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Modern Bayesian Statistics in Clinical Research
Engelsk Hardback
Modern Bayesian Statistics in Clinical Research
Engelsk Hardback

811 kr
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Om denne bog

The current textbook has been written as a help to medical / health professionals and students for the study of modern Bayesian statistics, where posterior and prior odds have been replaced with posterior and prior likelihood distributions. Why may likelihood distributions better than normal distributions estimate uncertainties of statistical test results? Nobody knows for sure, and the use of likelihood distributions instead of normal distributions for the purpose has only just begun, but already everybody is trying and using them. SPSS statistical software version 25 (2017) has started to provide a combined module entitled Bayesian Statistics including almost all of the modern Bayesian tests (Bayesian t-tests, analysis of variance (anova), linear regression, crosstabs etc.).

Modern Bayesian statistics is based on biological likelihoods, and may better fit clinical data than traditional tests based normal distributions do. This is the first edition to systematically imply modern Bayesian statistics in traditional clinical data analysis. This edition also demonstrates that Markov Chain Monte Carlo procedures laid out as Bayesian tests provide more robust correlation coefficients than traditional tests do. It also shows that traditional path statistics are both textually and conceptionally like Bayes theorems, and that structural equations models computed from them are the basis of multistep regressions, as used with causal Bayesian networks. 


Product detaljer
Sprog:
Engelsk
Sider:
188
ISBN-13:
9783319927466
Indbinding:
Hardback
Udgave:
ISBN-10:
3319927469
Udg. Dato:
11 aug 2018
Længde:
20mm
Bredde:
242mm
Højde:
164mm
Forlag:
Springer International Publishing AG
Oplagsdato:
11 aug 2018
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