Search results for "Wald test"

showing 8 items of 8 documents

Inferential tools in penalized logistic regression for small and sparse data: A comparative study.

2016

This paper focuses on inferential tools in the logistic regression model fitted by the Firth penalized likelihood. In this context, the Likelihood Ratio statistic is often reported to be the preferred choice as compared to the ‘traditional’ Wald statistic. In this work, we consider and discuss a wider range of test statistics, including the robust Wald, the Score, and the recently proposed Gradient statistic. We compare all these asymptotically equivalent statistics in terms of interval estimation and hypothesis testing via simulation experiments and analyses of two real datasets. We find out that the Likelihood Ratio statistic does not appear the best inferential device in the Firth penal…

Statistics and ProbabilityScore testPRESS statisticEpidemiologyStatistics as TopicScoreWald testLogistic regression01 natural sciences010104 statistics & probability03 medical and health sciences0302 clinical medicineHealth Information ManagementStatisticsEconometricsHumans030212 general & internal medicine0101 mathematicsStatisticMathematicsLikelihood FunctionsModels StatisticalLogistic regression firth penalized likelihood sandwich formula score statistic gradient statisticLogistic ModelsLikelihood-ratio testData Interpretation StatisticalSample SizeAncillary statisticSettore SECS-S/01 - StatisticaStatistical methods in medical research
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Finite Sample Sizes of the GRS Test in the Presence of Dynamic Correlation and Conditional Heteroskedasticity

2017

This paper investigates the finite sample properties of the widely-used Gibbons, Ross, Shanken (1989) (GRS) test in the presence of both conditional correlation and conditional heteroskedasticity. It finds that the GRS test exhibits serious size distortions resulting in potentially misleading statistical inferences. The correct critical values, as reported in the study, are considerably larger than suggested by the GRS test.

CorrelationHeteroscedasticitySample size determinationStatisticsStatistical inferenceEconometricsSample (statistics)Wald testMathematicsTest (assessment)SSRN Electronic Journal
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Adaptive designs with correlated test statistics

2009

In clinical trials, the collected observations such as clustered data or repeated measurements are often correlated. As a consequence, test statistics in a multistage design are correlated. Adaptive designs were originally developed for independent test statistics. We present a general framework for two-stage adaptive designs with correlated test statistics. We show that the significance level for the Bauer-Köhne design is inflated for positively correlated test statistics from a bivariate normal distribution. The decision boundary for the second stage can be modified so that type one error is controlled. This general concept is expandable to other adaptive designs. In order to use these de…

Statistics and ProbabilityOptimal designClinical Trials as TopicBiometryModels StatisticalEpidemiologyCovariance matrixMultivariate normal distributionWald testGeneralized linear mixed modelExact testSample size determinationStatisticsLinear ModelsHumansMathematicsStatistical hypothesis testingStatistics in Medicine
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How is weight stigma related to children's health-related quality of life? A model comparison approach

2018

Purpose. Obesity is a highly stigmatizing condition for both adults and children, and both obesity and stigma experiences are negatively related with Health-Related Quality of Life (HRQoL). However, the relations among these constructs have been modeled in different and sometimes inconsistent terms in past research, and have been the object of surprisingly few studies in pediatric populations. The present study addresses this gap by comparing, in a sample of pre-adolescent children, four competing models (i.e., additive, mediation, moderation, and moderated-mediation models) accounting for the role of stigma experiences in the concurrent relation between body weight and HRQoL. Methods: A co…

MaleMediation (statistics)Health-related quality of lifeSocial StigmaExcess weightStigma (botany)030209 endocrinology & metabolismWald testDevelopmental psychology03 medical and health sciencesWeight stigma0302 clinical medicineQuality of life (healthcare)Moderated mediationSurveys and QuestionnairesmedicineHumansObesity030212 general & internal medicineChildChildrenBody WeightPublic Health Environmental and Occupational Healthmedicine.diseaseModerationObesitychildren.Weight stigmaQuality of LifeFemalePsychologySettore M-PSI/05 - Psicologia SocialeClinical psychology
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A note on adjusted responses, fitted values and residuals in Generalized Linear Models

