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Discussion of "On nearly assumption-free tests of nominal confidence interval coverage for causal parameters estimated by machine learning" [PDF]
arXiv, 2020 We congratulate the authors on their exciting paper, which introduces a novel idea for assessing the estimation bias in causal estimates. Doubly robust estimators are now part of the standard set of tools in causal inference, but a typical analysis stops with an estimate and a confidence interval. The authors give an approach for a unique type of model-
arxiv
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objectives To investigate whether pulse pressure or mean arterial pressure mediates the relationship between age and white matter hyperintensity load and to examine the mediating effect of white matter hyperintensities on cognition. Methods Demographic information, blood pressure, current medication lists, and Montreal Cognitive Assessment ...
Jade Hannan +8 more
wiley +1 more source
Robust Learning from Bites for Data Mining [PDF]
Some methods from statistical machine learning and from robust statistics have two drawbacks. Firstly, they are computer-intensive such that they can hardly be used for massive data sets, say with millions of data points.
Christmann, Andreas +2 more
core
Arthritis Care &Research, EarlyView.Objective Posttraumatic osteoarthritis (PTOA) accounts for nearly 12% of osteoarthritis incidences and often occurs after anterior cruciate ligament (ACL) tear. Ensuring the uptake of preventive treatments for PTOA requires that investigators and clinicians understand factors influencing patients to seek preventive therapies.
Lily M. Waddell +10 more
wiley +1 more source
Revstat Statistical Journal, 2014 There is a vast literature on robust estimators, but in some situations it is still not easy to make inferences, such as confidence regions and hypothesis testing. This is mainly due to the following facts.
Conceição Amado +3 more
doaj +1 more source
On randomized confidence intervals for the binomial probability [PDF]
arXiv, 2013 Suppose that X_1,X_2,...,X_n are independent and identically Bernoulli(theta) distributed. Also suppose that our aim is to find an exact confidence interval for theta that is the intersection of a 1-\alpha/2 upper confidence interval and a 1-\alpha/2 lower confidence interval.
arxiv
Arthritis Care &Research, EarlyView.Objective We aimed to assess differences in baseline characteristics, efficacy, and safety of advanced therapies between male and female patients with axial spondyloarthritis (axSpA) in randomized controlled trials (RCTs). Methods We conducted a systematic literature search for RCTs assessing the efficacy of advanced therapies in patients with axSpA ...
Angel Gao +5 more
wiley +1 more source
Estimators of the multiple correlation coefficient: local robustness and confidence intervals. [PDF]
Many robust regression estimators are defined by minimizing a measure of spread of the residuals. An accompanying R-2-measure, or multiple correlation coefficient, is then easily obtained.
Croux, Christophe, Dehon, C
core
On the Effect of Bias Estimation on Coverage Accuracy in Nonparametric Inference
, 2018 Nonparametric methods play a central role in modern empirical work. While they provide inference procedures that are more robust to parametric misspecification bias, they may be quite sensitive to tuning parameter choices.
Calonico, Sebastian +2 more
core +2 more sources
Arthritis Care &Research, EarlyView.Objective The aim of this study was to apply sequence analysis (SA) to phenotype health care patterns of adult patients with musculoskeletal (MSK) conditions using primary care electronic health records and to investigate the association between these health care patterns and patients’ self‐reported outcomes after consultation.
Smitha Mathew +6 more
wiley +1 more source