Statistical significance is important when assessing the results of statistical analysis, but you also need to look at the actual statistic values involved and decide whether they are practically significant, with meaningful real-world implications. And while we do want to have sample sizes large enou...
Example of applications of multivariate statistical analysis in the pulp and paper industryIn this paper we discuss four practical examples amongst the many industrial applications we have performed over the years to illustrate the diverse applications of multivariate statistical analysis from modelling, to...
“undisclosed flexibility in data collection and analysis allows presenting anything as significant.” And, as Loken and I emphasized in our paper on forking paths, “undisclosed flexibility” could be undisclosed to the authors themselves: the problem is with data-dependent analysis choices...
understanding, describes the process of extracting knowledge from the data, emphasising marked point processes, demonstrates the analysis of complex data sets, using applied examples from areas including biology, forestry, and materials science, and features a supplementary website containing example ...
Even though real-time PCR has been broadly applied in biomedical sciences, data processing procedures for the analysis of quantitative real-time PCR are still lacking; specifically in the realm of appropriate statistical treatment. Confidence interval and statistical significance considerations are not expl...
Statisticalanalysis is a means of arriving at a fairly reliable forecast. 统计分析是一种相当可靠的预测方法. 《现代汉英综合大词典》 All thestatisticalcomputations were performed by the new software system. 所有的统计计算均由新的软件系统完成。
Different perspectives on the claims in the paper, The Colonial Origins of Comparative Development (15 comments) What makes an MCMC sampler GPU-friendly? (15 comments) Meta-analysis with a single study (15 comments) Those correction notices, in full. (Yes, it’s possible to directly admit and...
Agent-based models (ABM)Agent-based models as introduced earlier, have been used for decision analysis, for example for cost-effectiveness analyses in health care in the recent years (Marshall et al.2015; Chhatwal and He2015). ABMs are also used in public health studies to model noncommunicabl...
Since Bayesian modeling makes it easy to fit multiple models at once, incorporation of the raw HD into the RCT analysis and discounting HD by explicitly modeling bias is perhaps a more direct approach than lowering the effective sample size of HD. Trust the HD sample size but not what the ...
For example, here are results from Yuen’s test for trimmed means (robust t-test):Summary of statistical tests and effect sizesStatistical analysis is carried out by {statsExpressions} package, and thus a summary table of all the statistical tests currently supported across various functions can ...