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To estimate statistical power or required sample size in a study based on simple random sampling or allocation, one requires an estimate of the minimal important effect and (for continuous measures) the standard deviation of the outcome in the population studied.
Methods 1 and 2 are based on simple random sampling (SRS) strategy.
Siuly et al. [25] introduced a computerised approach based on simple random sampling (SRS) techniques and least square support vector machine (LS-SVM) to classify epileptic EEG signals.
We study the performance of our proposed RNS-based tolerance intervals based on the corresponding coverage probabilities and the necessary sample size for their existence with those based on simple random sampling (SRS).
Among other results, we show that MNS acceptance sampling plans with smaller sample size and bigger acceptance number perform better than commonly used acceptance sampling plans for attributes based on simple random sampling (SRS) technique.
We develop quality control charts for attributes using the maxima nomination sampling (MNS) method and compare them with the usual control charts based on simple random sampling (SRS) method, using average run length (ARL) performance, the required sample size in detecting quality improvement, and non-existence region for control limits.
Similar(47)
409 participants were randomly assigned into one of the four arms using a computer-generated randomization list (based on simple randomization with random allocation sequence to ensure equal group sizes).
The random sequence (based on simple randomization) will be generated using a computerized random-number generator.
The study statistician generated the random sequence (based on simple randomisation) by using a computerised random number generator; this was concealed from all study personnel throughout the study.
We propose a prediction method based on simple and generic conditional random fields (CRFs) with L1-norm regularization (lasso) for amino acid residue-base contacts between RNAs and proteins.
Although our results are based on simple mass-action principles (i.e. random mixing between individuals) we expect the same to hold true when considering explicit spatial or contact structures.
More suggestions(15)
based on simple algorithmical
based on simple normal
based on simple on/off
based on simple simulated
based on simple liquid-liquid
based on simple social
based on simple modular
based on simple statistical
based on simple clinical
based on simple logistic
based on simple conditional
based on simple keyword-based
based on simple individual
based on simple spinning
based on simple bilateral
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