Tag: Biostatistics

Biostatistics in Biopharmaceutical Research and Development Clinical Trial Design, Volume 1


Free Download Biostatistics in Biopharmaceutical Research and Development: Clinical Trial Design, Volume 1
English | 2024 | ISBN: 3031659473 | 368 Pages | PDF EPUB (True) | 44 MB
This book honors 80 years of contributions and dedication of the Deming Conference in biostatistics, and biopharmaceutical clinical trial methodology and applications. All chapters are contributed by world-class and prominent Deming speakers, who’ve contributed their cutting-edge research and developments to the community. Volume 1 covers Historical Milestones in Clinical Trial Design, FDA biopharmaceutical design guidance, and emerging development in Clinical Trial Design Methodology.

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Biostatistics in Biopharmaceutical Research and Development Clinical Trial Analysis, Volume 2


Free Download Biostatistics in Biopharmaceutical Research and Development: Clinical Trial Analysis, Volume 2
English | 2024 | ISBN: 3031659368 | 535 Pages | PDF EPUB (True) | 55 MB
This book honors 80 years of contributions and dedication of the Deming Conference in biostatistics, and biopharmaceutical clinical trial methodology and applications. All chapters are contributed by world-class and prominent Deming speakers, who’ve contributed their cutting-edge research and developments to the community. Volume 2 covers Biomarkers in Drug Development, Time-To-Event Data Analysis and Methods, and emerging development in biopharmaceutical biostatistics.

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Computational Intelligence Methods for Bioinformatics and Biostatistics 9th International Meeting, CIBB 2012, Houston, TX, USA


Free Download Computational Intelligence Methods for Bioinformatics and Biostatistics: 9th International Meeting, CIBB 2012, Houston, TX, USA, July 12-14, 2012 Revised Selected Papers By Artem L. Ponomarev, Francis A. Cucinotta (auth.), Leif E. Peterson, Francesco Masulli, Giuseppe Russo (eds.)
2013 | 185 Pages | ISBN: 3642383416 | PDF | 12 MB
This book constitutes the refereed proceedings of the 9th International Meeting on Computational Intelligence Methods for Bioinformatics and Biostatistics, CIBB 2012, held in Houston, TX, USA during in July 2012. The 16 revised full papers presented were carefully reviewed and selected from 23 submissions. The papers are organized in topical sections on relativistic heavy ions and DNA damage; image segmentation; proteomics; RNA and DNA sequence analysis; RNA, DNA, and SNP microarrays; semi-supervised/unsupervised cluster analysis.

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R for Basic Biostatistics in Medical Research


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English | 2024 | ISBN: 9819769795 | 315 Pages | PDF EPUB (True) | 24 MB
The scientific community at the global level is fast becoming aware of the rising use of open-source tools such as R and Python for data analysis. Unfortunately, in spite of the awareness, the conversion of the intrigue to the practical knowledge in utilization of the open-source tools for routine day-to-day data analysis is seriously lacking both among physicians and medical scientists. This book enables physician-scientists to understand the complexity of explaining a programming/ data-analytic language to a healthcare professional and medical scientist. It simplifies and explains how R can be used in medical projects and routine office works. It also talks about the methodologies to convert the knowledge to practice. The book starts with the introduction to the structure of R programming language in the initial chapters, followed with explanations of utilizing R in the basics of data analysis like data importing and exporting, operations on a data frame, parametric and non-parametric tests, regression, sample size calculation, survival analysis, receiver operator characteristic analysis (ROC) and techniques of randomization. Each chapter provides a brief introduction to the involved statistics, for example, dataset, working codes, and a section explaining the codes. In addition to it, a chapter has been dedicated to describing the ways to generate Descriptions using R. This book primarily targets health care professionals and medical/life-science researchers in general.

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Biostatistics with Python Apply Python for biostatistics with hands-on biomedical and biotechnology projects


Free Download Biostatistics with Python: Apply Python for biostatistics with hands-on biomedical and biotechnology projects by Darko Medin
English | November 29th, 2024 | ISBN: 1837630968 | 374 pages | True PDF | 10.64 MB
Learn how to utilize biostatistics with Python for excelling in research and biomedical professions with practical exemplar projects

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Biostatistics with Python Apply Python for biostatistics with hands-on biomedical and biotechnology projects


Free Download Biostatistics with Python: Apply Python for biostatistics with hands-on biomedical and biotechnology projects
English | 2024 | ISBN: 1837630968 | 566 Pages | EPUB (True) | 25 MB
This book leverages the author’s decade-long experience in biostatistics and data science to simplify the practical use of biostatistics with Python. The chapters show you how to clean and describe your data effectively, setting a solid foundation for accurate analysis and proficiency in biostatistical inference to help you draw meaningful conclusions from your data through hypothesis testing and effect size analysis.

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Biostatistics for Oral Healthcare


Free Download Biostatistics for Oral Healthcare By Jay S. Kim, Ronald J. Dailey(auth.)
2007 | 330 Pages | ISBN: 081382818X | PDF | 5 MB
Biostatistics for Oral Healthcare offers students, practitioners and instructors alike a comprehensive guide to mastering biostatistics and their application to oral healthcare. Drawing on situations and methods from dentistry and oral healthcare, this book provides a thorough treatment of statistical concepts in order to promote in-depth and correct comprehension, supported throughout by technical discussion and a multitude of practical examples.Content: Chapter 1 Introduction (pages 1-3): Chapter 2 Summarizing Data and Clinical Trials (pages 5-25): Chapter 3 Measures of Central Tendency, Dispersion, and Skewness (pages 27-53): Chapter 4 Probability (pages 55-79): Chapter 5 Probability Distributions (pages 81-102): Chapter 6 Sampling Distributions (pages 103-111): Chapter 7 Confidence Intervals and Sample Size (pages 113-126): Chapter 8 Hypothesis Testing: One?Sample Case (pages 127-157): Chapter 9 Hypothesis Testing: Two?Sample Case (pages 159-179): Chapter 10 Categorical Data Analysis (pages 181-201): Chapter 11 Regression Analysis and Correlation (pages 203-225): Chapter 12 One?Way Analysis of Variance (pages 227-243): Chapter 13 Two?Way Analysis of Variance (pages 245-256): Chapter 14 Non?Parametric Statistics (pages 257-277): Chapter 15 Survival Analysis (pages 279-298):

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Introduction to Biostatistics and Research Methods


Free Download P.S.S. Sundar Rao, J. Richard, "Introduction to Biostatistics and Research Methods"
English | 2012 | ISBN: 8120345207 | PDF | pages: 279 | 4.8 mb
The last decade has produced many textbooks on Biostatistics, with varying emphasis and degrees of mathematical complexity. This book has stood the test of time and continues to enjoy wide acceptance among students of all health and allied professions, other students and even qualified health investigators, who find it practical, simple and yet precise. This fully updated and thoroughly revised Fifth Edition, while retaining the fundamental concepts, acquaints the reader with the advances in the subject. The book explains the concepts involved in arriving at the sample size and also a quick solution to the estimation of sample size. Survival analysis and log-rank test are illustrated with examples. The essentials of Chi square tests are simplified and presented. Two-way analysis of variance (ANOVA) is explained with two examples, with and without interaction term. The chapters on Research Methods, Interventional Studies and Observational Studies provide step-by-step guide to plan and carry out quality research. Questions given in each chapter will help the learner to gauge the level of understanding of the principles and applications. Clues to the use of computer packages are provided whenever necessary. Intended for undergraduate and postgraduate medical students as well as for nursing and paramedical students, the book will also be immensely useful to medical/health faculty and researchers in the field of Biostatistics.

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