Bayesian Estimation of Hierarchical Linear Models From Incomplete Data: Cluster‐Level Interaction Effects and Small Sample Sizes
Sign Up to like & getrecommendations! Published in 2024 at "Statistics in Medicine"
DOI: 10.1002/sim.70051
Abstract: We consider Bayesian estimation of a hierarchical linear model (HLM) from partially observed data, assumed to be missing at random, and small sample sizes. A vector of continuous covariates C$$ C $$ includes cluster‐level partially… read more here.
Keywords: estimation hierarchical; bayesian estimation; small sample; estimation ... See more keywords
Bootstrap vs asymptotic variance estimation when using propensity score weighting with continuous and binary outcomes
Sign Up to like & getrecommendations! Published in 2022 at "Statistics in Medicine"
DOI: 10.1002/sim.9519
Abstract: We used Monte Carlo simulations to compare the performance of asymptotic variance estimators to that of the bootstrap when estimating standard errors of differences in means, risk differences, and relative risks using propensity score weighting.… read more here.
Keywords: asymptotic variance; bootstrap; using propensity; sample sizes ... See more keywords
Invited Response on: “Statistical P values have No Guiding Significance in Clinical Trials of Plastic Surgery with Small Sample Sizes”
Sign Up to like & getrecommendations! Published in 2021 at "Aesthetic Plastic Surgery"
DOI: 10.1007/s00266-021-02617-5
Abstract: Dear Editor We thank you for the opportunity to respond to Gao X and Cai X’s letter regarding our article, Can We Trust the Conclusion ‘‘No Significant Difference’’ in Plastic Surgery Trials? [1]. We believe… read more here.
Keywords: sample sizes; invited response; surgery; plastic surgery ... See more keywords
MISS: finding optimal sample sizes for approximate analytics
Sign Up to like & getrecommendations! Published in 2022 at "Distributed and Parallel Databases"
DOI: 10.1007/s10619-021-07376-5
Abstract: Nowadays, sampling-based Approximate Query Processing (AQP) is widely regarded as a promising way to achieve interactivity in big data analytics. To build such an AQP system, finding the minimal sample size for a query regarding… read more here.
Keywords: sample; miss finding; textsc miss; optimal sample ... See more keywords
Sample size correction factors for indentation on asphalt bitumens
Sign Up to like & getrecommendations! Published in 2017 at "Construction and Building Materials"
DOI: 10.1016/j.conbuildmat.2017.07.213
Abstract: Abstract Closed form solutions for obtaining fundamental properties of viscoelastic materials through indentation assume a semi-infinite indented media. For real sample sizes, proper material characterization requires determining the effect of finite sample dimensions. Available solutions… read more here.
Keywords: size correction; correction factors; correction; sample sizes ... See more keywords
The effect of large sample sizes on ecological niche models: Analysis using a North American rodent, Peromyscus maniculatus
Sign Up to like & getrecommendations! Published in 2018 at "Ecological Modelling"
DOI: 10.1016/j.ecolmodel.2018.08.013
Abstract: Abstract Correlative ecological niche models (ENMs) aim to approximate the environmentally suitable areas for a species. Recently, studies have explored the minimum number of occurrence records needed to implement ENMs; however, cosmopolitan species with many… read more here.
Keywords: ecological niche; sample; geography; niche models ... See more keywords
Using qualitative methods to support recovery of endangered species: The case of red-cockaded woodpecker foraging habitat
Sign Up to like & getrecommendations! Published in 2019 at "Global Ecology and Conservation"
DOI: 10.1016/j.gecco.2019.e00553
Abstract: Abstract Meta-analyses are powerful tools for synthesizing wildlife-habitat relationships, but small sample sizes and complex species-habitat relationships often preclude correlative meta-analyses on endangered species. In this study, we demonstrate qualitative comparative analysis (QCA) as a… read more here.
Keywords: sample sizes; habitat; regression tree; small sample ... See more keywords
Choice of knee cartilage thickness change metric for different treatment goals in efficacy studies.
Sign Up to like & getrecommendations! Published in 2017 at "Seminars in arthritis and rheumatism"
DOI: 10.1016/j.semarthrit.2017.05.012
Abstract: INTRODUCTION In knee osteoarthritis, local increase and decrease in cartilage thickness has been observed over short time intervals. Hence, averaging cartilage change across large regions may not capture the complexity of structural alterations in disease… read more here.
Keywords: change; treatment; thickness change; sample sizes ... See more keywords
On the pursuit of reproducibility: the importance of large sample sizes in psychoimmunology
Sign Up to like & getrecommendations! Published in 2025 at "Translational Psychiatry"
DOI: 10.1038/s41398-025-03244-3
Abstract: Peripheral inflammatory markers (PIMs), such as C-reactive protein (CRP) or white blood cell count (WBC), have been associated with depression severity in meta-analyses and large cohort studies. However, in typically-sized psychoimmunology studies (N 500) generally ensured… read more here.
Keywords: depression; large sample; sample sizes; psychoimmunology ... See more keywords
Amputated life-testing based on extended Dagum percentiles for type of group inspection plans: optimal sample sizes, termination time ratios analysis
Sign Up to like & getrecommendations! Published in 2024 at "Scientific Reports"
DOI: 10.1038/s41598-024-74897-1
Abstract: This paper introduces a novel approach to life-testing using Extended Dagum (EXD) percentiles within the framework of group inspection plans. The methodology focuses on optimizing sample sizes and analyzing termination time ratios to enhance the… read more here.
Keywords: termination time; life testing; time ratios; sample sizes ... See more keywords
Small sample sizes reduce the replicability of task-based fMRI studies
Sign Up to like & getrecommendations! Published in 2018 at "Communications Biology"
DOI: 10.1038/s42003-018-0073-z
Abstract: Despite a growing body of research suggesting that task-based functional magnetic resonance imaging (fMRI) studies often suffer from a lack of statistical power due to too-small samples, the proliferation of such underpowered studies continues unabated.… read more here.
Keywords: replicability; task based; sample sizes; fmri studies ... See more keywords