Comparing methods for estimating patient‐specific treatment effects in individual patient data meta‐analysis
Published 2020 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Comparing methods for estimating patient‐specific treatment effects in individual patient data meta‐analysis
Authors
Keywords
-
Journal
STATISTICS IN MEDICINE
Volume -, Issue -, Pages -
Publisher
Wiley
Online
2020-12-28
DOI
10.1002/sim.8859
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Bayesian variable selection based on clinical relevance weights in small sample studies-Application to colon cancer
- (2019) Sandrine Boulet et al. STATISTICS IN MEDICINE
- Exploratory analyses of effect modifiers in the antidepressant treatment of major depression: Individual-participant data meta-analysis of 2803 participants in seven placebo-controlled randomized trials
- (2019) Hisashi Noma et al. JOURNAL OF AFFECTIVE DISORDERS
- Drug-eluting or bare-metal stents for percutaneous coronary intervention: a systematic review and individual patient data meta-analysis of randomised clinical trials
- (2019) Raffaele Piccolo et al. LANCET
- Variable selection - A review and recommendations for the practicing statistician
- (2018) Georg Heinze et al. BIOMETRICAL JOURNAL
- Meta-analytical methods to identify who benefits most from treatments: daft, deluded, or deft approach?
- (2017) David J Fisher et al. BMJ-British Medical Journal
- Meta-analytical methods to identify who benefits most from treatments: daft, deluded, or deft approach?
- (2017) David J Fisher et al. BMJ-British Medical Journal
- Power analysis for random-effects meta-analysis
- (2017) Dan Jackson et al. Research Synthesis Methods
- Exact post-selection inference, with application to the lasso
- (2016) Jason D. Lee et al. ANNALS OF STATISTICS
- Global, Parameterwise and Joint Shrinkage Factor Estimation
- (2016) Daniela Dunkler et al. Journal of Statistical Software
- Exact Post-Selection Inference for Sequential Regression Procedures
- (2016) Ryan J. Tibshirani et al. JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION
- One-stage individual participant data meta-analysis models: estimation of treatment-covariate interactions must avoid ecological bias by separating out within-trial and across-trial information
- (2016) Hairui Hua et al. STATISTICS IN MEDICINE
- Meta-analysis using individual participant data: one-stage and two-stage approaches, and why they may differ
- (2016) Danielle L. Burke et al. STATISTICS IN MEDICINE
- GetReal in network meta-analysis: a review of the methodology
- (2016) Orestis Efthimiou et al. Research Synthesis Methods
- Predictive distributions were developed for the extent of heterogeneity in meta-analyses of continuous outcome data
- (2015) Kirsty M. Rhodes et al. JOURNAL OF CLINICAL EPIDEMIOLOGY
- Fitting Linear Mixed-Effects Models Usinglme4
- (2015) Douglas Bates et al. Journal of Statistical Software
- Get real in individual participant data (IPD) meta-analysis: a review of the methodology
- (2015) Thomas P. A. Debray et al. Research Synthesis Methods
- Regularization Paths for Generalized Linear Models via Coordinate Descent
- (2015) Jerome Friedman et al. Journal of Statistical Software
- mice: Multivariate Imputation by Chained Equations inR
- (2015) Stef van Buuren et al. Journal of Statistical Software
- Systematic review of methods for individual patient data meta- analysis with binary outcomes
- (2014) Doneal Thomas et al. BMC Medical Research Methodology
- Predictive distributions for between-study heterogeneity and simple methods for their application in Bayesian meta-analysis
- (2014) Rebecca M. Turner et al. STATISTICS IN MEDICINE
- Individual Participant Data Meta-Analysis for a Binary Outcome: One-Stage or Two-Stage?
- (2013) Thomas P. A. Debray et al. PLoS One
- On Bayesian lasso variable selection and the specification of the shrinkage parameter
- (2012) Anastasia Lykou et al. STATISTICS AND COMPUTING
- Variable selection for generalized linear mixed models by L 1-penalized estimation
- (2012) Andreas Groll et al. STATISTICS AND COMPUTING
- Bootstrapping Lasso Estimators
- (2011) A. Chatterjee et al. JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION
- The Bayesian Lasso
- (2008) Trevor Park et al. JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION
Find the ideal target journal for your manuscript
Explore over 38,000 international journals covering a vast array of academic fields.
SearchBecome a Peeref-certified reviewer
The Peeref Institute provides free reviewer training that teaches the core competencies of the academic peer review process.
Get Started