Results 121 to 130 of about 8,657 (149)
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Improved confidence intervals for nonlinear mixed-effects and nonparametric regression models

Annals of the Institute of Statistical Mathematics
Statistical inference for high dimensional parameters (HDPs) can be based on their intrinsic correlation; that is, parameters that are close spatially or temporally tend to have more similar values.
Nan Zheng, N. Cadigan
semanticscholar   +1 more source

Trend Projections of Greenhouse Gas Emission Reduction Potentials: A Bootstrap-Based Nonparametric Efficiency Analysis

Social Science Research Network
We use nonparametric methods to compute the environmental inefficiency of 100 countries over the period 1990-2017 on the macro-level. The inefficiency is expressed as the potential reduction of GHG emissions, holding economic output constant.
L. Fait   +3 more
semanticscholar   +1 more source

Speeding up interval estimation for R2-based mediation effect of high-dimensional mediators via cross-fitting.

Biostatistics
Mediation analysis is a useful tool in investigating how molecular phenotypes such as gene expression mediate the effect of exposure on health outcomes.
Zhichao Xu   +4 more
semanticscholar   +1 more source

Confidence interval for the difference between two median survival times with semiparametric transformation models

Communications in statistics. Simulation and computation, 2019
In medical studies, we usually are interested in comparing the treatment effects of the drug according to the difference of two median survival times.
Yu-Mei Chang, P. Shen, Yuanyuan Tang
semanticscholar   +1 more source

Inference procedures in sequential trial emulation with survival outcomes: Comparing confidence intervals based on the sandwich variance estimator, bootstrap and jackknife

Statistical Methods in Medical Research
Sequential trial emulation (STE) is an approach to estimating causal treatment effects by emulating a sequence of target trials from observational data. In STE, inverse probability weighting is commonly utilised to address time-varying confounding and/or
Juliette M. Limozin   +2 more
semanticscholar   +1 more source

Coverage errors for Student's t confidence intervals comparable to those in Hall (1988)

arXiv.org
Table 1 of Hall (1988) contains asymptotic coverage error formulas for some nonparametric approximate 95\% confidence intervals for the mean based on $n$ IID samples.
Art B. Owen
semanticscholar   +1 more source

A novel nonparametric confidence interval for differences of proportions for correlated binary data

Statistical Methods in Medical Research, 2018
Chongyang Duan   +4 more
semanticscholar   +1 more source

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