Modern inference based on health-related markers : biomarkers and statistical decision making /
"Modern Inference Based on Health Related Markers: Biomarkers and Statistical Decision Making provides a compendium of biomarkers based methodologies for respective health-related studies. These methodologies can be applied to various problems encountered in medical, epidemiological, and biosta...
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| Other Authors: | , , |
| Format: | eBook |
| Language: | English |
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London :
Academic Press, an imprint of Elsevier,
[2024]
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| Online Access: | Connect to the full text of this electronic book |
Table of Contents:
- An array of statistical concepts and tools for handling challenging data / Albert Vexler and Jihnhee Yu
- A review of expected P-values and their applications in biomarkers studies / Jiaojiao Zhou, Xinyu Gao, David Vexler and Jihnhee Yu
- Latent class modeling approaches for studying the effects of chemical mixtures on disease risk / Paul S. Albert, Sung Duk Kim and Zhen Chen
- Incomplete data in health studies / Prince A. Allotey and Ofer Harel
- An introduction to biomarkers in translational research (2023) / Jeffrey C. Miecznikowski, Michael Sill and Austin Miller
- Collection and handling of biomarkers of inorganic arsenic exposure in statistical analyses / Gauri Desai, Marie Vahter and Katarzyna Kordas
- Efficient sample pooling strategies for COVID-19 data gathering / Istvan Szapudi
- Implications of childhood neighborhood quality for young adult parasympathetic reactivity / Betty Lin, Elizabeth A. Holdsworth, Allison A. Appleton, Victoria Ledsham and Beth J. Feingold
- Application of adaptive designs in clinical research / Guogen Shan, Carolee Dodge Francis, Jingxia Liu, Xuan Hong and Charles Bernick
- Comparison of multivariate pooling strategies based on skewed data in light of the receiver operating characteristic curve analysis / Xinyu Gao, Albert Vexler and Jihnhee Yu
- ROC methods in biomarker development / Kristopher Attwood
- Introduction of diffusion tensor imaging data : an overview for novice users / Soyun Park and Jihnhee Yu
- Genome-driven cancer site characterization : an overview of the hidden genome model / Saptarshi Chakraborty
- Thalamic volumetry via deep learning as an imaging biomarker in multiple sclerosis / Michael Dwyer, Niels Bergsland and Robert Zivadinov.