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How a novel partnership, to support rural healthcare teams, changed how we define what it means to be a practicing statistician.
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- Stat, 2022, v. 11, n. 1, p. 1, doi. 10.1002/sta4.533
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Ensemble minimaxity of James‐Stein estimators.
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- Stat, 2022, v. 11, n. 1, p. 1, doi. 10.1002/sta4.532
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An integral model for high‐accuracy and low‐accuracy experiments.
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- Stat, 2022, v. 11, n. 1, p. 1, doi. 10.1002/sta4.531
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Crafting statistical analysis plans: A cross‐discipline approach.
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- Stat, 2022, v. 11, n. 1, p. 1, doi. 10.1002/sta4.528
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A note on centering in subsample selection for linear regression.
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- Stat, 2022, v. 11, n. 1, p. 1, doi. 10.1002/sta4.525
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Powerful nonparametric checks for parametric single‐index quantile models with missing responses.
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- Stat, 2022, v. 11, n. 1, p. 1, doi. 10.1002/sta4.524
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A comprehensive survey of collaborative biostatistics units in academic health centers.
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- Stat, 2022, v. 11, n. 1, p. 1, doi. 10.1002/sta4.521
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The art of translational statistics.
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- Stat, 2022, v. 11, n. 1, p. 1, doi. 10.1002/sta4.519
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Regularized Buckley–James method for right‐censored outcomes with block‐missing multimodal covariates.
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- Stat, 2022, v. 11, n. 1, p. 1, doi. 10.1002/sta4.515
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Collaborative analysis for energy usage monitoring and management on a large university campus.
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- Stat, 2022, v. 11, n. 1, p. 1, doi. 10.1002/sta4.513
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A modified SEIR model with a jump in the transmission parameter applied to COVID‐19 data on Wuhan.
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- Stat, 2022, v. 11, n. 1, p. 1, doi. 10.1002/sta4.511
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Thresholding mean test for functional data with power enhancement.
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- Stat, 2022, v. 11, n. 1, p. 1, doi. 10.1002/sta4.509
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How to write about alternatives to classical hypothesis testing outside of the statistical literature: Approximate Bayesian model selection applied to a biomechanics study.
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- Stat, 2022, v. 11, n. 1, p. 1, doi. 10.1002/sta4.508
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Experiential learning methods for biostatistics students: A model for embedding student interns in academic health centres.
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- Stat, 2022, v. 11, n. 1, p. 1, doi. 10.1002/sta4.506
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Simultaneous confidence bands for nonparametric regression with equal cluster size.
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- Stat, 2022, v. 11, n. 1, p. 1, doi. 10.1002/sta4.504
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Multivariate measurement error models with normal mean‐variance mixture distributions.
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- Stat, 2022, v. 11, n. 1, p. 1, doi. 10.1002/sta4.503
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Determinantal shot noise Cox processes.
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- Stat, 2022, v. 11, n. 1, p. 1, doi. 10.1002/sta4.502
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A note on universal inference.
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- Stat, 2022, v. 11, n. 1, p. 1, doi. 10.1002/sta4.501
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Extrapolation in parametric models with Laplace measurement error.
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- Stat, 2022, v. 11, n. 1, p. 1, doi. 10.1002/sta4.500
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Strong consistency estimators of the Brennan‐Schwartz diffusion process based on martingales approach.
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- Stat, 2022, v. 11, n. 1, p. 1, doi. 10.1002/sta4.499
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Statistical consulting in the healthcare professions: A model of student‐led consulting services.
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- Stat, 2022, v. 11, n. 1, p. 1, doi. 10.1002/sta4.498
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Change‐point analysis when proportional hazards are violated: Time‐to‐decannulation among paediatric tracheostomy patients.
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- Stat, 2022, v. 11, n. 1, p. 1, doi. 10.1002/sta4.497
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Reaping what you SOW: Guidelines and strategies for writing scopes of work for statistical consulting.
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- Stat, 2022, v. 11, n. 1, p. 1, doi. 10.1002/sta4.496
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Asymptotic normality and confidence region for Catoni's Z estimator.
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- Stat, 2022, v. 11, n. 1, p. 1, doi. 10.1002/sta4.495
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Anomaly detection of time series correlations via a novel Lie group structure.
