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
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
Reply to Zhen and Yu: Cognitive control as questionable proxy for deliberation in honest behaviors
Sign Up to like & getrecommendations! Published in 2022 at "Proceedings of the National Academy of Sciences of the United States of America"
DOI: 10.1073/pnas.2203613119
Abstract: As the predominant paradigm in honesty research traces back the difference between honesty and dishonesty to the engagement of cognitive control—a proxy for deliberative processes indicative of one’s “true” moral nature—empirical research has mainly focused… read more here.
Keywords: deliberation; cognitive control; control; sample sizes ... See more keywords
Considering the sample sizes as truncated Poisson random variables in mixed effects models
Sign Up to like & getrecommendations! Published in 2019 at "Journal of Applied Statistics"
DOI: 10.1080/02664763.2019.1641188
Abstract: When applying analysis of variance, the sample sizes may not be previously known, so it is more appropriate to consider them as realizations of random variables. A motivating example is the collection of observations during… read more here.
Keywords: considering sample; random variables; sizes truncated; mixed effects ... See more keywords
Two-stage designs with small sample sizes
Sign Up to like & getrecommendations! Published in 2022 at "Journal of Biopharmaceutical Statistics"
DOI: 10.1080/10543406.2022.2080691
Abstract: ABSTRACT When applying group-sequential designs in clinical trials with normally distributed outcomes, approximate critical values are often applied. Here, normally distributed test statistics are assumed which, however, are in fact t-distributed. For small sample sizes,… read more here.
Keywords: small sample; two stage; stage designs; sample sizes ... See more keywords