A simple remedy for overprecision in judgment [PDF]
Overprecision is the most robust type of overconfidence. We present a new method that significantly reduces this bias and offers insight into its underlying cause.
Uriel Haran+2 more
doaj +2 more sources
Do metabolic factors increase the risk of thyroid cancer? a Mendelian randomization study
BackgroundEpidemiological studies emphasize the link between metabolic factors and thyroid cancer. Using Mendelian randomization (MR), we assessed the possible causal impact of metabolic factors on thyroid cancer for the first time.MethodsSummary ...
Weiwei Liang, FangFang Sun
doaj +1 more source
Brain magnetic resonance imaging predictors in anti‐N‐methyl‐D‐aspartate receptor encephalitis
Abstract Objective Brain magnetic resonance imaging (MRI) findings in anti‐N‐methyl‐D‐aspartate receptor (NMDAR) encephalitis are nonspecific and rarely have obvious associations with clinical characteristics and outcomes. This study aimed to comprehensively describe the MRI features of patients with NMDAR encephalitis, examine their associations with ...
Ying‐Ying Zhao+8 more
wiley +1 more source
This paper develops a novel wild bootstrap procedure to construct robust bias-corrected valid confidence intervals for fuzzy regression discontinuity designs, providing an intuitive complement to existing robust bias-corrected methods.
Yang He, Otávio Bartalotti
semanticscholar +1 more source
A Conditional-Heteroskedasticity-Robust Confidence Interval for the Autoregressive Parameter [PDF]
This paper introduces a new confidence interval (CI) for the autoregressive parameter (AR) in an AR(1) model that allows for conditional heteroskedasticity of general form and AR parameters that are less than or equal to unity. The CI is a modification of Mikusheva's (2007a) modification of Stock's (1991) CI that employs the least squares estimator and
Donald W.K. Andrews, Patrik Guggenberger
openaire +5 more sources
Robust Confidence Intervals for Average Treatment Effects Under Limited Overlap
Estimators of average treatment effects under unconfounded treatment assignment are known to become rather imprecise if there is limited overlap in the covariate distributions between the treatment groups.
C. Rothe
semanticscholar +1 more source
Confidence interval based parameter estimation--a new SOCR applet and activity. [PDF]
Many scientific investigations depend on obtaining data-driven, accurate, robust and computationally-tractable parameter estimates. In the face of unavoidable intrinsic variability, there are different algorithmic approaches, prior assumptions and ...
Nicolas Christou, Ivo D Dinov
doaj +1 more source
Correction to: Confidence intervals for robust estimates of measurement uncertainty [PDF]
The notations Fp,ν1,ν2 and χ2p,ν in Eqs. (1), (2) and (3)
Peter D. Rostron+2 more
openaire +1 more source
Use of the bootstrap in analysing cost data from cluster randomised trials: some simulation results
Background This work has investigated under what conditions confidence intervals around the differences in mean costs from a cluster RCT are suitable for estimation using a commonly used cluster-adjusted bootstrap in preference to methods that utilise ...
Flynn Terry N, Peters Tim J
doaj +1 more source
Which Robust Regression Technique Is Appropriate Under Violated Assumptions? A Simulation Study
Ordinary least squares (OLS) regression is widely employed for statistical prediction and theoretical explanation in psychology studies. However, OLS regression has a critical drawback: it becomes less accurate in the presence of outliers and non-random ...
Jaejin Kim, Johnson Ching-Hong Li
doaj +1 more source