J. Hughes

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Logistic regression when the outcome is measured with uncertainty.

L. Magder, J. Hughes, James P Hughes, 1997, American journal of epidemiology.

Discrete Proportional Hazards Models for Mismeasured Outcomes

J. Hughes, A. Meier, B. Richardson, 2003, Biometrics.

A multiview model for relative and absolute microbial abundances

J. Hughes, J. Hughes, B. Williamson, 2019, bioRxiv.

Mixed Effects Models with Censored Data with Application to HIV RNA Levels

J. Hughes, J P Hughes, James P Hughes, 1999, Biometrics.

Model validation and assessment of uncertainty in adeterministic model for gonorrheaGeof

G. Givens, J. Hughes, H. Givens, 1995 .

Intra-cluster correlations from the CLustered OUtcome Dataset bank to inform the design of longitudinal cluster trials

M. Taljaard, J. Hughes, T. Haines, 2021, Clinical trials.

Evaluation of multiple interventions using a stepped wedge design

J. Hughes, A. Rowhani-Rahbar, Vivian H. Lyons, 2017 .

Direct and Indirect Effects of a Project ECHO Longitudinal Clinical Tele-Mentoring Program on Viral Suppression for Persons With HIV: A Population-Based Analysis

Brian R Wood, R. Lechtenberg, T. Menza, 2022, Journal of acquired immune deficiency syndromes.

Residual Effect of Texting to Promote Medication Adherence for Villagers with Schizophrenia in China: 18-Month Follow-up Survey After the Randomized Controlled Trial Discontinuation

Y. Hao, J. Hughes, J. Simoni, 2022, JMIR mHealth and uHealth.

Genomic surveillance of SARS-CoV-2 Omicron variants on a university campus

J. Shendure, D. Nickerson, A. Casto, 2022, Nature Communications.

Prediction‐driven pooled testing methods: Application to HIV treatment monitoring in Rakai, Uganda

J. Hughes, G. Nakigozi, S. Reynolds, 2021, Statistics in medicine.

SARS-CoV-2 Screening Testing in Schools: A Comparison of School- Vs. Home-Based Collection Methods

J. Shendure, D. Nickerson, L. Starita, 2022, Journal of the Pediatric Infectious Diseases Society.

Trends and factors associated with change in COVID-19 vaccination intent among residents and staff in six Seattle homeless shelters, March 2020 to August 2021

J. Hughes, M. Rolfes, E. Mosites, 2022, Vaccine: X.

Current issues in the design and analysis of stepped wedge trials.

P. Heagerty, J. Hughes, T. Granston, 2015, Contemporary clinical trials.

Evaluating group-sequential non-inferiority clinical trials following interim stopping: The HIV Prevention Trials Network 083 trial

T. Fleming, J. Hughes, S. Emerson, 2022, Clinical trials.

Analysis of liquid bead microarray antibody assay data for epidemiologic studies of pathogen-cancer associations.

J. Potter, R. Bostick, D. Colombara, 2015, Journal of immunological methods.

Trends in COVID-19 vaccination intent and factors associated with deliberation and reluctance among adult homeless shelter residents and staff, 1 November 2020 to 28 February 2021 – King County, Washington

T. Uyeki, J. Hughes, M. Boeckh, 2021, Vaccine.

Power and sample size calculation for stepped-wedge designs with discrete outcomes

P. Heagerty, J. Hughes, Fan Xia, 2021, Trials.

Estimating the Accuracy of Polymerase Chain Reaction–Based Tests Using Endpoint Dilution

J. Hughes, P. Totten, James P Hughes, 2003, Biometrics.

Estimating benefits of using on-demand oral prep by MSM: A comparative modeling study of the US and Thailand

J. Hughes, M. Boily, D. Dimitrov, 2022, EClinicalMedicine.

Simulations for designing and interpreting intervention trials in infectious diseases

Alessandro Vespignani, Jukka-Pekka Onnela, Marc Lipsitch, 2017, bioRxiv.

