Pulmonary Fibrosis Stakeholder Summit: A Joint NHLBI, Three Lakes Foundation, and Pulmonary Fibrosis Foundation Workshop Report
SB Montesi, CR Gomez, M Beers, R Brown… - American Journal of …, 2024 - atsjournals.org
Despite progress in elucidation of disease mechanisms, identification of risk factors,
biomarker discovery, and the approval of two medications to slow lung function decline in …
biomarker discovery, and the approval of two medications to slow lung function decline in …
Multiple-model-based robust estimation of causal treatment effect on a binary outcome with integrated information from secondary outcomes
An assessment of the causal treatment effect in the development and progression of certain
diseases is important in clinical trials and biomedical studies. However, it is not possible to …
diseases is important in clinical trials and biomedical studies. However, it is not possible to …
An efficient data integration scheme for synthesizing information from multiple secondary datasets for the parameter inference of the main analysis
Many observational studies and clinical trials collect various secondary outcomes that may
be highly correlated with the primary endpoint. These secondary outcomes are often …
be highly correlated with the primary endpoint. These secondary outcomes are often …
Online Data Collection for Efficient Semiparametric Inference
While many works have studied statistical data fusion, they typically assume that the various
datasets are given in advance. However, in practice, estimation requires difficult data …
datasets are given in advance. However, in practice, estimation requires difficult data …
Integrating external summary information in the presence of prior probability shift: an application to assessing essential hypertension
Recent years have witnessed a rise in the popularity of information integration without
sharing of raw data. By leveraging and incorporating summary information from external …
sharing of raw data. By leveraging and incorporating summary information from external …
Robust integration of secondary outcomes information into primary outcome analysis in the presence of missing data
DAQIDGQ Deng, VM Chinchilli… - … Methods in Medical …, 2024 - journals.sagepub.com
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12pt]?> In clinical and observational studies, secondary outcomes are frequently collected …
12pt]?> In clinical and observational studies, secondary outcomes are frequently collected …
Synthesizing secondary data into survival analysis to improve estimation efficiency
The accelerated failure time (AFT) model and Cox proportional hazards (PH) model are
broadly used for survival endpoints of primary interest. However, the estimation efficiency …
broadly used for survival endpoints of primary interest. However, the estimation efficiency …
Leveraging information from secondary endpoints to enhance dynamic borrowing across subpopulations
Randomized trials seek efficient treatment effect estimation within target populations, yet
scientific interest often also centers on subpopulations. Although there are typically too few …
scientific interest often also centers on subpopulations. Although there are typically too few …
Commentary on Chen et al.(2022): The need for continued methodological research on leveraging information in secondary endpoints for more efficient RCTs
Abstract Chen et al.(2022) recently proposed a set of estimating equations that incorporate
data from secondary endpoints to improve precision in parameter estimates related to a …
data from secondary endpoints to improve precision in parameter estimates related to a …
Integrative data analysis where partial covariates have complex non-linear effects by using summary information from an external data
A full parametric and linear specification may be insufficient to capture complicated patterns
in studies exploring complex features, such as those investigating age-related changes in …
in studies exploring complex features, such as those investigating age-related changes in …