Results 151 to 160 of about 421,329 (326)

Multiple imputation using auxiliary imputation variables that only predict missingness can increase bias due to data missing not at random

open access: yesBMC Medical Research Methodology
Background Epidemiological and clinical studies often have missing data, frequently analysed using multiple imputation (MI). In general, MI estimates will be biased if data are missing not at random (MNAR).
Elinor Curnow   +4 more
doaj   +1 more source

In vitro models of cancer‐associated fibroblast heterogeneity uncover subtype‐specific effects of CRISPR perturbations

open access: yesMolecular Oncology, EarlyView.
Development of therapies targeting cancer‐associated fibroblasts (CAFs) necessitates preclinical model systems that faithfully represent CAF–tumor biology. We established an in vitro coculture system of patient‐derived pancreatic CAFs and tumor cell lines and demonstrated its recapitulation of primary CAF–tumor biology with single‐cell transcriptomics ...
Elysia Saputra   +10 more
wiley   +1 more source

On variable auxiliary selection in Western Europe

open access: yesLinguistic Research, 2015
Donohue, Cathryn. 2015. On variable auxiliary selection in Western Europe. Linguistic Research 32(2), 469-480. A number of Western European languages use two different auxiliary verbs when forming the perfect aspect with monadic verbs, roughly corresponding to have and be. While such a split is cross-linguistically rare, various studies have shown that
openaire   +3 more sources

Molecular characterisation of human penile carcinoma and generation of paired epithelial primary cell lines

open access: yesMolecular Oncology, EarlyView.
Generation of two normal and tumour (cancerous) paired human cell lines using an established tissue culture technique and their characterisation is described. Cell lines were characterised at cellular, protein, chromosome and gene expression levels and for HPV status.
Simon Broad   +12 more
wiley   +1 more source

Dual Transformation of Auxiliary Variables by Using Outliers in Stratified Random Sampling

open access: yesMathematics
To estimate the finite population variance of the study variable, this paper proposes an improved class of efficient estimators using different transformations. When both the minimum and maximum values of the auxiliary variable are known and the ranks of
Mohammed Ahmed Alomair, Umer Daraz
doaj   +1 more source

Transcriptional network analysis of PTEN‐protein‐deficient prostate tumors reveals robust stromal reprogramming and signs of senescent paracrine communication

open access: yesMolecular Oncology, EarlyView.
Combining PTEN protein assessment and transcriptomic profiling of prostate tumors, we uncovered a network enriched in senescence and extracellular matrix (ECM) programs associated with PTEN loss and conserved in a mouse model. We show that PTEN‐deficient cells trigger paracrine remodeling of the surrounding stroma and this information could help ...
Ivana Rondon‐Lorefice   +16 more
wiley   +1 more source

Difference-Cum-Exponential-type estimators for estimation of finite population mean in survey sampling.

open access: yesPLoS ONE
Extensive research work has been done for the estimation of population mean using bivariate auxiliary information based on conventional measures. Conventional measures of the auxiliary variables provide suspicious results in the presence of outliers ...
Maria Javed   +4 more
doaj   +1 more source

Auxiliary variable transformations for intractable distributions

open access: yes, 2013
Expectations over probability distributions can be approximated by Markov chain Monte Carlo methods when the density can be evaluated up to a normalizing constant. However, there exist cases where this density takes on the form of an intractable integral and therefore cannot be computed exactly.
openaire   +1 more source

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