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Regression-based estimation of heterogeneous treatment effects when extending inferences from a randomized trial to a target population

European journal of epidemiology, 2023-02, Vol.38 (2), p.123-133

2023

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Causally Interpretable Meta-analysis: Application in Adolescent HIV Prevention

Prevention science, 2022-04, Vol.23 (3), p.403-414

2022

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Empirical comparison of analytical approaches for identifying molecular HIV-1 clusters

Scientific reports, 2020-10, Vol.10 (1), p.18547-18547, Article 18547

2020

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Extending prediction models for use in a new target population with failure time outcomes

Biostatistics (Oxford, England), 2023-07, Vol.24 (3), p.728-742

Steingrimsson, Jon A

2023

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An Automated Bioinformatics Pipeline Informing Near-Real-Time Public Health Responses to New HIV Diagnoses in a Statewide HIV Epidemic

Viruses, 2023-03, Vol.15 (3), p.737

2023

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Integrated community-based HIV and non-communicable disease care within microfinance groups in Kenya: study protocol for the Harambee cluster randomised trial

BMJ open, 2021-05, Vol.11 (5), p.e042662-e042662

2021

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Extending inferences from a randomized trial to a new target population

Statistics in medicine, 2020-06, Vol.39 (14), p.1999-2014

2020

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Transporting a Prediction Model for Use in a New Target Population

American journal of epidemiology, 2023-02, Vol.192 (11), p.1845-1853

2023

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Estimating the area under the ROC curve when transporting a prediction model to a target population

Biometrics, 2023-09, Vol.79 (3), p.2382-2393

2023

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Causal interaction trees: Finding subgroups with heterogeneous treatment effects in observational data

Biometrics, 2022-06, Vol.78 (2), p.624-635

2022

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Addressing Systematic Missing Data in the Context of Causally Interpretable Meta-analysis

Prevention science, 2023-11, Vol.24 (8), p.1648-1658

2023

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Using Numerical Methods to Design Simulations: Revisiting the Balancing Intercept

American journal of epidemiology, 2022-06, Vol.191 (7), p.1283-1289

2022

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RE: USING NUMERICAL METHODS TO DESIGN SIMULATIONS: REVISITING THE BALANCING INTERCEPT

American journal of epidemiology, 2022-09, Vol.191 (10), p.1834-1835

2022

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Learning about treatment effects in a new target population under transportability assumptions for relative effect measures

European journal of epidemiology, 2024-05

2024

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Toward Causally Interpretable Meta-analysis: Transporting Inferences from Multiple Randomized Trials to a New Target Population

Epidemiology (Cambridge, Mass.), 2020-05, Vol.31 (3), p.334-344

2020

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Linking Structural Racism and Discrimination and Breast Cancer Outcomes: A Social Genomics Approach

Journal of clinical oncology, 2022-05, Vol.40 (13), p.1407-1413

2022

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Estimating Subgroup Effects in Generalizability and Transportability Analyses

American journal of epidemiology, 2024-01, Vol.193 (1), p.149-158

2024

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Efficient and robust methods for causally interpretable meta‐analysis: Transporting inferences from multiple randomized trials to a target population

Biometrics, 2023-06, Vol.79 (2), p.1057-1072

2023

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Cluster Randomized Trials Designed to Support Generalizable Inferences

Evaluation review, 2024-01, p.193841X231169557-193841X231169557

2024

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Systematically missing data in causally interpretable meta-analysis

Biostatistics (Oxford, England), 2024-04, Vol.25 (2), p.289-305

2024

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Tree-based subgroup discovery using electronic health record data: heterogeneity of treatment effects for DTG-containing therapies

Biostatistics (Oxford, England), 2024-04, Vol.25 (2), p.323-335

2024

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Comparison of Low-Value Care Among Commercial and Medicaid Enrollees

Journal of general internal medicine : JGIM, 2023-03, Vol.38 (4), p.954-960

2023

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Characterising patterns of alcohol use among heavy drinkers: A cluster analysis utilising alcohol biosensor data

Drug and alcohol review, 2021-11, Vol.40 (7), p.1155-1164

2021

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Comparing Lung Cancer Screening Strategies in a Nationally Representative US Population Using Transportability Methods for the National Lung Cancer Screening Trial

JAMA network open, 2024-01, Vol.7 (1), p.e2346295-e2346295

2024

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Regression-based estimation of heterogeneous treatment effects when extending inferences from a randomized trial to a target population

Causally Interpretable Meta-analysis: Application in Adolescent HIV Prevention

Empirical comparison of analytical approaches for identifying molecular HIV-1 clusters

Extending prediction models for use in a new target population with failure time outcomes

An Automated Bioinformatics Pipeline Informing Near-Real-Time Public Health Responses to New HIV Diagnoses in a Statewide HIV Epidemic

Beyond HIV outbreaks: protocol, rationale and implementation of a prospective study quantifying the benefit of incorporating viral sequence clustering analysis into routine public health interventions

Integrated community-based HIV and non-communicable disease care within microfinance groups in Kenya: study protocol for the Harambee cluster randomised trial

Extending inferences from a randomized trial to a new target population

Transporting a Prediction Model for Use in a New Target Population

Estimating the area under the ROC curve when transporting a prediction model to a target population

Causal interaction trees: Finding subgroups with heterogeneous treatment effects in observational data

Addressing Systematic Missing Data in the Context of Causally Interpretable Meta-analysis

Using Numerical Methods to Design Simulations: Revisiting the Balancing Intercept

RE: USING NUMERICAL METHODS TO DESIGN SIMULATIONS: REVISITING THE BALANCING INTERCEPT

Learning about treatment effects in a new target population under transportability assumptions for relative effect measures

Toward Causally Interpretable Meta-analysis: Transporting Inferences from Multiple Randomized Trials to a New Target Population

Linking Structural Racism and Discrimination and Breast Cancer Outcomes: A Social Genomics Approach

Estimating Subgroup Effects in Generalizability and Transportability Analyses

Efficient and robust methods for causally interpretable meta‐analysis: Transporting inferences from multiple randomized trials to a target population

Cluster Randomized Trials Designed to Support Generalizable Inferences

Systematically missing data in causally interpretable meta-analysis

Tree-based subgroup discovery using electronic health record data: heterogeneity of treatment effects for DTG-containing therapies

Comparison of Low-Value Care Among Commercial and Medicaid Enrollees

Characterising patterns of alcohol use among heavy drinkers: A cluster analysis utilising alcohol biosensor data

Comparing Lung Cancer Screening Strategies in a Nationally Representative US Population Using Transportability Methods for the National Lung Cancer Screening Trial

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