000			02323nam a22002177a 4500
005			20241129111016.0
008			241129b |||||||| |||| 00| 0 eng d
020			_a9780367456856
082			_a519.57 _bTAB
100			_aTaback, Nathan _919133
245			_aDesign and analysis of experiments and observational studies using R
260			_bCRC Press _aBoca Raton _c2022
300			_axxii, 265 p.
365			_aGBP _b84.99
490			_aChapman & Hall/CRC Texts in Statistical Science Series
500			_aTable of content: 1 Introduction 2 Mathematical Statistics: Simulation and Computation 3 Comparing Two Treatments 4 Power and Sample Size 5 Comparing More Than Two Treatments 6 Factorial Designs at Two Levels - 2k Designs 7 Causal Inference [https://www.routledge.com/Design-and-Analysis-of-Experiments-and-Observational-Studies-using-R/Taback/p/book/9780367456856]
520			_aIntroduction to Design and Analysis of Scientific Studies exposes undergraduate and graduate students to the foundations of classical experimental design and observational studies through a modern framework - The Rubin Causal Model. A causal inference framework is important in design, data collection and analysis since it provides a framework for investigators to readily evaluate study limitations and draw appropriate conclusions. R is used to implement designs and analyse the data collected. Features: Classical experimental design with an emphasis on computation using tidyverse packages in R. Applications of experimental design to clinical trials, A/B testing, and other modern examples. Discussion of the link between classical experimental design and causal inference. The role of randomization in experimental design and sampling in the big data era. Exercises with solutions. Instructor slides in RMarkdown, a new R package will be developed to be used with book, and a bookdown version of the book will be freely available. The proposed book will emphasize ethics, communication and decision making as part of design, data analysis, and statistical thinking. (https://www.routledge.com/Design-and-Analysis-of-Experiments-and-Observational-Studies-using-R/Taback/p/book/9780367456856)
650			_aExperimental design _9818
650			_aResearch statistical methods _916611
942			_cBK _2ddc
999			_c7769 _d7769