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040 _aEG-GaU‬‬
_cEG-GaU‬‬
_dEG-GaU‬‬
_erda
082 0 4 _223
_a571.6
_bP.M.P
100 1 _aPagano, Marcello,
_eauthor.
_961560
245 1 0 _aPrinciples of biostatistics /
_cMarcello Pagano, Kimberlee Gauvreau, Heather Mattie.
264 1 _aBoca Raton :
_bChapman & Hall/CRC,
_c2022
300 _a620 pages :
_billustrations, tables ;
_c25 cm.
336 _2rdacontent
_atext
_btxt
337 _2rdamedia
_aunmediated
_bn
338 _2rdacarrier
_avolume
_bnc
520 _aPrinciples of Biostatistics, Third Edition is a concepts-based introduction to statistical procedures that prepares public health, medical, and life sciences students to conduct and evaluate research. With an engaging writing style and helpful graphics, the emphasis is on concepts over formulas or rote memorization. Throughout the book, the authors use practical, interesting examples with real data to bring the material to life. Thoroughly revised and updated, this third edition includes a new chapter introducing the basic principles of Study Design, as well as new sections on sample size calculations for two-sample tests on means and proportions, the Kruskal-Wallis test, and the Cox proportional hazards model. Key Features: Includes a new chapter on the basic principles of study design. Additional review exercises have been added to each chapter. Datasets and Stata and R code are available on the book’s website. The book is divided into three parts. The first five chapters deal with collections of numbers and ways in which to summarize, explore, and explain them. The next two chapters focus on probability and introduce the tools needed for the subsequent investigation of uncertainty. It is only in the eighth chapter and thereafter that the authors distinguish between populations and samples and begin to investigate the inherent variability introduced by sampling, thus progressing to inference. Postponing the slightly more difficult concepts until a solid foundation has been established makes it easier for the reader to comprehend them.
650 0 _aBiostatistics
_xStudy and teaching.
_961561
650 0 _aEpidemiology
_xStatistical methods.
_961562
700 1 _aGauvreau, Kimberlee,
_eauthor.
_961563
700 1 _aMattie, Heather,
_eauthor.
_961564
942 _2ddc
_cBK
999 _c11518
_d11518