2014

Adjusted responses, adjusted fitted values and adjusted residuals are known to play in Generalized Linear Models the role played in Linear Models by observations, fitted values and ordinary residuals. We think this parallelism, which was widely recognized and used in the early literature on Generalized Linear Models, has been somewhat overlooked in more recent presentations. We revise this parallelism, systematizing and proving some results that are either scattered or not satisfactorily spelled out in the literature. In particular, we formally derive the asymptotic dispersion matrix of the (scaled) adjusted residuals, by proving that in Generalized Linear Models the fitted values are asym…

Statistics and ProbabilityGeneralized linear modelCovariance matrixLinear modelLinear predictionWald testUncorrelatedAdjusted ResidualWald test-statisticRao score test-statisticDecomposition (computer science)Parallelism (grammar)Linear ModelApplied mathematicsStatistics Probability and UncertaintySettore SECS-S/01 - StatisticaGeneralized Linear ModelMathematicsStatistical Modelling
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Reporting, interpretation, and extrapolation issues (SPIN) in abstracts of orthodontic meta-analyses published from 2000 to 2020

2021

Summary Aim To assess the prevalence of and identify factors associated with SPIN in abstracts of orthodontic meta-analyses. Materials and methods Electronic search was performed within the contents of five orthodontic journals and the Cochrane Database of Systematic Reviews (CDSR) to identify meta-analyses of studies involving humans, from 1 January 2000 until 31 August 2020. Inclusion of SPIN in the abstract of meta-analyses, defined as misleading reporting, misleading interpretation, and inappropriate extrapolation of the findings, was documented. Extent of SPIN and associations with journal and year of publication, type of study, number of authors, continent of authorship, methodologist…

medicine.medical_specialtySomatostatin receptor scintigraphybusiness.industry3505 OrthodonticsMEDLINE610 Medicine & healthOrthodontics030206 dentistry10067 Clinic for Orthodontics and Pediatric DentistryResearch findingsWald testConfidence interval03 medical and health sciences0302 clinical medicinePrimary outcomeSystematic reviewFamily medicineMedicineObservational study030212 general & internal medicinebusinessEuropean Journal of Orthodontics
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Why Is It So Difficult to Uncover the Risk-Return Tradeoff in Stock Returns?

2006

The low power of the standard Wald test in a GARCH-in-Mean model with an unnecessary intercept is shown to explain the apparent absence of a risk-return tradeoff in stocks. The importance of this finding is illustrated with monthly U.S. data. (c) 2006 Elsevier B.V. All rights reserved.

Economics and Econometrics050208 financeFinancial economicsfungi05 social sciencesasset pricingWald testasymptotic powerAsymptotic powerGARCH-in-Mean0502 economics and businessEconomicsCapital asset pricing model050207 economicsFinanceStock (geology)Risk return
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The Induced Smoothed lasso: A practical framework for hypothesis testing in high dimensional regression.

2020

This paper focuses on hypothesis testing in lasso regression, when one is interested in judging statistical significance for the regression coefficients in the regression equation involving a lot of covariates. To get reliable p-values, we propose a new lasso-type estimator relying on the idea of induced smoothing which allows to obtain appropriate covariance matrix and Wald statistic relatively easily. Some simulation experiments reveal that our approach exhibits good performance when contrasted with the recent inferential tools in the lasso framework. Two real data analyses are presented to illustrate the proposed framework in practice.

Statistics and ProbabilityStatistics::TheoryInduced smoothingEpidemiologyComputer scienceFeature selectionWald test01 natural sciencesasthma researchStatistics::Machine Learning010104 statistics & probability03 medical and health sciencesHealth Information ManagementLasso (statistics)Linear regressionsparse modelsStatistics::MethodologyComputer Simulation0101 mathematicssandwich formula030304 developmental biologyStatistical hypothesis testing0303 health sciencesCovariance matrixlung functionRegression analysisStatistics::Computationsparse modelResearch DesignAlgorithmSmoothingvariable selectionStatistical methods in medical research
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