---
Biometrics, Ahead of Print. (Source: Biometrics)
Source: Biometrics - February 25, 2018 Category: Biotechnology Source Type: research
Bayesian enhancement two ‐stage design for single‐arm phase II clinical trials with binary and time‐to‐event endpoints
Biometrics, EarlyView. (Source: Biometrics)
Source: Biometrics - February 21, 2018 Category: Biotechnology Source Type: research
---
Biometrics, Ahead of Print. (Source: Biometrics)
Source: Biometrics - February 21, 2018 Category: Biotechnology Source Type: research
A wild bootstrap approach for the Aalen –Johansen estimator
Biometrics, EarlyView. (Source: Biometrics)
Source: Biometrics - February 16, 2018 Category: Biotechnology Source Type: research
---
Biometrics, Ahead of Print. (Source: Biometrics)
Source: Biometrics - February 16, 2018 Category: Biotechnology Source Type: research
An alternative robust estimator of average treatment effect in causal inference
Biometrics, EarlyView. (Source: Biometrics)
Source: Biometrics - February 13, 2018 Category: Biotechnology Source Type: research
Methods for multivariate recurrent event data with measurement error and informative censoring
Biometrics, EarlyView. (Source: Biometrics)
Source: Biometrics - February 13, 2018 Category: Biotechnology Source Type: research
Toward a diagnostic toolkit for linear models with Gaussian ‐process distributed random effects
Biometrics, EarlyView. (Source: Biometrics)
Source: Biometrics - February 13, 2018 Category: Biotechnology Source Type: research
---
Biometrics, Ahead of Print. (Source: Biometrics)
Source: Biometrics - February 13, 2018 Category: Biotechnology Source Type: research
Toward a diagnostic toolkit for linear models with Gaussian ‐process distributed random effects
This article addresses two problems. First, we propose tools for understanding how data determine estimates in these models, using a spectral basis approximation to the GP under which the restricted likelihood is formally identical to the likelihood for a gamma‐errors GLM with identity link. Second, to examine the data's support for a covariate and to understand how adding that covariate moves variation in the outcome y out of the GP and error parts of the fit, we apply a linear‐model diagnostic, the added variable plot (AVP), both to the original observations and to projections of the data onto the spectral basis func...
Source: Biometrics - February 13, 2018 Category: Biotechnology Authors: Maitreyee Bose, James S. Hodges, Sudipto Banerjee Tags: ORIGINAL ARTICLE Source Type: research
Methods for multivariate recurrent event data with measurement error and informative censoring
Summary
In multivariate recurrent event data regression, observation of recurrent events is usually terminated by other events that are associated with the recurrent event processes, resulting in informative censoring. Additionally, some covariates could be measured with errors. In some applications, an instrumental variable is observed in a subsample, namely a calibration sample, which can be applied for bias correction. In this article, we develop two non‐parametric correction approaches to simultaneously correct for the informative censoring and measurement errors in the analysis of multivariate recurrent event data. ...
Source: Biometrics - February 13, 2018 Category: Biotechnology Authors: Hsiang Yu, Yu ‐Jen Cheng, Ching‐Yun Wang Tags: ORIGINAL ARTICLE Source Type: research
Generalized accelerated recurrence time model for multivariate recurrent event data with missing event type
Biometrics, EarlyView. (Source: Biometrics)
Source: Biometrics - February 9, 2018 Category: Biotechnology Source Type: research
---
Biometrics, Ahead of Print. (Source: Biometrics)
Source: Biometrics - February 9, 2018 Category: Biotechnology Source Type: research
