@article{
 title = {Applied Statistics with R: A Practical Guide for the Life Sciences},
 type = {article},
 year = {2023},
 pages = {900-901},
 volume = {186},
 month = {10},
 day = {1},
 id = {326ac4e2-5124-301b-8699-5afb8b6730f8},
 created = {2023-12-24T21:43:06.880Z},
 file_attached = {false},
 profile_id = {3d6b17c2-7de8-3a82-bf4f-ddb0e3081e5f},
 last_modified = {2023-12-24T21:43:06.880Z},
 read = {false},
 starred = {false},
 authored = {true},
 confirmed = {true},
 hidden = {false},
 source_type = {JOUR},
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 abstract = {Applied statistics is the application of statistical methods and techniques to solve real-world problems in diverse fields to make efficient and effective decisions. Life scientists widely employed statistical techniques from the basic to advance level. This book is an excellent effort to provide the tools in the statistical language R in an efficient manner with examples, code, and output. Although the book is especially intended for undergraduate, graduate, or post-graduate levels, it should be helpful to anyone looking for a condensed and comprehensive introduction to statistical methodologies for data analysis in relevant disciplines. The author nicely presented the important points in boxes, and at the end of each chapter, assignments are offered for practising, though answers and code can be accessed via the given GitHub link. One of the most significant advantages of this book is that the reader will be able to analyse their own data for research purposes.},
 bibtype = {article},
 author = {Hossain, Md Moyazzem},
 doi = {10.1093/jrsssa/qnad069},
 journal = {Journal of the Royal Statistical Society Series A: Statistics in Society},
 number = {4}
}

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