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Bayesian statistics and modelling [PDF]
Bayesian statistics is an approach to data analysis and parameter estimation based on Bayes’ Theorem. This Primer describes the stages involved in Bayesian analysis, from specifying the prior and data models, to deriving inference, model checking and ...
Kramer, Bianca +13 more
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Survival analysis is a group of statistical methods used to analyze data representing the time to an event of interest, e.g., the duration of survival after an out‐of‐hospital cardiac arrest or the length of time a patient stays in the ED. Survival analysis properly accounts for patients who are lost to follow‐up and for patients who have not yet ...
K D, Young, J J, Menegazzi, R J, Lewis
openaire +2 more sources
Power and type I error of local fit statistics in multilevel latent class analysis [PDF]
In the social and behavioral sciences, variables are often categorical and people are often nested in groups. Models for such data, such as multilevel logistic regression or the multilevel latent class model, should account for not only the categorical ...
Vermunt, J.K. +8 more
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TESF methodology for statistics education improvement [PDF]
The need for universities to achieve excellence in the services they provide has been the subject of research for several decades. The idea of involving students and recognizing the importance of their opinions has led to the creation of various models ...
Barone, Stefano,, Franco, E. L.
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Stop met het onkritische gebruik van nulhypothesen [PDF]
Misinterpretation and abuse of statistical tests, confidence intervals, and statistical power have been decried for decades, yet remain rampant. A key problem is that there are no interpretations of these concepts that are at once simple, intuitive ...
de Boer, Michiel; id_orcid +6 more
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Statistical methodology for ribosomal frameshift detection
During normal protein synthesis, the ribosome shifts along the messenger RNA (mRNA) by exactly three nucleotides for each amino acid added to the protein being translated. However, in special cases, the sequence of the mRNA somehow induces the ribosome to slip, which shifts the "reading frame" in which the mRNA is translated, and gives rise to an ...
Alisa Yurovsky +3 more
openaire +2 more sources
Improving Transparency and Replication in Bayesian Statistics: The WAMBS-Checklist
Bayesian statistical methods are slowly creeping into all fields of science and are becoming ever more popular in applied research. Although it is very attractive to use Bayesian statistics, our personal experience has led us to believe that naively ...
Methodology and statistics for the behavioural and social sciences +3 more
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Estimating classification error under edit restrictions in combined survey-register data using Multiple Imputation Latent Class modelling (MILC) [PDF]
Both registers and surveys can contain classication errors. These errors can be estimated by making use of information that is obtained when making use of a combined dataset.
Boeschoten, L. +2 more
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Bayesian statistics in educational research: a look at the current state of affairs
The ability of a scientific discipline to build cumulative knowledge depends on its predominant method of data analysis. A steady accumulation of knowledge requires approaches which allow researchers to consider results from comparable prior research ...
König, Christoph +3 more
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