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▼a Basavarajaiah, D. M.,
▼e author.
▼1 https://id.oclc.org/worldcat/entity/E39PCjyYr3y4hwyKDDDyMthwfm |
| 245 | 10 |
▼a Advanced statistical methods in life science /
▼c Basavarajaiah D.M and Narasimhamurthy B. |
| 250 | |
▼a First edition. |
| 260 | |
▼a Boca Raton :
▼b Chapman & Hall/CRC,
▼c 2026. |
| 300 | |
▼a 1 online resource (xxvi, 323 pages) :
▼b illustrations (black and white) |
| 336 | |
▼a text
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▼a Includes bibliographical references and index. |
| 520 | |
▼a This book introduces the principles and foundations of advanced statistical methods for designing experiments and testing hypotheses in life sciences. Advanced statistical methods, such as testing of hypotheses, recent methods of sample size determination/imputation, estimation techniques, probability distributions, and univariate analysis demonstrated with real data, and their integration into life sciences are included in this book. Advanced topics are presented with sufficient conceptual depth and examples to explain the use of recent statistical techniques and to demonstrate what conclusions can be drawn at the right time using modeling in life science research.Key features: Explains the derivation of statistical models to prove disease transmission using massive real-world datasets to explore practical applicability Incorporates the application of innovative advanced statistical and epidemiological models and demonstrates the possible solutions for public health policy intervention Helps to understand the process of hypothesis testing in small or larger observations by using weighted parameters Presents suitable examples and real-life research datasets, and all models can easily be followed in formulating statistical and mathematical derivations and key points Includes machine learning (ML), statistical methods for meta-analysis, testing of hypotheses, methods of imputation, estimation techniques, probability distributions, univariate analysis, and recent nonparametric methods, all illustrated through actual data This textbook is for students and scholars of various courses in life sciences, medicine, mathematics, and statistical science. It will also help academicians and researchers to understand the foundation of this topic. |
| 532 | 1 |
▼3 Taylor & Francis
▼a "We are committed to complying with the W3C?굎 Web Content Accessibility Guidelines (WCAG) 2.2 AA Standard to ensure compliance with the following legislation and standards: European Accessibility Act (June 2025), Americans with Disabilities Act of 1990, US Government Section 508 Standards, EPUB Accessibility 1.1 (w3.org), EN 301 549 ??European Union Accessibility requirements suitable for public procurement of ICT products and services in Europe (V3.2.1),The Public Sector Bodies (Websites and Mobile Applications) (No. 2) Accessibility Regulations 2018 (PSBAR)." Source: https://taylorandfrancis.com/about/corporate-responsibility/accessibility-at-taylor-francis/. Last accessed April 22, 2025. |
| 532 | 0 |
▼3 EBSCOhost
▼a "EBSCO evaluates our products based on the Web Content Accessibility Guidelines (WCAG) and the related Section 508 and EN 301 549 regulations in the US and EU. Most EBSCO products are substantially conformant with WCAG 2.2 level AA." Source: https://connect.ebsco.com/s/article/EBSCO-VPATs?language=en_US. Last accessed April 22, 2025. |
| 588 | |
▼a Description based on online resource; title from digital title page (viewed on September 08, 2025). |
| 590 | |
▼a WorldCat record variable field(s) change: 050 |
| 650 | 0 |
▼a Life sciences
▼x Statistical methods. |
| 700 | 1 |
▼a Narasimhamurthy, B.,
▼e author. |
| 776 | 08 |
▼i Print version:
▼z 9781032711539 |
| 856 | 40 |
▼3 EBSCOhost
▼u https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&db=nlabk&AN=4078213 |
| 938 | |
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▼a 관리자 |