre Hugo, Leplège Alain
doaj +1 more source
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
Semiparametric regression analysis with missing response at random [PDF]
We develop inference tools in a semiparametric partially linear regression model with missing response data. A class of estimators is defined that includes as special cases: a semiparametric regression imputation estimator, a marginal average estimator ...
Oliver Linton +2 more
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MISSING AT RANDOM ‐ WHAT DOES IT MEAN? [PDF]
ETS Research Bulletin Series, 1973 ABSTRACTMost articles on missing values assume the missing data are “missing at random” and ignore the process that “caused” the missing values. The condition under which this procedure is justified is explored here: the concept of missing at random is precisely defined, several examples are discussed, and two simple conditions are given which are ...
openaire +1 more source
Molecular Oncology, EarlyView.Nanosecond infrared laser (NIRL) low‐volume sampling combined with shotgun lipidomics uncovers distinct lipidome alterations in oropharyngeal squamous cell carcinoma (OPSCC) of the palatine tonsil. Several lipid species consistently differentiate tumor from healthy tissue, highlighting their potential as diagnostic markers.
Leonard Kerkhoff +11 more
wiley +1 more source
Exploring a Diagnostic Test for Missingness at Random
MathematicsMissing data remain a challenge for researchers and decision-makers due to their impact on analytical accuracy and uncertainty estimation. Many studies on missing data are based on randomness, but randomness itself is problematic. This makes it difficult
Dominick Sutton, Anahid Basiri, Ziqi Li
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Non-Response in Dynamic Panel Data Models [PDF]
This paper stresses the links that exist between concepts that are used in the theory of model reduction and concepts that arise in the missing data literature.
Cheti Nicoletti
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Molecular Oncology, EarlyView.We show that the majority of the 18 analyzed recurrent cancer‐associated ERBB4 mutations are transforming. The most potent mutations are activating, co‐operate with other ERBB receptors, and are sensitive to pan‐ERBB inhibitors. Activating ERBB4 mutations also promote therapy resistance in EGFR‐mutant lung cancer.
Veera K. Ojala +15 more
wiley +1 more source
Mean Empirical Likelihood Inference for Response Mean with Data Missing at Random
Discrete Dynamics in Nature and Society, 2020 We extend the mean empirical likelihood inference for response mean with data missing at random. The empirical likelihood ratio confidence regions are poor when the response is missing at random, especially when the covariate is high-dimensional and the ...
Hanji He, Guangming Deng
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Weak consistency of the 1-nearest neighbor measure with applications to missing data
, 2019 When data is partially missing at random, imputation and importance weighting are often used to estimate moments of the unobserved population. In this paper, we study 1-nearest neighbor (1NN) importance weighting, which estimates moments by replacing ...
Sharpnack, James
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