A new approach to hierarchical data analysis: Targeted maximum likelihood estimation for the causal effect of a cluster-level exposure

ltmle: An R Package Implementing Targeted Minimum Loss-Based Estimation for Longitudinal Data

(2017) Samuel D. Lendle et al.   Journal of Statistical Software

Accounting for interactions and complex inter-subject dependency in estimating treatment effect in cluster-randomized trials with missing outcomes

(2016) Melanie Prague et al.   BIOMETRICS

Adaptive pre-specification in randomized trials with and without pair-matching

(2016) Laura B. Balzer et al.   STATISTICS IN MEDICINE

Botswana's progress toward achieving the 2020 UNAIDS 90-90-90 antiretroviral therapy and virological suppression goals: a population-based survey

(2016) Tendani Gaolathe et al.   Lancet HIV

A hybrid mobile approach for population-wide HIV testing in rural east Africa: an observational study

(2016) Gabriel Chamie et al.   Lancet HIV

Initiation of Antiretroviral Therapy in Early Asymptomatic HIV Infection

(2015)   NEW ENGLAND JOURNAL OF MEDICINE

A Trial of Early Antiretrovirals and Isoniazid Preventive Therapy in Africa

(2015)   NEW ENGLAND JOURNAL OF MEDICINE

Multivariate and Propensity Score Matching Software with Automated Balance Optimization: TheMatchingPackage forR

(2015) Jasjeet S. Sekhon   Journal of Statistical Software

tmle: AnRPackage for Targeted Maximum Likelihood Estimation

(2015) Susan Gruber et al.   Journal of Statistical Software

Effect of breastfeeding on gastrointestinal infection in infants: A targeted maximum likelihood approach for clustered longitudinal data

(2014) Mireille E. Schnitzer et al.   Annals of Applied Statistics

Locally Efficient Estimation of Marginal Treatment Effects When Outcomes Are Correlated: Is the Prize Worth the Chase?

(2014) Alisa Stephens et al.  

Review of methods for handling confounding by cluster and informative cluster size in clustered data

(2014) Shaun Seaman et al.   STATISTICS IN MEDICINE

Inverse probability weighting for covariate adjustment in randomized studies

(2013) Changyu Shen et al.   STATISTICS IN MEDICINE

Augmented generalized estimating equations for improving efficiency and validity of estimation in cluster randomized trials by leveraging cluster-level and individual-level covariates

(2012) Alisa J. Stephens et al.   STATISTICS IN MEDICINE

Implementation of G-Computation on a Simulated Data Set: Demonstration of a Causal Inference Technique

(2011) Jonathan M. Snowden et al.   AMERICAN JOURNAL OF EPIDEMIOLOGY

Prevention of HIV-1 Infection with Early Antiretroviral Therapy

(2011) Myron S. Cohen et al.   NEW ENGLAND JOURNAL OF MEDICINE

Stochastic blockmodels and community structure in networks

(2011) Brian Karrer et al.   PHYSICAL REVIEW E

To GEE or Not to GEE

(2010) Alan E. Hubbard et al.   EPIDEMIOLOGY

A Study of Clustered Data and Approaches to Its Analysis

(2010) S. Galbraith et al.   JOURNAL OF NEUROSCIENCE

Intervening on risk factors for coronary heart disease: an application of the parametric g-formula

(2009) Sarah L Taubman et al.   INTERNATIONAL JOURNAL OF EPIDEMIOLOGY

Toward Causal Inference With Interference

(2008) Michael G Hudgens et al.   JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION

Covariate adjustment in randomized trials with binary outcomes: Targeted maximum likelihood estimation

(2008) K. L. Moore et al.   STATISTICS IN MEDICINE

Fixed effects, random effects and GEE: What are the differences?

(2008) Joseph C. Gardiner et al.   STATISTICS IN MEDICINE

Covariate adjustment for two-sample treatment comparisons in randomized clinical trials: A principled yet flexible approach

(2007) Anastasios A. Tsiatis et al.   STATISTICS IN MEDICINE