Výsledky vyhledávání - "Spiegelman Donna"

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Power and Sample Size Calculations for Cluster Randomized Hybrid Type 2 Effectiveness-Implementation Studies

Autor: Owen, Melody A., Curran, Geoffrey M., Smith, Justin D., Tedla, Yacob, Cheng, Chao, Spiegelman, Donna

Hybrid studies allow investigators to simultaneously study an intervention effectiveness outcome and an implementation research outcome. In particular, type 2 hybrid studies support research that places equal importance on both outcomes rather than f

Externí odkaz: http://arxiv.org/abs/2411.08929

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Measurement Error Correction for Spatially Defined Environmental Exposures in Survival Analysis

Autor: Ge, Lin, Yang, Ce, Zucker, David, Li, Jiaxuan, Spiegelman, Donna, Wang, Molin

Environmental exposures are often defined using buffer zones around geocoded home addresses, but these static boundaries can miss dynamic daily activity patterns, leading to biased results. This paper presents a novel measurement error correction met

Externí odkaz: http://arxiv.org/abs/2410.09278

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Causal Inference with Double/Debiased Machine Learning for Evaluating the Health Effects of Multiple Mismeasured Pollutants

Autor: Xu, Gang, Zhou, Xin, Wang, Molin, Zhang, Boya, Jiang, Wenhao, Laden, Francine, Suh, Helen H., Szpiro, Adam A., Spiegelman, Donna, Wang, Zuoheng

One way to quantify exposure to air pollution and its constituents in epidemiologic studies is to use an individual's nearest monitor. This strategy results in potential inaccuracy in the actual personal exposure, introducing bias in estimating the h

Externí odkaz: http://arxiv.org/abs/2410.07135

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A Penalized Functional Linear Cox Regression Model for Spatially-defined Environmental Exposure with an Estimated Buffer Distance

Autor: Lee, Jooyoung, He, Zhibing, Roscoe, Charlotte, James, Peter, Xu, Li, Spiegelman, Donna, Zucker, David, Wang, Molin

In environmental health research, it is of interest to understand the effect of the neighborhood environment on health. Researchers have shown a protective association between green space around a person's residential address and depression outcomes.

Externí odkaz: http://arxiv.org/abs/2401.00461

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Causal Covariate Selection for the Imputation-based Regression Calibration Method for Exposure Measurement Error Bias Correction

Autor: Tang, Wenze, Spiegelman, Donna, Wu, Yujie, Wang, Molin

In this paper, we identify the criteria for the selection of the minimal and most efficient covariate adjustment sets for the regression calibration method developed by Carroll, Rupert and Stefanski (CRS, 1992), used to correct bias due to continuous

Externí odkaz: http://arxiv.org/abs/2312.07829

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Estimation and inference for causal spillover effects in egocentric-network randomized trials in the presence of network membership misclassification

Autor: Chao, Ariel, Spiegelman, Donna, Buchanan, Ashley, Forastiere, Laura

To leverage peer influence and increase population behavioral changes, behavioral interventions often rely on peer-based strategies. A common study design that assesses such strategies is the egocentric-network randomized trial (ENRT), in which those

Externí odkaz: http://arxiv.org/abs/2310.02151

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Design of egocentric network-based studies to estimate causal effects under interference

Autor: Fang, Junhan, Spiegelman, Donna, Buchanan, Ashley, Forastiere, Laura

Many public health interventions are conducted in settings where individuals are connected to one another and the intervention assigned to randomly selected individuals may spill over to other individuals they are connected to. In these spillover set

Externí odkaz: http://arxiv.org/abs/2308.00791

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Learn-As-you-GO (LAGO) Trials: Optimizing Treatments and Preventing Trial Failure Through Ongoing Learning

Autor: Bing, Ante, Spiegelman, Donna, Nevo, Daniel, Lok, Judith J.

It is well known that changing the intervention package while a trial is ongoing does not lead to valid inference using standard statistical methods. However, it is often necessary to adapt, tailor, or tweak a complex intervention package in public h

Externí odkaz: http://arxiv.org/abs/2307.06552

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Correcting for bias due to mismeasured exposure in mediation analysis with a survival outcome

Autor: Cheng, Chao, Spiegelman, Donna, Li, Fan

Mediation analysis is widely used in health science research to evaluate the extent to which an intermediate variable explains an observed exposure-outcome relationship. However, the validity of analysis can be compromised when the exposure is measur

Externí odkaz: http://arxiv.org/abs/2304.04868

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