John B. Carlin

发表

David B. Dunson, Hal S. Stern, Andrew Gelman, 2013 .

Multiple imputation for missing data in a longitudinal cohort study: a tutorial based on a detailed case study involving imputation of missing outcome data

John B. Carlin, Katherine J. Lee, Gehan Roberts, 2016 .

CHAPMAN & HALL/CRC Texts in Statistical Science Series

Hal S. Stern, Jeff Harrison, Donald B. Rubin, 2002 .

Connections and challenges

Hal S. Stern, Andrew Gelman, Donald B. Rubin, 1995 .

Asymptotics and connections to non-Bayesian approaches

David B. Dunson, Hal S. Stern, Andrew Gelman, 2013 .

A New Framework for Managing and Analyzing Multiply Imputed Data in Stata

Patrick Royston, John B. Carlin, John C. Galati, 2008 .

Models for robust inference

David B. Dunson, Aki Vehtari, Hal S. Stern, 1995 .

Evaluation of a weighting approach for performing sensitivity analysis after multiple imputation

John B. Carlin, Katherine J. Lee, Panteha Hayati Rezvan, 2015, BMC Medical Research Methodology.

Multiple Imputation of Missing Values: New Features for Mim

Patrick Royston, John B. Carlin, Ian R. White, 2009 .

Multiple imputation needs to be used with care and reported in detail

John B. Carlin, James R. Carpenter, J. Carlin, 2017 .

Models for potentially biased evidence in meta‐analysis using empirically based priors

Douglas G. Altman, Nicky J Welton, Ae Ades, 2009 .

Evaluation of approaches for multiple imputation of three-level data

John B. Carlin, Katherine J. Lee, Margarita Moreno-Betancur, 2020, BMC Medical Research Methodology.

Model checking in multiple imputation: an overview and case study

John B. Carlin, Katherine J. Lee, Cattram D. Nguyen, 2017, Emerging Themes in Epidemiology.

Overview of computation

Hal S. Stern, Andrew Gelman, Donald B. Rubin, 1995 .

Models for missing data

David B. Dunson, Hal S. Stern, Andrew Gelman, 2013 .

MIMSTACK: Stata module to stack multiply-imputed datasets into format required by mim

Patrick Royston, John B. Carlin, John C. Galati, 2008 .

On models and methods for Bayesian time series analysis

John B. Carlin, A. P Dempster, A. B Jonas, 1985 .

Hierarchical linear models

David B. Dunson, Aki Vehtari, Hal S. Stern, 1995 .

Large-sample inference and frequency properties of Bayesian inference

Hal S. Stern, Donald B. Rubin, John B. Carlin, 1995 .

Evaluation of approaches for accommodating interactions and non‐linear terms in multiple imputation of incomplete three‐level data

John B. Carlin, Margarita Moreno-Betancur, Rushani Wijesuriya, 2020, Biometrical journal. Biometrische Zeitschrift.

Bayesian data analysis, third edition

David B. Dunson, Aki Vehtari, Hal S. Stern, 2013 .

Bayesian projection of the acquired immune deficiency syndrome epidemic

Susan R. Wilson, Niels Keiding, Ingrid K. Glad, 2002 .

Computationally efficient Markov chain simulation

David B. Dunson, Hal S. Stern, Andrew Gelman, 2013 .

MIM: Stata module to analyse and manipulate multiply imputed datasets

Patrick Royston, John B. Carlin, John C. Galati, 2013 .

A new architecture for handling multiply imputed data in Stata

Patrick Royston, John B. Carlin, John C. Galati, 2007 .

Bayesian Data Analysis

David B. Dunson, Aki Vehtari, Hal S. Stern, 2010 .

Introduction to multiparameter models

David B. Dunson, Hal S. Stern, Andrew Gelman, 2013 .

Special topics in computation

Hal S. Stern, Andrew Gelman, Donald B. Rubin, 1995 .

Gaussian process models

David B. Dunson, Hal S. Stern, Andrew Gelman, 2013 .

Basics of Markov chain simulation

David B. Dunson, Hal S. Stern, Andrew Gelman, 2013 .

Tools for Analyzing Multiple Imputed Datasets

Ning Li, John B. Carlin, Philip Greenwood, 2003 .

1223Handling missing data for causal effect estimation in cohort studies using Targeted Maximum Likelihood Estimation

John B. Carlin, Margarita Moreno-Betancur, Ian R. White, 2021, International Journal of Epidemiology.

Handling missing data when estimating causal effects with Targeted Maximum Likelihood Estimation

John B. Carlin, Margarita Moreno-Betancur, Ian R. White, 2021 .

INORM: Stata module to perform multiple imputation using Schafer's method

John B. Carlin, John C. Galati, 2009 .

Adolescent dieting: healthy weight control or borderline eating disorder?

John B. Carlin, Rob Selzer, George C. Patton, 1997, Journal of child psychology and psychiatry, and allied disciplines.

Bias and efficiency of multiple imputation compared with complete‐case analysis for missing covariate values

John B. Carlin, Ian R. White, J. Carlin, 2010, Statistics in medicine.

Clinical signs that predict severe illness in children underage 2 months: a multicentre study

John B. Carlin, Davidson H. Hamer, Gary L. Darmstadt, 2008 .

Sensitivity Analysis of Seasonal Adjustments: Empirical Case Studies

John B. Carlin, Arthur P. Dempster, J. Carlin, 1989 .

AN ALGORITHMIC APPROACH TO BAYESIAN LINEAR MODEL CALCULATIONS

John B. Carlin, 1990 .

The Intra‐Cluster Correlation Coefficient in Cluster Randomized Trials: A Review of Definitions

John B. Carlin, Obioha C. Ukoumunne, Sandra Eldridge, 2009 .

Clinical prediction of serious bacterial infections in young infants in developing countries. The WHO Young Infants Study Group.

John B. Carlin, Peter A. Margolis, Peter Byass, 1999, The Pediatric infectious disease journal.

Statistics for clinicians: 7: Sample size

John B. Carlin, Lex W. Doyle, J. Carlin, 2002 .

Some Natural Solutions to the p-Value Communication Problem—and Why They Won’t Work

John B. Carlin, Andrew Gelman, J. Carlin, 2017 .