Results 251 to 260 of about 248,303 (301)

CleanSurvival: automated data preprocessing for time-to-event models using reinforcement learning. [PDF]

BMC Med Inform Decis Mak
Koka Y, Selby D, Großmann G, Pandya K, Vollmer S.   +4 more
europepmc   +1 more source

Multilaboratory, Blinded, Randomized Trial of Five Cerebroprotectants in Ischemic Stroke. [PDF]

Circ Res
Ayata C, Chauhan AK, Hess DC, Hu B, Leira EC, Sansing L, Sheng H, Imai T, Jin X, Aykan SA, Morais A, Jha AB, Jain A, Thedens D, Patel RB, Kumskova M, Khan MB, Dhandapani KM, Kamat PK, Arbab AS, Olivas Garcia Y, Asadi Y, Liu C, Sauer K, Chen Y, Boisserand LSB, Caglayan P, Guan QS, Hyder F, Martin J, Gade S, Sanganahalli BG, Mishra SK, Yang W, Wang H, Zhang S, Wetsel W, Johnson GA, Bedirian K, Wang SH, Diniz MA, Lynch K, Bienkowski M, Toga AW, Nagarkatti K, Lamb J, Lyden P.   +46 more
europepmc   +1 more source

Recurrent and system-specific model-attribution patterns in PISA 2022 science performance across nine education systems. [PDF]

PLoS One
Liu M, Bai X, Li X, Jin W, Jin W.
europepmc   +1 more source

Association Between Total Cholesterol and In-Hospital Mortality Among First-Episode Acute Coronary Syndrome Patients: Multilevel Analysis from NCVD-ACS Registry. [PDF]

Healthcare (Basel)
Tg Abu Bakar Sidik TMI, Shah SA, Kasim S, Selvaraj G, Liu KT, Safian N, Wan Ahmad WA.   +6 more
europepmc   +1 more source

Multi-modal learning with incomplete data. [PDF]

Nat Commun
López A, Zobolas J, Dumontier T, Aittokallio T.   +3 more
europepmc   +1 more source

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Imputation

Abstract This chapter underscores the importance of being able to the norms of practical philosophy in concrete circumstances, particularly as relevant to Kant’s moral theory as expounded in the Groundwork and second Critique. Notably absent in these works is a comprehensive theory or even reflection on the application of moral laws ...
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Imputation

WIREs Computational Statistics, 2012
AbstractMissing data are a common problem in statistics. Imputation, or filling in the missing values, is an intuitive and flexible way to address the resulting incomplete data sets. We focus on multiple imputation, which, when implemented correctly, can be a statistically valid strategy for handling missing data.
Rässler, Susanne, Rubin, Donald B., Zell, Elizabeth R.   +2 more
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Likelihood Imputation

Scandinavian Journal of Statistics, 1998
The method of likelihood imputation is devised under the framework of latent structure models where the observation is a statistic of the complete data which can only be specified on a latent basis. The imputed data set is chosen to differ least from the observed one in their information contents—a concept with general implications for the analysis of ...
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Compatibility in imputation specification

Behavior Research Methods, 2022
Missing data such as data missing at random (MAR) are unavoidable in real data and have the potential to undermine the validity of research results. Multiple imputation is one of the most widely used MAR-based methods in education and behavioral science applications.
Han, Du, Egamaria, Alacam, Stefany, Mena, Brian T, Keller   +3 more
openaire   +2 more sources