Sample size calculation for active-arm trial with counterfactual incidence based on recency assay

Fei Gao, David V. Glidden, James P. Hughes, 2020, Statistical communications in infectious diseases.

rigr: Regression, Inference, and General Data Analysis Tools in R

J. Hughes, S. Emerson, Charles J Wolock, 2022, J. Open Source Softw..

Proposed variations of the stepped-wedge design can be used to accommodate multiple interventions.

James P Hughes, Lingyu Li, Ali Rowhani-Rahbar, 2017, Journal of clinical epidemiology.

The validity of self-reported behaviors: methods for estimating underreporting of risk behaviors.

J. Hughes, K. R. Amico, M. Norwood, 2016, Annals of epidemiology.

Pushing the bench: A mixed methods study of barriers to and facilitators of identification and referral into depression care by professional nurses in KwaZulu-Natal, South Africa

J. Hughes, D. Rao, J. Simoni, 2021, SSM - mental health.

Combining information to estimate adherence in studies of pre‐exposure prophylaxis for HIV prevention: Application to HPTN 067

J. Wakefield, T. Holtz, R. Grant, 2022, Statistics in medicine.

Adaptive non-inferiority margins under observable non-constancy

James P Hughes, Brett Hanscom, Brian D Williamson, 2018, Statistical methods in medical research.

Applications of continuous time hidden Markov models to the study of misclassified disease outcomes

Alexandre Bureau, James P Hughes, Stephen Shiboski, 2003, Statistics in medicine.

Proceedings of the First International Conference on Stepped Wedge Trial Design

Karla Hemming, Antonio Gasparrini, Laura J. Gray, 2016, Trials.

Analysis of stepped wedge cluster randomized trials in the presence of a time‐varying treatment effect

Patrick J. Heagerty, Avi Kenny, James P. Hughes, 2021, Statistics in medicine.

Mixed-effects models for the design and analysis of stepped wedge cluster randomized trials: An overview

Karla Hemming, Fan Li, Edward R Melnick, 2020, Statistical methods in medical research.

A Simulation Study of Statistical Approaches to Data Analysis in the Stepped Wedge Design

P. Heagerty, J. Hughes, Yuqi Ren, 2019, Statistics in Biosciences.

Using baseline data to design a group randomized trial

J. Hughes, J. Hughes, James P Hughes, 2005, Statistics in medicine.

Design of the HIV Prevention Trials Network (HPTN) Protocol 054: A cluster randomized crossover trial to evaluate combined access to Nevirapine in developing countries

Jeffrey S. A. Stringer, James P. Hughes, J. Stringer, 2003 .

Random effect misspecification in stepped wedge designs

P. Heagerty, J. Hughes, Fan Xia, 2022, Clinical trials.

Model misspecification in stepped wedge trials: Random effects for time or treatment

P. Heagerty, J. Hughes, Fan Xia, 2022, Statistics in medicine.

Extending the I-squared statistic to describe treatment effect heterogeneity in cluster, multi-centre randomized trials and individual patient data meta-analysis

J. McKenzie, J. Hughes, K. Hemming, 2020, Statistical methods in medical research.

A remote household‐based approach to influenza self‐testing and antiviral treatment

L. Starita, T. Uyeki, J. Hughes, 2021, medRxiv.

An integrated approach to improve maternal and perinatal outcomes in rural Guatemala: A stepped‐wedge cluster randomized trial

J. Hughes, K. Hemming, E. Kestler, 2020, International journal of gynaecology and obstetrics: the official organ of the International Federation of Gynaecology and Obstetrics.

Facilitating Next‐Generation Pre‐Exposure Prophylaxis Clinical Trials Using HIV Recent Infection Assays: A Consensus Statement from the Forum HIV Prevention Trial Design Project

D. Glidden, V. Miller, J. Hughes, 2022, Clinical pharmacology and therapeutics.

Adjusting for Incomplete Baseline Covariates in Randomized Controlled Trials: A Cross-World Imputation Framework

J. Hughes, T. Ye, Yilin Song, 2023, 2302.01269.

Bayesian validation framework for dynamic epidemic models

J. Hughes, D. Dimitrov, Sayan Dasgupta, 2021, Epidemics.

Regression to the mean and changes in risk behavior following study enrollment in a cohort of U.S. women at risk for HIV.

A. Adimora, J. Justman, J. Hughes, 2015, Annals of epidemiology.