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Published in 2023 at "Statistics in Medicine"
DOI: 10.1002/sim.9635
Abstract: In observational cohort studies, there is frequently interest in modeling longitudinal change in a biomarker (ie, physiological measure indicative of metabolic dysregulation or disease; eg, blood pressure) in the absence of treatment (ie, medication), and…
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Keywords:
methodology;
survey sampling;
complex survey;
sampling design ... See more keywords
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Published in 2023 at "Statistics in medicine"
DOI: 10.1002/sim.9743
Abstract: Cluster randomized designs (CRD) provide a rigorous development for randomization principles for studies where treatments are allocated to cluster units rather than the individual subjects within clusters. It is known that CRDs are less efficient…
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Keywords:
randomized designs;
sampling design;
ranked set;
set sampling ... See more keywords
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Published in 2020 at "Vadose Zone Journal"
DOI: 10.1002/vzj2.20060
Abstract: The “4 per 1,000” initiative calls for land management practices that increase soil organic C (SOC). Despite an imperative for accurate SOC measurement, several methodological issues may complicate the verification of C sequestration. The aim…
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Keywords:
apparent electrical;
directed sampling;
soil characterization;
soil ... See more keywords
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1
Published in 2020 at "Acta Oceanologica Sinica"
DOI: 10.1007/s13131-020-1607-z
Abstract: In the survey of fishery resources, the sampling design will directly impact the accuracy of the estimation of the abundance. Therefore, it is necessary to optimize the sampling design to increase the quality of fishery…
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Keywords:
station;
sampling design;
trituberculatus;
estimation ... See more keywords
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Published in 2019 at "Pedosphere"
DOI: 10.1016/s1002-0160(19)60801-5
Abstract: Abstract Sampling plays an important role in acquiring precise soil information required in modern agricultural production worldwide, which determines both the cost and quality of final soil mapping products. For sampling design, it has been…
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Keywords:
relationships kriging;
sampling design;
kriging variance;
grid spacing ... See more keywords
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1
Published in 2019 at "Molecular Ecology Resources"
DOI: 10.1111/1755-0998.13105
Abstract: Freshwater fish biodiversity is quickly decreasing and requires effective monitoring and conservation. Environmental DNA (eDNA)‐based methods have been shown to be highly sensitive and cost‐efficient for aquatic biodiversity surveys, but few studies have systematically investigated…
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Keywords:
sampling design;
environmental dna;
lentic systems;
spatial sampling ... See more keywords
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Published in 2019 at "Ecography"
DOI: 10.1111/ecog.04568
Abstract: We investigated 1) the role of area per se in explaining anuran species richness on reservoir forest islands, after controlling for several confounding factors. We also assessed 2) how sampling design affects the inferential power…
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Keywords:
sampling design;
area relationships;
species area;
area ... See more keywords
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2
Published in 2022 at "PLoS ONE"
DOI: 10.1371/journal.pone.0265179
Abstract: Systematic sampling is one of the simplest and popular methods for selecting a random sample from a finite population. The diagonal systematic sampling scheme is a type of systematic sampling design which has gained the…
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Keywords:
diagonal systematic;
sampling design;
systematic sampling;
linear trend ... See more keywords
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2
Published in 2022 at "PLoS ONE"
DOI: 10.1371/journal.pone.0271930
Abstract: Monitoring programs are fundamental to understanding the state and trend of aquatic ecosystems. Sampling designs are a crucial component of monitoring programs and ensure that measurements evaluate progress toward clearly stated management objectives, which provides…
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Keywords:
water;
sampling design;
power;
water quality ... See more keywords
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Published in 2017 at "Pakistan Journal of Statistics and Operation Research"
DOI: 10.18187/pjsor.v13i4.1834
Abstract: In stratified sampling design when the cost of measuring the units is not significant in each stratum, the estimation of population mean or total constructed from a selected sample according to Neyman allocation is advisable.…
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Keywords:
sampling design;
programming approach;
stratified sampling;
fuzzy programming ... See more keywords
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3
Published in 2023 at "Journal of statistical software"
DOI: 10.18637/jss.v105.i03
Abstract: spsurvey is an R package for design-based statistical inference, with a focus on spatial data. spsurvey provides the generalized random-tessellation stratified (GRTS) algorithm to select spatially balanced samples via the grts() function. The grts() function…
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Keywords:
spsurvey spatial;
design;
analysis;
sampling design ... See more keywords