GetReal in network meta‐analysis: a review of the methodology

O Efthimiou, TPA Debray… - Research synthesis …, 2016 - Wiley Online Library
Pairwise meta‐analysis is an established statistical tool for synthesizing evidence from
multiple trials, but it is informative only about the relative efficacy of two specific …

Procedure-specific pain management (PROSPECT)–an update

B Lee, SA Schug, GP Joshi, H Kehlet, H Beloeil… - Best Practice & …, 2018 - Elsevier
Post-operative pain management protocols may be optimised by examining procedure-
specific evidence and outcomes. This recognition led to the formation of the PROcedure …

Combining one-sample confidence procedures for inference in the two-sample case

MP Fay, MA Proschan, E Brittain - Biometrics, 2015 - academic.oup.com
We present a simple general method for combining two one-sample confidence procedures
to obtain inferences in the two-sample problem. Some applications give striking connections …

Nonparametric fusion learning for multiparameters: Synthesize inferences from diverse sources using data depth and confidence distribution

D Liu, RY Liu, M Xie - Journal of the American Statistical …, 2022 - Taylor & Francis
Fusion learning refers to synthesizing inferences from multiple sources or studies to make a
more effective inference and prediction than from any individual source or study alone. Most …

A distributed and integrated method of moments for high-dimensional correlated data analysis

EC Hector, PXK Song - Journal of the American Statistical …, 2021 - Taylor & Francis
This article is motivated by a regression analysis of electroencephalography (EEG)
neuroimaging data with high-dimensional correlated responses with multilevel nested …

Meta‐analysis framework for exact inferences with application to the analysis of rare events

G Yang, D Liu, J Wang, M Xie - Biometrics, 2016 - Wiley Online Library
The usefulness of meta‐analysis has been recognized in the evaluation of drug safety, as a
single trial usually yields few adverse events and offers limited information. For rare events …

On an inferential model construction using generalized associations

R Martin - Journal of Statistical Planning and Inference, 2018 - Elsevier
The inferential model (IM) approach, like fiducial and its generalizations, depends on a
representation of the data-generating process. Here, a particular variation on the IM …

Exact inference on meta-analysis with generalized fixed-effects and random-effects models

S Liu, L Tian, S Lee, M Xie - Biostatistics & Epidemiology, 2018 - Taylor & Francis
Meta-analysis with fixed-effects and random-effects models provides a general framework
for quantitatively summarizing multiple comparative studies. However, a majority of the …

Joint integrative analysis of multiple data sources with correlated vector outcomes

EC Hector, PXK Song - The Annals of Applied Statistics, 2022 - projecteuclid.org
Joint integrative analysis of multiple data sources with correlated vector outcomes Page 1
The Annals of Applied Statistics 2022, Vol. 16, No. 3, 1700–1717 https://doi.org/10.1214/21-AOAS1563 …

Meta‐analysis of diagnostic tests accounting for disease prevalence: a new model using trivariate copulas

A Hoyer, O Kuss - Statistics in medicine, 2015 - Wiley Online Library
In real life and somewhat contrary to biostatistical textbook knowledge, sensitivity and
specificity (and not only predictive values) of diagnostic tests can vary with the underlying …