Results 31 to 40 of about 617,011 (320)
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
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Robust Nonparametric Confidence Intervals for Regression-Discontinuity Designs [PDF]
In the regression-discontinuity (RD) design, units are assigned to treatment based on whether their value of an observed covariate exceeds a known cutoff. In this design, local polynomial estimators are now routinely employed to construct confidence intervals for treatment effects. The performance of these confidence intervals in applications, however,
Calonico, Sebastian+2 more
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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
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Several research fields frequently deal with the analysis of diverse classification results of the same entities. This should imply an objective detection of overlaps and divergences between the formed clusters. The congruence between classifications can
Ana Severiano+4 more
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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
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Robust Empirical Bayes Confidence Intervals [PDF]
We construct robust empirical Bayes confidence intervals (EBCIs) in a normal means problem. The intervals are centered at the usual linear empirical Bayes estimator, but use a critical value accounting for shrinkage. Parametric EBCIs that assume a normal
Armstrong, Timothy B.+2 more
core
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
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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
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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
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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
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