Dealing with small sample bias in post-crisis samples
Sign Up to like & getrecommendations! Published in 2017 at "Economic Modelling"
DOI: 10.1016/j.econmod.2017.04.004
Abstract: In this paper, we demonstrate that using finite sample correction bootstrapping techniques is advisable in samples that cover less than two complete business cycles, even when high-frequency data seemingly provide a sufficient number of observations… read more here.
Keywords: post crisis; crisis; sample bias; bias ... 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
Image-text dual neural network with decision strategy for small-sample image classification
Sign Up to like & getrecommendations! Published in 2019 at "Neurocomputing"
DOI: 10.1016/j.neucom.2018.02.099
Abstract: Abstract Small-sample classification is a challenging problem in computer vision. In this work, we show how to efficiently and effectively utilize semantic information of the annotations to improve the performance of small-sample classification. First, we… read more here.
Keywords: dual neural; image; text dual; classification ... See more keywords
Linear Mixed-Model Analysis Better Captures Subcomponents of Attention in a Small Sample Size of Persons With Aphasia.
Sign Up to like & getrecommendations! Published in 2023 at "American journal of speech-language pathology"
DOI: 10.1044/2022_ajslp-22-00119
Abstract: PURPOSE Although there are several reports of attention deficits in aphasia, studies are typically limited to a single component within this complex domain. Furthermore, interpretation of results is affected by small sample size, intraindividual variability,… read more here.
Keywords: sample size; small sample; analysis; subcomponents attention ... See more keywords
Corrected likelihood-ratio tests in logistic regression using small-sample data
Sign Up to like & getrecommendations! Published in 2018 at "Communications in Statistics - Theory and Methods"
DOI: 10.1080/03610926.2017.1373815
Abstract: ABSTRACT Likelihood-ratio tests (LRTs) are often used for inferences on one or more logistic regression coefficients. Conventionally, for given parameters of interest, the nuisance parameters of the likelihood function are replaced by their maximum likelihood… read more here.
Keywords: logistic regression; ratio tests; likelihood ratio; likelihood ... See more keywords
Small sample confidence intervals for survival functions under the proportional hazards model
Sign Up to like & getrecommendations! Published in 2018 at "Communications in Statistics - Theory and Methods"
DOI: 10.1080/03610926.2017.1406514
Abstract: ABSTRACT We develop a saddlepoint-based method for generating small sample confidence bands for the population surviival function from the Kaplan-Meier (KM), the product limit (PL), and Abdushukurov-Cheng-Lin (ACL) survival function estimators, under the proportional hazards… read more here.
Keywords: confidence; proportional hazards; confidence bands; sample confidence ... See more keywords
Small sample reliability growth modeling using a grey systems model
Sign Up to like & getrecommendations! Published in 2017 at "Quality Engineering"
DOI: 10.1080/08982112.2017.1318920
Abstract: ABSTRACT When performing system-level developmental testing, time and expenses generally warrant a small sample size for failure data. Upon failure discovery, redesigns and/or corrective actions can be implemented to improve system reliability. Current methods for… read more here.
Keywords: reliability growth; system; model; reliability ... 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
GIFT: new method for the genetic analysis of small gene effects involving small sample sizes
Sign Up to like & getrecommendations! Published in 2022 at "Physical Biology"
DOI: 10.1088/1478-3975/ac99b3
Abstract: Small gene effects involved in complex/omnigenic traits remain costly to analyse using current genome-wide association studies (GWAS) because of the number of individuals required to return meaningful association(s), a.k.a. study power. Inspired by field theory… read more here.
Keywords: gene effects; small gene; gift; method ... See more keywords
Haematological and biochemical reference intervals for wild green turtles (Chelonia mydas): a Bayesian approach for small sample sizes
Sign Up to like & getrecommendations! Published in 2022 at "Conservation Physiology"
DOI: 10.1093/conphys/coac043
Abstract: Abstract Animal health is directly linked to population viability, which may be impacted by anthropogenic disturbances and diseases. Reference intervals (RIs) for haematology and blood biochemistry are essential tools for the assessment of animal health.… read more here.
Keywords: green turtles; sample; turtles chelonia; sample sizes ... See more keywords
Cluster randomized trials with a small number of clusters: which analyses should be used?
Sign Up to like & getrecommendations! Published in 2018 at "International journal of epidemiology"
DOI: 10.1093/ije/dyy057
Abstract: Background: Cluster randomised trials (CRTs) are increasingly used to assess the effectiveness of health interventions. Three main analysis approaches are: cluster-level analyses, mixed-models and generalized estimating equations (GEEs). Mixed models and GEEs can lead to… read more here.
Keywords: number clusters; cluster level; small number; cluster ... See more keywords