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   Articles with "likelihood" as a keyword



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Association of Regional Intensity of Ductal Carcinoma In Situ Treatment With Likelihood of Breast Preservation

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recommendations! Published in 2017 at "JAMA Oncology"

DOI: 10.1001/jamaoncol.2016.2164

Abstract: Importance Large regional variation exists in the use of radiotherapy after breast-conserving surgery (BCS) for ductal carcinoma in situ (DCIS). Although patients who do not receive initial radiotherapy for DCIS are candidates for subsequent BCS… read more here.

Keywords: use; seer; breast; dcis ... See more keywords
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A likelihood for correlated extreme series

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recommendations! Published in 2018 at "Environmetrics"

DOI: 10.1002/env.2546

Abstract: This paper develops a likelihood for sequences of extremes when observations are dependent in time. The likelihood allows researchers to obtain more realistic standard errors of the generalized extreme‐value parameters. As a motivating example, annual… read more here.

Keywords: annual minimum; likelihood; series; likelihood correlated ... See more keywords
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Large scale multifactorial likelihood quantitative analysis of BRCA1 and BRCA2 variants: An ENIGMA resource to support clinical variant classification

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recommendations! Published in 2019 at "Human Mutation"

DOI: 10.1002/humu.23818

Abstract: The multifactorial likelihood analysis method has demonstrated utility for quantitative assessment of variant pathogenicity for multiple cancer syndrome genes. Independent data types currently incorporated in the model for assessing BRCA1 and BRCA2 variants include clinically… read more here.

Keywords: classification; analysis; likelihood; pathogenicity ... See more keywords
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Hyperbolic modeling and assessment of hypothetical health behaviors during a viral outbreak using crowdsourced samples.

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recommendations! Published in 2023 at "Journal of the experimental analysis of behavior"

DOI: 10.1002/jeab.824

Abstract: The COVID-19 pandemic provided an opportunity to investigate factors related to public response to public health measures, which could help better prepare implementation of similar measures for inevitable future pandemics. To understand individual and environmental… read more here.

Keywords: health; viral outbreak; public health; experiment assessed ... See more keywords
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Frailty proportional mean residual life regression for clustered survival data: A hierarchical quasi-likelihood method.

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recommendations! Published in 2019 at "Statistics in medicine"

DOI: 10.1002/sim.8338

Abstract: Frailty models are widely used to model clustered survival data arising in multicenter clinical studies. In the literature, most existing frailty models are proportional hazards, additive hazards, or accelerated failure time model based. In this… read more here.

Keywords: likelihood; survival data; clustered survival; frailty ... See more keywords
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Kernel density-based likelihood ratio tests for linear regression models.

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recommendations! 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
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Proportional likelihood ratio mixed model for discrete longitudinal data.

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recommendations! 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
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Marginal, conditional, and pseudo likelihood ratio approaches for biomarker combination to predict a binary disease outcome

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recommendations! 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
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Surveillance for endemic infectious disease outbreaks: Adaptive sampling using profile likelihood estimation

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recommendations! Published in 2022 at "Statistics in Medicine"

DOI: 10.1002/sim.9420

Abstract: Outbreaks of an endemic infectious disease can occur when the disease is introduced into a highly susceptible subpopulation or when the disease enters a network of connected individuals. For example, significant HIV outbreaks among people… read more here.

Keywords: location; disease; endemic infectious; likelihood ... See more keywords
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Adjusted closed‐form confidence interval formulas for network meta‐analysis with a small number of studies

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recommendations! Published in 2022 at "Statistics in Medicine"

DOI: 10.1002/sim.9626

Abstract: We derive simple formulas for closed‐form confidence intervals for the Wald statistic, likelihood ratio statistic, and score statistic for network meta‐analysis (NMA). Additionally, we consider resolutions of concerns that network meta‐analyzes with a small number… read more here.

Keywords: confidence; bartlett type; likelihood; type adjustment ... See more keywords
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Model misspecification and robust analysis for outcome‐dependent sampling designs under generalized linear models

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recommendations! Published in 2023 at "Statistics in Medicine"

DOI: 10.1002/sim.9673

Abstract: Outcome‐dependent sampling (ODS) is a commonly used class of sampling designs to increase estimation efficiency in settings where response information (and possibly adjuster covariates) is available, but the exposure is expensive and/or cumbersome to collect.… read more here.

Keywords: likelihood; dependent sampling; analysis; phase ... See more keywords