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Biostatistics with R: An Introduction to Statistics Through Biological Data by Babak Shahbaba

Biostatistics with R: An Introduction to Statistics Through Biological Data Babak Shahbaba ebook
Publisher: Springer
Page: 369
ISBN: 146141301X, 9781461413028
Format: pdf

Biostatistical Design and Analysis Using R - A Practical Guide Maindonald J. The methodology used to estimate the U.S. We introduce and evaluate data analysis methods to interpret simultaneous measurement of multiple genomic features made on the same biological samples. Our tools use gene sets to Author Affiliations. 1 Department of Biostatistics and Computational Biology, Dana-Farber Cancer Institute, 450 Brookline Avenue, Boston, MA 02115, USA Many of these approaches are implemented in the extensively used statistical computing environment R/Bioconductor [5]. (See Technical Notes for a detailed description of the data sets used.) Methodology refined. All calculations, simulations, and plots were performed using the R statistical package [24]. The cohort life table presents the mortality experience of a particular birth cohort—all persons born in the year data for ages 66 and over. Life tables: the cohort (or generation) life table and the period (or current) life table. Using R for Data Management, Statistical Analysis, and Graphics Data Mashups in R Logan M. A Primer of Ecology with R Horton N. Data Analysis and Graphics Using R - An Example-Based Approach, 3e. Quantitative Corpus Linguistics With R - a Practical Introduction Heiberger R.