Kernel density-based likelihood ratio tests for linear regression models.
Sign Up to like & getrecommendations! Published in 2020 at "Statistics in medicine"
DOI: 10.1002/sim.8765
Abstract: In this article, we develop a so-called profile likelihood ratio test (PLRT) based on the estimated error density for the multiple linear regression model. Unlike the existing likelihood ratio test (LRT), our proposed PLRT does… read more here.
Keywords: ratio test; likelihood; likelihood ratio; linear regression ... See more keywords
Proportional likelihood ratio mixed model for discrete longitudinal data.
Sign Up to like & getrecommendations! Published in 2021 at "Statistics in medicine"
DOI: 10.1002/sim.8902
Abstract: Rathouz and Gao [2] and Luo and Tsai [3] proposed valuable extensions to the generalized linear model for modeling a nonlinear monotonic relationship between the mean response and a set of covariates. In their extensions… read more here.
Keywords: longitudinal data; likelihood; likelihood ratio; model ... See more keywords
Marginal, conditional, and pseudo likelihood ratio approaches for biomarker combination to predict a binary disease outcome
Sign Up to like & getrecommendations! Published in 2022 at "Statistics in Medicine"
DOI: 10.1002/sim.9371
Abstract: It is a common practice in public health research that multiple biomarkers are collected to diagnose or predict a disease outcome. A natural question is how to combine multiple biomarkers to improve the diagnostic accuracy.… read more here.
Keywords: likelihood ratio; biomarker combination; likelihood; disease outcome ... See more keywords
Latent likelihood ratio tests for assessing spatial kernels in epidemic models
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DOI: 10.1007/s00285-020-01529-3
Abstract: One of the most important issues in the critical assessment of spatio-temporal stochastic models for epidemics is the selection of the transmission kernel used to represent the relationship between infectious challenge and spatial separation of… read more here.
Keywords: latent likelihood; ratio tests; likelihood ratio; likelihood ... See more keywords
A Likelihood Ratio-Based Approach to Segmenting Unknown Objects
Sign Up to like & getrecommendations! Published in 2024 at "International Journal of Computer Vision"
DOI: 10.1007/s11263-025-02509-0
Abstract: Addressing the Out-of-Distribution (OoD) segmentation task is a prerequisite for perception systems operating in an open-world environment. Large foundational models are frequently used in downstream tasks, however, their potential for OoD remains mostly unexplored. We… read more here.
Keywords: large foundational; unknown objects; segmentation; representation ... See more keywords
Likelihood ratio-type tests in weighted composite quantile regression of DTARCH models
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DOI: 10.1007/s11425-016-9321-x
Abstract: The double-threshold autoregressive conditional heteroscedastic (DTARCH) model is a useful tool to measure and forecast the mean and volatility of an asset return in a financial time series. The DTARCH model can handle situations wherein… read more here.
Keywords: weighted composite; quantile regression; likelihood ratio; dtarch ... See more keywords
Introducing Nonparametric Predictive Inference Methods for Reproducibility of Likelihood Ratio Tests
Sign Up to like & getrecommendations! Published in 2018 at "Journal of Statistical Theory and Practice"
DOI: 10.1007/s42519-018-0020-9
Abstract: This paper introduces the nonparametric predictive inference approach for reproducibility of likelihood ratio tests. The general idea of this approach is outlined for tests between two simple hypotheses, followed by an investigation of reproducibility for… read more here.
Keywords: reproducibility likelihood; reproducibility; likelihood ratio; ratio tests ... See more keywords
Approximations for the Likelihood Ratio Statistic for Hypothesis Testing Between Two Beta Distributions
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DOI: 10.1007/s42519-018-0021-8
Abstract: AbstractIn this paper, the likelihood ratio to test between two Beta distributions is addressed. The exact distribution of the likelihood ratio statistic, for simple hypotheses, is obtained in terms of Gamma or Generalized Integer Gamma… read more here.
Keywords: likelihood ratio; beta distributions; two beta; approximations likelihood ... See more keywords
The potential diagnostic accuracy of circulating microRNAs for prostate cancer: A meta-analysis.
Sign Up to like & getrecommendations! Published in 2022 at "Actas urologicas espanolas"
DOI: 10.1016/j.acuroe.2021.05.005
Abstract: OBJECTIVES This meta-analysis has been conducted to evaluate the diagnostic accuracy of circulating microRNAs for the early diagnosis of prostate cancer (PCA). METHODS A systematic literature search was performed (updated to February 18, 2021) in… read more here.
Keywords: analysis; likelihood ratio; diagnostic accuracy; meta analysis ... See more keywords
Interpretable Clinical Genomics with a Likelihood Ratio Paradigm.
Sign Up to like & getrecommendations! Published in 2020 at "American journal of human genetics"
DOI: 10.1016/j.ajhg.2020.06.021
Abstract: Human Phenotype Ontology (HPO)-based analysis has become standard for genomic diagnostics of rare diseases. Current algorithms use a variety of semantic and statistical approaches to prioritize the typically long lists of genes with candidate pathogenic… read more here.
Keywords: genomics likelihood; interpretable clinical; likelihood ratio; genomic diagnostics ... See more keywords
NGS-based likelihood ratio for identifying contributors in two- and three-person DNA mixtures
Sign Up to like & getrecommendations! Published in 2018 at "Computational biology and chemistry"
DOI: 10.1016/j.compbiolchem.2018.03.010
Abstract: DNA fingerprinting, also known as DNA profiling, serves as a standard procedure in forensics to identify a person by the short tandem repeat (STR) loci in their DNA. By comparing the STR loci between DNA… read more here.
Keywords: mixture; person; likelihood ratio; dna ... See more keywords