Six Sigma: Sample Size Determination and Simple Design of Experiments Short Examples Series using Risk Simulator
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Bayesian Sample Size Determination for Joint Modeling of Longitudinal Measurements and Survival Data
A longitudinal study refers to collection of a response variable and possibly some explanatory variables at multiple follow-up times. In many clinical studies with longitudinal measurements, the response variable, for each patient is collected as long as an event of interest, which considered as clinical end point, occurs. Joint modeling of continuous longitudinal measurements and survival time...
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Introduction Longitudinal study designs are common in a lot of scientific researches, especially in medical, social and economic sciences. The reason is that longitudinal studies allow researchers to measure changes of each individual over time and often have higher statistical power than cross-sectional studies. Choosing an appropriate sample size is a crucial step in a successful study. A st...
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In this article, the method of determining the optimal sample size is based on Linex asymmetric loss function and has been expressed through Bayesian method for normal, Poisson and exponential distributions. The desirable sample size has been calculated through numerical method. In numerical method, the average posterior risk is calculated and then it is added to the Lindley linear ...
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تاریخ انتشار 2007