Results 111 to 120 of about 290,361 (291)

Survival Analysis Using Auxiliary Variables Via Nonparametric Multiple Imputation [PDF]

, 2004
We develop an approach, based on multiple imputation, that estimates the marginal survival distribution in survival analysis using auxiliary variable to recover information for censored observations.
Commenges, Daniel, Hsu, Chiu-Hsieh, Murray, Susan, Taylor, Jeremy   +3 more
core   +1 more source

A Mussel‐Inspired Bioadhesive Patch to Selectively Kill Glioblastoma Cells

Advanced Science, EarlyView.
An innovative mussel‐inspired bioadhesive patch has been developed for post‐surgical glioblastoma treatment. The patch, which adheres strongly in biological environments, releases a localized treatment. This treatment, acting via reactive oxygen species, shows specific toxicity to glioblastoma cells.
Jose Bolaños‐Cardet, Sara Pugliese, Jordi Bruna, Daniel Ruiz‐Molina, Salvio Suárez‐García, Victor J. Yuste   +5 more
wiley   +1 more source

Compensating for Missing Data from Longitudinal Studies Using WinBUGS [PDF]

Missing data is a common problem in survey based research. There are many packages that compensate for missing data but few can easily compensate for missing longitudinal data.
Adrian G. Barnett, Annette J. Dobson, Gita Mishra, Gretchen Carrigan   +3 more
core   +1 more source

Multiple Imputation: Theory and Method

International Statistical Review, 2003
SummaryIn this review paper, we discuss the theoretical background of multiple imputation, describe how to build an imputation model and how to create proper imputations. We also present the rules for making repeated imputation inferences. Three widely used multiple imputation methods, the propensity score method, the predictive model method and the ...
openaire   +3 more sources

MGM as a Large‐Scale Pretrained Foundation Model for Microbiome Analyses in Diverse Contexts

Advanced Science, EarlyView.
We present the Microbial General Model (MGM), a transformer‐based foundation model pretrained on over 260,000 microbiome samples. MGM learns contextualized microbial representations via self‐supervised language modeling, enabling robust transfer learning, cross‐regional generalization, keystone taxa discovery, and prompt‐guided generation of realistic,
Haohong Zhang, Yuli Zhang, Zixin Kang, Jiayun Xiong, Ronghua Yang, Kang Ning   +5 more
wiley   +1 more source

weIMPUTE: a user-friendly web-based genotype imputation platform

Frontiers in Genetics
BackgroundGenotype imputation is a critical preprocessing step in genome-wide association studies (GWAS), enhancing statistical power for detecting associated single nucleotide polymorphisms (SNPs) by increasing marker size.ResultsIn response to the ...
Mingliang Li, Mingliang Li, Zhuo Li, Zhuo Li, Zhuo Li, Defu Liu, Qi Li, Xiaodong Hu, Jun Yu, Jian Lin, Chunguang Bi, Guanshi Ye, Helong Yu, You Tang, You Tang, You Tang   +15 more
doaj   +1 more source

Engineered GM1 Intersects Between Mitochondrial and Synaptic Pathways to Ameliorate ALS Pathology

Advanced Science, EarlyView.
Amyotrophic Lateral Sclerosis (ALS) is a fatal neurodegenerative disease driven by genetic and molecular disruptions affecting energy balance, protein homeostasis, and stress responses in nerve cells. Studies using human and rodent models identified convergent defects in mitochondria and synaptic function.
Federica Pilotto, Tristan Dellazizzo Toth, Silvano Bond, Alexander Schmitz, Rim Diab, Sara Y. Ngo Tenlep, Brian Mooney, Silvia Erni, Martina Schobesberger, Olivier Scheidegger, Camille Peitsch, Smita Saxena   +11 more
wiley   +1 more source

Taking "Don't Knows" as Valid Responses: A Complete Random Imputation of Missing Data [PDF]

Incomplete data is a common problem of survey research. Recent work on multiple imputation techniques has increased analysts' awareness of the biasing effects of missing data and has also provided a convenient solution.
Martin Kroh
core  

Evaluating the Utilities of Foundation Models in Single‐Cell Data Analysis

Advanced Science, EarlyView.
This study delivers the first systematic, task‐level evaluation of single‐cell foundation models across eight core analytical tasks. By benchmarking 10 leading models with the scEval framework, it reveals where foundation models truly add value, where task‐specific methods still dominate, and provides concrete, reproducible guidelines to steer the next
Tianyu Liu, Kexing Li, Yuge Wang, Hongyu Li, Hongyu Zhao   +4 more
wiley   +1 more source

Multiple imputation for unit-nonresponse versus weighting including a comparison with a nonresponse follow-up study [PDF]

The results of a national fear of crime survey are compared with results following the use of different nonresponse correction procedures. We compared naive estimates, weighted estimates, estimates after a thorough nonresponse follow-up and estimates ...
Rässler, Susanne, Schnell, Rainer
core