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A unique point of this book is its low threshold, textually simple and at the same time full of self-assessment opportunities. Other unique points are...Savoir plus
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Machine learning and big data is hot. It is, however, virtually unused in clinical trials. This is so, because randomization is applied to even out mu...Savoir plus
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In medical and health care the scientific method is little used, and statistical software programs are experienced as black box programs producing lot...Savoir plus
Adequate health and health care is no longer possible without proper data supervision from modern machine learning methodologies like cluster models, ...Savoir plus
Modern meta-analyses do more than combine the effect sizes of a series of similar studies. Meta-analyses are currently increasingly applied for any an...Savoir plus
An important novel menu for Survival Analysis entitled Accelerated Failure Time (AFT) models has been published by IBM (international Businesss Machin...Savoir plus
A unique point of this book is its low threshold, textually simple and at the same time full of self-assessment opportunities. Other unique points are...Savoir plus
The current book is the first publication of a complete overview of machine learning methodologies for the medical and health sector. It was written a...Savoir plus
Quantile regression is an approach to data at a loss of homogeneity, for example (1) data with outliers, (2) skewed data like corona - deaths data, (3...Savoir plus
Regression analysis of cause effect relationships is increasingly the core of medical and health research. This work is a 2nd edition of a 2017 pretty...Savoir plus
This textbook consists of ten chapters, and is a must-read to all medical and health professionals, who already have basic knowledge of how to analyze...Savoir plus
This edition is a pretty complete textbook and tutorial for medical and health care students, as well as a recollection/update bench, and help desk fo...Savoir plus
The current textbook has been written as a help to medical / health professionals and students for the study of modern Bayesian statistics, where post...Savoir plus
Quantile regression is an approach to data at a loss of homogeneity, for example (1) data with outliers, (2) skewed data like corona - deaths data, (3...Savoir plus
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