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Additive model for phenotype variances with and without measurement error.

Figshare2015-12-02 更新2026-04-29 收录

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Additive model for phenotype variances with and without measurement error.

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创建时间：

2015-12-02

断点回归分析

测量误差校正

When the running variable in a regression discontinuity (RD) design is measured with error, identification of the local average treatment effect of interest will typically fail. While the form of this

Figshare2020-03-03 更新50

Simulated datasets of "Measurement error in continuous endpoints in randomised trials: problems and solutions"

测量误差校正

统计模拟

This contains files with results of the simulation study in "Measurement error in continuous endpoints: problems and solutions". Five different types of files are saved in this folder, all consist

Figshare2019-04-17 更新40

The Impact of Imses on GEE Evidence

测量误差校正

纵向数据分析

This database contains both the data employed in this study and the data that were not ultimately used. As the data were processed using Stata, all files are stored in the corresponding Stata-compatib

DataCite Commons2026-04-15 更新20

Measurement error correction in mediation analysis under the additive hazards model

中介分析

测量误差校正

In the disciplines of medicine, biology and social science, causal mediation analysis is widely used to examine the effect of an exposure on an outcome through different causal pathways. Recently, the

DataCite Commons2024-10-26 更新40

Density Deconvolution With Additive Measurement Errors Using Quadratic Programming

密度反卷积估计

测量误差校正

Distribution estimation for noisy data via density deconvolution is a notoriously difficult problem, especially for typical noise distributions like Gaussian. We develop a density deconvolution estima

Figshare2019-12-18 更新30

Additive model for phenotype variances with and without measurement error.

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