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- Stat, 2022, v. 11, n. 1, p. 1, doi. 10.1002/sta4.494
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A single index model for longitudinal outcomes to optimize individual treatment decision rules.
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- Stat, 2022, v. 11, n. 1, p. 1, doi. 10.1002/sta4.493
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Advice for isolated statisticians collaborating in academic healthcare centre settings.
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- Stat, 2022, v. 11, n. 1, p. 1, doi. 10.1002/sta4.492
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Fallacy of data‐selective inference in modelling networks.
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- Stat, 2022, v. 11, n. 1, p. 1, doi. 10.1002/sta4.491
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High‐dimensional non‐parametric tests for linear asset pricing models.
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- Stat, 2022, v. 11, n. 1, p. 1, doi. 10.1002/sta4.490
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The academic collaborative statistician: Research, training and evaluation.
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- Stat, 2022, v. 11, n. 1, p. 1, doi. 10.1002/sta4.483
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Bayesian group sequential designs for cluster‐randomized trials.
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- Stat, 2022, v. 11, n. 1, p. 1, doi. 10.1002/sta4.487
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Higher order asymptotic refinements in Bell regressions.
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- Stat, 2022, v. 11, n. 1, p. 1, doi. 10.1002/sta4.486
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On the asymptotic properties of a bagging estimator with a massive dataset.
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- Stat, 2022, v. 11, n. 1, p. 1, doi. 10.1002/sta4.485
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Consistency results of the M‐regression function estimator for stationary continuous‐time and ergodic data.
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- Stat, 2022, v. 11, n. 1, p. 1, doi. 10.1002/sta4.484
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Alternative parameterization approaches for modelling risk assessment in the presence of imbalance: An example using parotid malignancy.
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- Stat, 2022, v. 11, n. 1, p. 1, doi. 10.1002/sta4.489
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Minimax optimal high‐dimensional classification using deep neural networks.
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- Stat, 2022, v. 11, n. 1, p. 1, doi. 10.1002/sta4.482
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Collaborative biostatistics and epidemiology in academic medical centres: A survey to assess relationships with health researchers and ethical implications.
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- Stat, 2022, v. 11, n. 1, p. 1, doi. 10.1002/sta4.481
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The virtual consulting company: Teaching statistical consulting through simulated experience.
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- Stat, 2022, v. 11, n. 1, p. 1, doi. 10.1002/sta4.480
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Sparse covariance matrix estimation for ultrahigh dimensional data.
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- Stat, 2022, v. 11, n. 1, p. 1, doi. 10.1002/sta4.479
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On the effect of rounding on hypothesis testing when sample size is large.
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- Stat, 2022, v. 11, n. 1, p. 1, doi. 10.1002/sta4.478
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Family‐wise error rate control in Gaussian graphical model selection via distributionally robust optimization.
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- Stat, 2022, v. 11, n. 1, p. 1, doi. 10.1002/sta4.477
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An approach of Bayesian variable selection for ultrahigh‐dimensional multivariate regression.
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- Stat, 2022, v. 11, n. 1, p. 1, doi. 10.1002/sta4.476
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A divide‐and‐conquer algorithm for core‐periphery identification in large networks.
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- Stat, 2022, v. 11, n. 1, p. 1, doi. 10.1002/sta4.475
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Test of independence for Hilbertian random variables.
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- Stat, 2022, v. 11, n. 1, p. 1, doi. 10.1002/sta4.474
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Flexible multivariate zero to k inflated power series regression model with applications.
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- Stat, 2022, v. 11, n. 1, p. 1, doi. 10.1002/sta4.473
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Asking great questions.
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- Stat, 2022, v. 11, n. 1, p. 1, doi. 10.1002/sta4.471
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The development of a mobile app‐focused deduplication strategy for the Apple Heart Study that informs recommendations for future digital trials.
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- Stat, 2022, v. 11, n. 1, p. 1, doi. 10.1002/sta4.470
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Issue Information.
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- Stat, 2022, v. 11, n. 1, p. 1, doi. 10.1002/sta4.389
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Becoming a JEDI statistician.
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- Stat, 2022, v. 11, n. 1, p. 1, doi. 10.1002/sta4.448
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Covariate-adaptive randomization with variable selection in clinical trials.
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- Stat, 2022, v. 11, n. 1, p. 1, doi. 10.1002/sta4.461
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