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, 2020
Biostatistics with R provides a straightforward introduction on how to analyse data from the wide field of biological research, including nature protection and global change monitoring.
J. Lepš, P. Šmilauer
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Biostatistics with R provides a straightforward introduction on how to analyse data from the wide field of biological research, including nature protection and global change monitoring.
J. Lepš, P. Šmilauer
semanticscholar +1 more source
Postgraduate Medicine, 1953
Some guideposts along the road leading to a happier symbiosis of clinician and statistician are presented in this article. These include points to be considered in the planning of a clinical trial if its outcome is to have statistical (and so scientific) validity and the need for control of all possible aberrant variables to make observed differences ...
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Some guideposts along the road leading to a happier symbiosis of clinician and statistician are presented in this article. These include points to be considered in the planning of a clinical trial if its outcome is to have statistical (and so scientific) validity and the need for control of all possible aberrant variables to make observed differences ...
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Biostatistical Microcomputing in Pascal.
Journal of the Royal Statistical Society. Series A (Statistics in Society), 198712. Biostatistical Microcomputing in Pascal. By J. H. Klotz and R. D. Meyer. ISBN 0 8476 7357 X. Rowman and Allanheld, 1985. 168p. $24.95.
R. D. Meyer, David Clayton, J. H. Klotz
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2019
Biostatistics can be defined as the application of the mathematical tools used in statistics to the fields of biological sciences and medicine. Here, we provide a brief introduction to selected important topics in biostatistics. Specific applications include tools for describing statistical measures to summarize data and methods for performing ...
Iuliano A., Franzese M.
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Biostatistics can be defined as the application of the mathematical tools used in statistics to the fields of biological sciences and medicine. Here, we provide a brief introduction to selected important topics in biostatistics. Specific applications include tools for describing statistical measures to summarize data and methods for performing ...
Iuliano A., Franzese M.
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Biostatistics Primer for the Radiologist
American Journal of Roentgenology, 2014The purpose of this article is to review the most common data analysis methods encountered in radiology-based studies. Initially, description of variable types and their corresponding summary measures are provided; subsequent discussion focuses on comparison of these summary measures between groups, with a particular emphasis on regression analysis ...
Michael L. Richardson +5 more
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A simpler approach to biostatistics
Gastrointestinal Endoscopy, 2011v s o o c Some readers gloss over the statistics found in research articles, trusting that the authors have “done it right.” But this is a lost opportunity to better understand the clinical significance and reliability of an article’s conclusions. This article is meant to make the most commonly used statistical terms and methods accessible to all ...
Brian C. Jacobson, Douglas Y. Rowland
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2. Biostatistics: A Methodology for the Health Sciences
, 1994This versatile reference provides a wide-ranging look at basic and advanced biostatistical concepts and methods in a format calibrated to individual interests and levels of proficiency.
S. Rudolfer +2 more
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Biostatistics Series Module 9: Survival Analysis
Indian Journal of Dermatology, 2017Survival analysis is concerned with “time to event“ data. Conventionally, it dealt with cancer death as the event in question, but it can handle any event occurring over a time frame, and this need not be always adverse in nature.
A. Hazra, N. Gogtay
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A biostatistical survey questionnaire
The Journal of Pediatrics, 1988A knowledge of basic statistical concepts is becoming increasingly important for a proper understanding of much of the medical literature. Unfortunately, most medical schools include an introductory biostatistics course only in the preclinical years. During clinical rotation and residency training, when a physician would most appreciate the need for ...
Raju, Tonse N. +3 more
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Robust Methods in Biostatistics
2009Robust statistics is an extension of classical statistics that specifically takes into account the concept that the underlying models used to describe data are only approximate. Its basic philosophy is to produce statistical procedures which are stable when the data do not exactly match the postulated models as it is the case for example with outliers.
Stephane Heritier +3 more
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