| 000 | 02453nam a22002297a 4500 | ||
|---|---|---|---|
| 003 | KENaKMTC | ||
| 005 | 20260413114951.0 | ||
| 008 | 260413b |||||||| |||| 00| 0 eng d | ||
| 020 | _a9781119423645 | ||
| 040 | _cDLC | ||
| 050 |
_aR853 _b.W35 2021 |
||
| 100 |
_a Campbell Michael J. _eAuthor |
||
| 245 |
_aMedical statistics _b : a textbook for the health sciences |
||
| 250 | _a5th | ||
| 260 |
_a Chichester, West Sussex, _bWiley-Blackwell, _c2021 |
||
| 300 |
_axi, 433 pages _b : illustrations _c; 26 cm |
||
| 501 | _aMichael J. Campbell's name appears first in earlier editions | ||
| 505 | _aUses and Abuses of Medical Statistics Displaying and summarising data Summary measures for binary data Probability and distributions Populations, Samples, Standard Errors and Confidence Intervals Hypothesis testing, P-values and statistical inference Comparing two or more groups with continuously measured data Comparing groups of binary and categorical data Correlation and linear regression Logistic Regression Survival Analysis Reliability and Method Comparison Studies Evaluation of diagnostic tests Observational Studies The Randomised Controlled Trial Sample Size Issues Other statistical methods Meta-analysis Common Mistakes and Pitfalls | ||
| 520 | _aThe fifth edition of this popular textbook provides students and practitioners with a clear, concise introduction to the statistics they will come across in their regular reading of clinical papers. Written by three experts with wide teaching and consulting experience, Medical Statistics: A Textbook for the Health Sciences, 5th Edition: Assumes no prior knowledge of statistics. Covers all essential statistical methods. Completely revised, updated and expanded. Includes numerous examples and exercises on the interpretation of the statistics in papers published in medical journals. Includes a companion website with downloadable data, new separate chapters on topics such as logistic regression; diagnostic tests; assessing the quality of statistics/reading the statistics in a scientific paper and other statistical methods (such as meta-analysis; the bootstrap; imputation of missing data and summary measures for analysing longitudinal data) and additional sections on designs such as pilot/feasibility studies; cluster and stepped wedge randomised controlled trials" | ||
| 700 |
_aWalters Stephen John ,Machin David _eAuthors |
||
| 942 |
_2lcc _cBK _xV.ngeno |
||
| 999 |
_c58921 _d58921 |
||