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Results showed that samples designed using relative ratios matrix:oil 10 2, gum:chitosan 1 1 and 5% gum concentration showed high loading (11.8%) and encapsulation efficiency (70%).
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We constructed a probability-based sampling design using two stages of sampling with stratification at each stage.
The IDB Analyzer allows handling complex sample designs, using plausible value methodology and calculating correct standard errors when conducting analysis with large-scale surveys.
We compared the performance of two traditional sampling designs with three adaptive sampling designs using simulated data based on fishery-independent surveys for yellow perch in Lake Erie.
Analyses adjusted for NHIS' complex sampling design using SAS-callable SUDAAN.
We accounted for sampling weights and the clustered sampling design using statistical survey methods.
All the estimates and the standard errors are adjusted for the sampling design using the appropriate sampling weights.
Sampling weights were utilized in multiple regression models to account for the complex sampling design, using survey methods.
Stratified, multistage cluster sampling design using EDs as primary sampling units was done similar to other national surveys.
All variance calculations incorporated the sample weights and accounted for the complex sample design using Taylor series linearization.
Descriptive statistics and regression models were adjusted for SHOW cluster sampling design using sampling weights (PROC SURVEYFREQ, PROC SURVEYREG, and PROC SURVEYLOGISTIC).
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CEO of Professional Science Editing for Scientists @ prosciediting.com