Results 11 to 20 of about 343,435 (310)
Confidence Distributions for FIC Scores
Econometrics, 2020 When using the Focused Information Criterion (FIC) for assessing and ranking candidate models with respect to how well they do for a given estimation task, it is customary to produce a so-called FIC plot. This plot has the different point estimates along
Céline Cunen, Nils Lid Hjort
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Sensitivity of Survival Analysis Metrics
Mathematics, 2023 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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Autocorrelation and Parameter Estimation in a Bayesian Change Point Model
Mathematics, 2023 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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Comparison of Seven Non-Linear Mixed Effect Model-Based Approaches to Test for Treatment Effect
Pharmaceutics, 2023 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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subtee: An R Package for Subgroup Treatment Effect Estimation in Clinical Trials
Journal of Statistical Software, 2021 The investigation of subgroups is an integral part of randomized clinical trials. Exploration of treatment effect heterogeneity is typically performed by covariate-adjusted analyses including treatment-by-covariate interactions.
Nicolas M. Ballarini +3 more
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BACE and BMA Variable Selection and Forecasting for UK Money Demand and Inflation with Gretl
Econometrics, 2020 In this paper, we apply Bayesian averaging of classical estimates (BACE) and Bayesian model averaging (BMA) as an automatic modeling procedures for two well-known macroeconometric models: UK demand for narrow money and long-term inflation.
Marcin Błażejowski +2 more
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A Comparison of Model Averaging Techniques to Predict the Spatial Distribution of Soil Properties
Remote Sensing, 2022 This study tested and evaluated a suite of nine individual base learners and seven model averaging techniques for predicting the spatial distribution of soil properties in central Iran.
Ruhollah Taghizadeh-Mehrjardi +5 more
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Model Averaging in Economics [PDF]
SSRN Electronic Journal, 2011 Model uncertainty remains a challenge to applied researchers in economics. When many competing models are available for estimation and without enough guidance from theory, model averaging represents an alternative to model selection. Despite model averaging approaches have been present in statistics for many years, only over the recent decades are ...
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A survival mediation model with Bayesian model averaging [PDF]
Statistical Methods in Medical Research, 2021 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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Optimal Model Averaging for Semiparametric Partially Linear Models with Censored Data
Mathematics, 2023 In the past few decades, model averaging has received extensive attention, and has been regarded as a feasible alternative to model selection. However, this work is mainly based on parametric model framework and complete dataset.
Guozhi Hu, Weihu Cheng, Jie Zeng
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