東華大學圖書館 |

語系: 繁體中文

說明(常見問題)

回圖書館首頁

手機版館藏查詢

登入

回首頁

切換: 標籤 | MARC模式 | ISBD

Biostatistics with 'R' = a guide for...

SpringerLink (Online service)

FindBook

Google Book

Amazon

博客來

Biostatistics with 'R' = a guide for medical doctors /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Biostatistics with 'R'/ by Marco Moscarelli.
其他題名:	a guide for medical doctors /
作者:	Moscarelli, Marco.
出版者:	Cham :Springer International Publishing : : 2023.,
面頁冊數:	xvi, 241 p. :ill., digital ;24 cm.
內容註:	Chapter 1. Introduction -- Chapter 2. How "R" works -- Chapter 3. Exploratory data analysis in "R" -- Chapter 4. Data types in "R" -- Chapter 5. Data distribution -- Chapter 6. Precision, accuracy, indices of central tendency -- Chapter 7. Correlation -- Chapter 8. Hypothesis testing -- Chapter 9. Linear regression -- Chapter 10. Logistic regression -- Chapter 11. Survival analysis -- Chapter 12. Propensity score matching.
Contained By:	Springer Nature eBook
標題:	Biometry - Data processing. -
電子資源:	https://doi.org/10.1007/978-3-031-33073-5
ISBN:	9783031330735

Biostatistics with 'R' = a guide for medical doctors /
Moscarelli, Marco.

Biostatistics with 'R'a guide for medical doctors /[electronic resource] :by Marco Moscarelli. - Cham :Springer International Publishing :2023. - xvi, 241 p. :ill., digital ;24 cm.

Chapter 1. Introduction -- Chapter 2. How "R" works -- Chapter 3. Exploratory data analysis in "R" -- Chapter 4. Data types in "R" -- Chapter 5. Data distribution -- Chapter 6. Precision, accuracy, indices of central tendency -- Chapter 7. Correlation -- Chapter 8. Hypothesis testing -- Chapter 9. Linear regression -- Chapter 10. Logistic regression -- Chapter 11. Survival analysis -- Chapter 12. Propensity score matching.

This book aims not only to introduce fundamental biostatistics topics but to explain them through R-project (R-studio) 'R' is perhaps the more used statistical software in the medical field. It is structured as a 'scientific journey' and comes with a sham yet realistic dataset ready to be analysed. The dataset along with the R-script can be downloaded from GitHub, and each chapter has dedicated scripts that will enhance the understanding of R and biostatistics. Specifically designed for whoever works in the medical-academic environment, this practical guide will help the reader to become familiar with basic to advanced biostatistics topic (descriptive - analysis / regression etc.) and to gain solid knowledge of R.

ISBN: 9783031330735

Standard No.: 10.1007/978-3-031-33073-5doiSubjects--Topical Terms:

792978
Biometry
--Data processing.

LC Class. No.: QH323.5

Dewey Class. No.: 570.15195

Biostatistics with 'R' = a guide for medical doctors /
LDR:02105nmm a2200325 a 4500 001 2334104
003 DE-He213
005 20230814074728.0
006 m d
007 cr nn 008maaau
008 240402s2023 sz s 0 eng d
020 $a 9783031330735 $q (electronic bk.)
020 $a 9783031330728 $q (paper)
024 7 $a 10.1007/978-3-031-33073-5 $2 doi
035 $a 978-3-031-33073-5
040 $a GP $c GP
041 0 $a eng
050 4 $a QH323.5
072 7 $a MB $2 bicssc
072 7 $a MED000000 $2 bisacsh
072 7 $a MB $2 thema
082 0 4 $a 570.15195 $2 23
090 $a QH323.5 $b .M894 2023
100 1 $a Moscarelli, Marco. $3 3665420
245 1 0 $a Biostatistics with 'R' $h [electronic resource] : $b a guide for medical doctors / $c by Marco Moscarelli.
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2023.
300 $a xvi, 241 p. : $b ill., digital ; $c 24 cm.
505 0 $a Chapter 1. Introduction -- Chapter 2. How "R" works -- Chapter 3. Exploratory data analysis in "R" -- Chapter 4. Data types in "R" -- Chapter 5. Data distribution -- Chapter 6. Precision, accuracy, indices of central tendency -- Chapter 7. Correlation -- Chapter 8. Hypothesis testing -- Chapter 9. Linear regression -- Chapter 10. Logistic regression -- Chapter 11. Survival analysis -- Chapter 12. Propensity score matching.
520 $a This book aims not only to introduce fundamental biostatistics topics but to explain them through R-project (R-studio) 'R' is perhaps the more used statistical software in the medical field. It is structured as a 'scientific journey' and comes with a sham yet realistic dataset ready to be analysed. The dataset along with the R-script can be downloaded from GitHub, and each chapter has dedicated scripts that will enhance the understanding of R and biostatistics. Specifically designed for whoever works in the medical-academic environment, this practical guide will help the reader to become familiar with basic to advanced biostatistics topic (descriptive - analysis / regression etc.) and to gain solid knowledge of R.
650 0 $a Biometry $x Data processing. $3 792978
650 0 $a R (Computer program language) $3 784593
650 1 4 $a Clinical Medicine. $3 828964
650 2 4 $a Biostatistics. $3 1002712
650 2 4 $a Clinical Research. $3 3531315
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer Nature eBook
856 4 0 $u https://doi.org/10.1007/978-3-031-33073-5
950 $a Medicine (SpringerNature-11650)