Results 151 to 160 of about 2,914,956 (301)

Procoli: Profiles of cosmological likelihoods

Frequentist profile likelihoods have seen a resurgence in cosmology, offering an alternative to Bayesian methods as they can circumvent the impact of prior-volume effects. This paper presents Procoli, a fast and accessible package to obtain profile likelihoods in cosmology, available on GitHub and PyPI.
Karwal, Tanvi, Patel, Yashvi, Bartlett, Alexa, Poulin, Vivian, Smith, Tristan L, Pfeffer, Daniel N   +5 more
openaire   +3 more sources

Full likelihood inferences in the Cox model: an empirical likelihood approach

, 2011
Right censored data, Empirical likelihood, Maximum likelihood estimator, Partial likelihood, Profile likelihood,
Zhou, Mai, Ren, Jian Jian
core   +1 more source

Regulation of the lncRNA NEAT1 by p53‐ΔNp63 crosstalk modulates the DNA damage response and therapeutic efficacy in HNSCC

Molecular Oncology, EarlyView.
In head and neck squamous cell carcinoma (HNSCC) p53 and p63 exert opposite roles on the transcription regulation of the lncRNA NEAT1. Under basal conditions, p53 levels are low and p63 represses NEAT1 expression. Upon genotoxic stress, p53 is rapidly induced, displacing p63 from the NEAT1 promoter leading to NEAT1 transcriptional activation and ...
Sara De Domenico, Veronica La Banca, Silvia D'Amico, Stefano Scalera, Sara Nicolai, Angelo Peschiaroli   +5 more
wiley   +1 more source

APOBEC3 activity and DNA polymerase‐ε deficiency are associated with distinct IDH1 R132 hotspot mutations

Molecular Oncology, EarlyView.
Isocitrate dehydrogenase 1 (IDH1) mutations are highly recurrent in multiple human cancer types, including cholangiocarcinoma and glioma. IDH1 R132C is the most common IDH1 mutation in cholangiocarcinoma and likely arises from APOBEC3A‐ or APOBEC3B‐mediated deamination.
Kelly E. Butler, Bilal A. Lone, Ecem Unal, A. Rouf Banday   +3 more
wiley   +1 more source

Likelihood-based Inference for the Ratios of Regression Coefficients in Linear Models

Adjusted profile likelihood, Adjustments to profile likelihood, Conditional profile likelihood, Expected length of confidence interval, Integrated likelihood, Orthogonal transformation, Profile likelihood,
Dalho Kim, Gauri Datta, Malay Ghosh, Trevor Sweeting   +3 more
core   +1 more source

Extracellular matrix remodeling and immune reprogramming drive residual tumor progression of liver cancer after incomplete microwave ablation

Molecular Oncology, EarlyView.
Incomplete microwave ablation (iMWA) of liver cancer triggers a biphasic progression in residual tumors. At Day 3, the microenvironment is characterized by acute inflammatory responses and extracellular matrix (ECM) remodeling. By Day 14, a profound shift occurs toward oncogenic signal transduction and immunosuppression, marked by macrophage ...
Yu Liu, Yubei He, Nikolaus Berndt, Michael Mülleder, Kathrin Textoris‐Taube, Jing Guo, Matthias Stechele, Justus Ramtke, Shraga Nahum Goldberg, Lynn Jeanette Savic   +9 more
wiley   +1 more source

A note on profile likelihood for exponential tilt mixture models

Suppose that independent observations are drawn from multiple distributions, each of which is a mixture of two component distributions such that their log density ratio satisfies a linear model with a slope parameter and an intercept parameter. Inference
Z. Tan
core   +1 more source

Unique circulating miRNAome signatures captured with distinct molecular states in Lynch syndrome and sporadic colorectal cancer

Molecular Oncology, EarlyView.
Circulating microRNA profiles distinguish nonmalignant Lynch syndrome from cancer‐associated Lynch syndrome, sporadic colorectal cancer, and healthy controls. Age‐stratified analysis reveals disease‐specific regulatory states, and a six‐miRNA panel shows concordant separation in an independent colorectal tissue cohort.
Ramadhani Salum Chambuso, Md Shohel Ul Islam, Rosa M Xicola, Raj Ramesar, Xavier Llor, Sinclair Steele   +5 more
wiley   +1 more source

Profile quasi-likelihood

In this paper, the only assumptions on the distribution of data are those concerning first two moments. Our purpose is to estimate the parameter of interest in the presence of nuisance parameter under these weak assumptions on the distribution. We define
Zhang, Runchu, Lin, Lu
core  

The directed modified profile likelihood in models with many nuisance parameters

, 1999
The modified profile likelihood is a higher-order approximation to a conditional or a marginal likelihood, when either exists. The directed likelihood based on the modified profile likelihood is standard normal only to first order. In practice, however,
PACE, Luigi, PACE L., SARTORI N., BELLIO, Ruggero, SALVAN A., SALVAN, ALESSANDRA, BELLIO R., A., SALVAN, A., SALVAN, SARTORI, Nicola   +10 more
core