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Bayesian statistics and modelling [PDF]

open access: yes, 2021
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
core   +1 more source

Statistical Methodology [PDF]

open access: yesAcademic Emergency Medicine, 1999
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]

open access: yes, 2017
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
core   +1 more source

TESF methodology for statistics education improvement [PDF]

open access: yes, 2010
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.
core   +2 more sources

Stop met het onkritische gebruik van nulhypothesen [PDF]

open access: yes, 2018
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
core   +1 more source

Statistical methodology for ribosomal frameshift detection

open access: yesProceedings of the 13th ACM International Conference on Bioinformatics, Computational Biology and Health Informatics, 2022
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

open access: yes, 2017
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
core   +1 more source

Estimating classification error under edit restrictions in combined survey-register data using Multiple Imputation Latent Class modelling (MILC) [PDF]

open access: yes, 2016
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
core   +1 more source

Bayesian statistics in educational research: a look at the current state of affairs

open access: yes, 2018
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
core   +1 more source

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