Reporting of Statistical Inference in Abstracts of Major Cancer Journals, 1990 to 2020
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DOI: 10.1001/jamanetworkopen.2022.18337
Abstract: Key Points Question How has the reporting of statistical inference in abstracts of major cancer journals evolved over time? Findings In this serial cross-sectional study, reporting of confidence intervals increased over time in most journals,… read more here.
Keywords: major cancer; abstracts major; inference abstracts; reporting statistical ... See more keywords
Statistical inference in brain graphs using threshold‐free network‐based statistics
Sign Up to like & getrecommendations! Published in 2018 at "Human Brain Mapping"
DOI: 10.1002/hbm.24007
Abstract: The description of brain networks as graphs where nodes represent different brain regions and edges represent a measure of connectivity between a pair of nodes is an increasingly used approach in neuroimaging research. The development… read more here.
Keywords: network based; threshold free; brain graphs; brain ... See more keywords
Markov neighborhood regression for statistical inference of high‐dimensional generalized linear models
Sign Up to like & getrecommendations! Published in 2022 at "Statistics in Medicine"
DOI: 10.1002/sim.9493
Abstract: High‐dimensional inference is one of fundamental problems in modern biomedical studies. However, the existing methods do not perform satisfactorily. Based on the Markov property of graphical models and the likelihood ratio test, this article provides… read more here.
Keywords: neighborhood regression; markov neighborhood; high dimensional; inference ... See more keywords
Data-driven high-dimensional statistical inference with generative models
Sign Up to like & getrecommendations! Published in 2025 at "Journal of High Energy Physics"
DOI: 10.1007/jhep11(2025)129
Abstract: Crucial to many measurements at the LHC is the use of correlated multi-dimensional information to distinguish rare processes from large backgrounds, which is complicated by the poor modeling of many of the crucial backgrounds in… read more here.
Keywords: generative models; inference; high dimensional; statistical inference ... See more keywords
Statistical inference for the functional quadratic quantile regression model
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DOI: 10.1007/s00184-020-00763-5
Abstract: In this paper, we develop statistical inference procedures for functional quadratic quantile regression model in which the response is a scalar and the predictor is a random function defined on a compact set of R… read more here.
Keywords: quantile regression; regression model; functional quadratic; model ... See more keywords
Post-transfer learning statistical inference in high-dimensional regression
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DOI: 10.1007/s11222-025-10738-z
Abstract: Transfer learning (TL) for high-dimensional regression (HDR) is an important problem in machine learning, particularly when dealing with limited sample size in the target task. However, there currently lacks a method to quantify the statistical… read more here.
Keywords: transfer learning; inference; high dimensional; statistical inference ... See more keywords
Statistical inference through estimation: Recommendations from the International Society of Physiotherapy Journal Editors
Sign Up to like & getrecommendations! Published in 2022 at "Brazilian Journal of Physical Therapy"
DOI: 10.1016/j.bjpt.2021.100387
Abstract: Null hypothesis statistical tests are often conducted in healthcare research, including in the physiotherapy field. Despite their widespread use, null hypothesis statistical tests have important limitations. This co-published editorial explains statistical inference using null hypothesis… read more here.
Keywords: null hypothesis; estimation; hypothesis statistical; statistical tests ... See more keywords
Parallelization and High-Performance Computing Enables Automated Statistical Inference of Multi-scale Models.
Sign Up to like & getrecommendations! Published in 2017 at "Cell systems"
DOI: 10.1016/j.cels.2016.12.002
Abstract: Mechanistic understanding of multi-scale biological processes, such as cell proliferation in a changing biological tissue, is readily facilitated by computational models. While tools exist to construct and simulate multi-scale models, the statistical inference of the… read more here.
Keywords: scale models; statistical inference; multi scale; pabc smc ... See more keywords
Statistical inference for the intensity in a partially observed jump diffusion
Sign Up to like & getrecommendations! Published in 2019 at "Journal of Mathematical Analysis and Applications"
DOI: 10.1016/j.jmaa.2018.10.026
Abstract: Abstract This article focuses on a partially observed linear diffusion with jumps described by a Poisson process. Precisely, we study an inferential problem for the intensity of the Poisson process by establishing a moderate deviation… read more here.
Keywords: statistical inference; inference intensity; intensity partially; diffusion ... See more keywords
Statistical inference of locally stationary functional coefficient models
Sign Up to like & getrecommendations! Published in 2020 at "Journal of Statistical Planning and Inference"
DOI: 10.1016/j.jspi.2020.02.006
Abstract: Abstract In this paper, we propose a novel functional coefficient model, useful for direct modeling of nonstationary time series data without needing to detrend the original data. The proposed model could reveal the underlying dynamics… read more here.
Keywords: locally stationary; coefficient; inference locally; functional coefficient ... See more keywords
A Theory of Statistical Inference for Matching Methods in Causal Research
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DOI: 10.1017/pan.2018.29
Abstract: Researchers who generate data often optimize efficiency and robustness by choosing stratified over simple random sampling designs. Yet, all theories of inference proposed to justify matching methods are based on simple random sampling. This is… read more here.
Keywords: inference matching; matching methods; theory; theory statistical ... See more keywords