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240323s2024 enka ob 001 0 eng d |
| 040 |
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|a YDX
|b eng
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|c YDX
|d OPELS
|d OCLCO
|d N$T
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|d OCLCA
|d OCLCL
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| 020 |
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|a 9780128152485
|q (electronic bk.)
|
| 020 |
|
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|a 0128152486
|q (electronic bk.)
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| 020 |
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|z 9780128152478
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| 020 |
|
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|z 0128152478
|
| 035 |
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|a (OCoLC)1427563907
|
| 050 |
|
4 |
|a R853.B54
|b M63 2024
|
| 082 |
0 |
4 |
|a 610.28
|2 23/eng/20240404
|
| 049 |
|
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|a TXAM
|
| 245 |
0 |
0 |
|a Modern inference based on health-related markers :
|b biomarkers and statistical decision making /
|c edited by Albert Vexler, Jihnhee Yu and Jiaojiao Zhou.
|
| 264 |
|
1 |
|a London :
|b Academic Press, an imprint of Elsevier,
|c [2024]
|
| 264 |
|
4 |
|c ©2024
|
| 300 |
|
|
|a 1 online resource (xiv, 407 pages) :
|b illustrations
|
| 336 |
|
|
|a text
|b txt
|2 rdacontent
|
| 337 |
|
|
|a computer
|b c
|2 rdamedia
|
| 338 |
|
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|a online resource
|b cr
|2 rdacarrier
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| 504 |
|
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|a Includes bibliographical references and index.
|
| 505 |
0 |
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|a 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.
|
| 520 |
|
|
|a "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 biostatistical studies. This book introduces correct and efficient decision-making mechanisms including procedures based on different genomic, epidemiological, and biostatisical concepts with the aim of making these techniques assessable to practical researchers. This book illustrates a range of topics related to biomarkers in basic research and medical applications. These include biomarkers for exposure assessment, ethical considerations in data collection, sample pooling strategies, childhood neighborhood quality assessment, brain research with diffusion tensor imaging data, genome-based cancer site characterization, and an innovative algorithm for thalamic volume measurement using imaging biomarkers. In the biostatistical aspect, this book describes how to correctly state statistical problems and presents novel results. It discusses modern statistical methods for deriving data-driven tools used in health-related studies, especially when dealing with challenging data. This title is a valuable source for epidemiologists, biostaticians, practitioners, both theoretical and applied investigators, and those in the biomedical field who wish to gain a deeper understanding of efficient evidence-based inference incorporating various forms of marker measurements"--Back cover.
|
| 650 |
|
0 |
|a Biochemical markers.
|
| 650 |
|
2 |
|a Biomarkers.
|
| 650 |
|
6 |
|a Marqueurs biologiques.
|
| 655 |
|
7 |
|a Electronic books.
|2 local
|
| 700 |
1 |
|
|a Vexler, Albert.
|e editor.
|1 https://id.oclc.org/worldcat/entity/E39PCjJTgQYCVfPPXQy8bVftTd
|
| 700 |
1 |
|
|a Yu, Jihnhee.
|e editor.
|1 https://id.oclc.org/worldcat/entity/E39PCjMg8wcjxqCY4tPgDbmtDq
|
| 700 |
1 |
|
|a Zhou, Jiaojiao
|c (Biostatistician),
|e editor.
|
| 710 |
2 |
|
|a ScienceDirect (Online service)
|
| 776 |
0 |
8 |
|i Print version:
|z 0128152478
|z 9780128152478
|w (OCoLC)1399164439
|
| 856 |
4 |
0 |
|u http://proxy.library.tamu.edu/login?url=https://www.sciencedirect.com/science/book/9780128152478
|z Connect to the full text of this electronic book
|t 0
|
| 955 |
|
|
|a Elsevier ScienceDirect 2026-2027
|
| 994 |
|
|
|a 92
|b TXA
|
| 999 |
f |
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|i f5dc03cd-62ef-4005-8643-09060eafe799
|s b0396a69-bf16-4465-8212-f9c698c2fab9
|t 0
|
| 952 |
f |
f |
|a Texas A&M University
|b College Station
|c Electronic Resources
|s www_evans
|d Available Online
|t 0
|e R853.B54 M63 2024
|h Library of Congress classification
|
| 998 |
f |
f |
|a R853.B54 M63 2024
|t 0
|l Available Online
|