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Showing 1 to 14 of 14 for “"Sample size determination."”.
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Topics in Bayesian sample size determination and Bayesian model selection.
… The first topic is related to Bayesian sample size determination with a misclassified prevalence variable when two possibly dependent diagnostic tests are used for estimation. After accounting for the dependence structure, the required sample size will be larger than that assuming …
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Bayesian sample-size determination and adaptive design for clinical trials with Poisson outcomes.
… researchers often need to determine the smallest sample size that provides accurate inferences for a parameter of interest or need to adaptive design elements during the course of the trial based on information that is initially unknown. Although most experimenters have employed frequentist …
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Topics in Bayesian models with ordered parameters : response misclassification, covariate misclassification, and sample size determination.
… hypotheses (Hoijtink, 2012) and perform sample size determination for this problem using the two priors approach of Brutti et al. (2008).
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Sample size determination for two sample binomial and Poisson data models based on Bayesian decision theory.
Sample size determination continues to be an important research area in statistical analysis due to the cost and time constraints that often exist in areas such as pharmaceuticals and public health. We begin by outlining the work of a previous article that attempted to find a minimum necessary …
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Sample size determination for Emax model, equivalence / non-inferiority test and drug combination in fixed dose trials.
Sample size determination is one of the most important aspects in clinical designs. Careful selection of appropriate sample sizes can not only save economic and human resources, but also improve model performance and efficiency. We first explore the sample sizes of Emax model for a simple one group …
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Bayesian methods in non-clinical pharmaceutical statistics.
… present an application of Bayesian assurance and sample size determination to the manufacturing process validation life-cycle. In particular, we show how the two-prior approach for sample size determination, which has been considered extensively in the clinical biostatistics area, can be applied …
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Variable Selection and Hypothesis Testing for High-Dimensional Models in Mental Health Research
… model estimation, hypothesis testing, and sample size determination, often undermining statistical stability, interpretability, and computational efficiency. This dissertation develops and evaluates novel statistical methodologies aimed at improving inference in high-dimensional and …
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A Practical Extension to the AB/BA Design
… its<br />corresponding power function to aid in sample size determination to aid statistical<br />planning. Lastly, we explore the theoretical power of our testing procedure and<br />compare it to simulated power studies to verify how well sample size determinations<br />will work in practice.</p>
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Bayesian methods for hurdle models.
… consider a simulation algorithm for Bayesian sample size determination for such models. We illustrate the use of the new methods on data from a hypothetical sleep disorder study.
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Sample Size Calculation Based on the Semiparametric Analysis of Short-term and Long-term Hazard Ratios
We derive sample size formulae for survival data with non-proportional hazard functions under both fixed and contiguous alternatives. Sample size determination has been widely discussed in literature for studies with failure-time endpoints. Many researchers have developed methods with the …
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Bayesian modelling of mixed outcome types using random effect.
… non-informative priors are used. A Bayesian sample size determination method is also developed. We make three extensions to the PN model accounting for three complications common to Poisson-normal (PN) regression: continuous responses exhibiting skewness, potential misclassification in a …
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The Accuracy of River Bed Sediment Samples
… ecological health is the streambed's sediment size distribution. This distribution affects streambed stability, sediment transport rates, and flood levels by defining the roughness of the stream channel. Adverse effects on water quality and wildlife can be expected when excessive fine sediments …
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An assessment of the impacts of land use changes on the Duthuni wetland stream using remote sensing, GIS and social surveying: a case study in Limpopo Province, South Africa
… context for selecting participants and for sample size determination. The different instruments for data collection included the questionnaires, interviews, focus group interviews and documents review. Socio-economic survey and review of documents were carried out to understand historical …