Results 21 to 30 of about 316,835 (263)
A survival mediation model with Bayesian model averaging [PDF]
Determining the extent to which a patient is benefiting from cancer therapy is challenging. Criteria for quantifying the extent of “tumor response” observed within a few cycles of treatment have been established for various types of solids as well as hematologic malignancies. These measures comprise the primary endpoints of phase II trials. Regulatory
Jie Zhou +4 more
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The performance of weak gaseous plume-detection methods in hyperspectral long-wave infrared imagery depends on scene-specific conditions such at the ability to properly estimate atmospheric transmission, the accuracy of estimated chemical signatures, and
Nicolas Hengartner, Tom Burr
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Optimal model averaging estimator for multinomial logit models
In this paper, we study optimal model averaging estimators of regression coefficients in a multinomial logit model, which is commonly used in many scientific fields.
Rongjie Jiang, Liming Wang, Yang Bai
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Credal Model Averaging: An Extension of Bayesian Model Averaging to Imprecise Probabilities [PDF]
We deal with the arbitrariness in the choice of the prior over the models in Bayesian model averaging(BMA), by modelling prior knowledge by a set of priors (i.e., a prior credal set). We consider Dash and Cooper's BMA applied to naive Bayesian networks, replacing the single prior over the naive models by a credal set; this models a condition close to ...
Giorgio Corani, Marco Zaffalon
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Sensitivity of Survival Analysis Metrics
Survival analysis models allow for predicting the probability of an event over time. The specificity of the survival analysis data includes the distribution of events over time and the proportion of classes.
Iulii Vasilev +2 more
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Capture‐recapture using multiple data sources: estimating the prevalence of diabetes
Objective: To examine the potential for using multiple list sources and capture‐recapture methods for estimating the prevalence of diagnosed diabetes. Method: A model‐averaging procedure using an adjusted Akaike's Information Criterion (QAICc) was used ...
Claire M. Cameron +3 more
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Autocorrelation and Parameter Estimation in a Bayesian Change Point Model
A piecewise function can sometimes provide the best fit to a time series. The breaks in this function are called change points, which represent the point at which the statistical properties of the model change.
Rui Qiang, Eric Ruggieri
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Model‐Averaged Confidence Intervals [PDF]
AbstractWe develop an approach to evaluating frequentist model averaging procedures by considering them in a simple situation in which there are two‐nested linear regression models over which we average. We introduce a general class of model averaged confidence intervals, obtain exact expressions for the coverage and the scaled expected length of the ...
Kabaila, Paul +2 more
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Detrending the Waveforms of Steady-State Vowels
Steady-state vowels are vowels that are uttered with a momentarily fixed vocal tract configuration and with steady vibration of the vocal folds. In this steady-state, the vowel waveform appears as a quasi-periodic string of elementary units called pitch ...
Marnix Van Soom, Bart de Boer
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Comparison of Seven Non-Linear Mixed Effect Model-Based Approaches to Test for Treatment Effect
Analyses of longitudinal data with non-linear mixed-effects models (NLMEM) are typically associated with high power, but sometimes at the cost of inflated type I error.
Estelle Chasseloup, Mats O. Karlsson
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