| 000 | nam a22 7a 4500 | ||
|---|---|---|---|
| 999 |
_c31063 _d31063 |
||
| 008 | 220511b xxu||||| |||| 00| 0 eng d | ||
| 020 | _a9781138048980 | ||
| 082 |
_a610.727 _bPRA |
||
| 100 | _aPradhan, Vivek | ||
| 245 | _aConfidence intervals in clinical research | ||
| 260 |
_aChapman & Hall/CRC, _b2021 _cBoca Raton : |
||
| 300 |
_axiv, 226 p., _bill., _c24 cm |
||
| 365 |
_b00 _cGRATIS _d00 |
||
| 490 | _aChapman & Hall/CRC Biostatistics Series | ||
| 504 | _aIncludes bibliographical references and index. | ||
| 520 | _aConfidence Intervals for Discrete Data in Clinical Research is designed as a toolbox for biomedical researchers. Analysis of discrete data is one of the most used yet vexing areas in clinical research. The array of methodologies available in the literature to address the inferential questions for binomial and multinomial data can be a double-edged sword. On the one hand, these methods open a rich avenue of exploration of data; on the other, the wide-ranging and competing methodologies potentially lead to conflicting inferences, adding to researchers' confusion and frustration and also leading to reporting bias. This book addresses the problems that many practitioners experience in choosing and implementing fit for purpose data analysis methods to answer critical inferential questions for binomial and count data. The book is an outgrowth of the authors' collective experience in biomedical research and provides an excellent overview of inferential questions of interest for binomial proportions and rates based on count data, and reviews various solutions to these problems available in the literature. Each chapter discusses the strengths and weaknesses of the methods and suggests practical recommendations. The book's primary focus is on applications in clinical research, and the goal is to provide direct benefit to the users involved in the biomedical field. | ||
| 650 | _aMedicine | ||
| 650 | _aResearch | ||
| 650 | _aBiology | ||
| 650 | _aAgresti and Min interval | ||
| 650 | _aMOVER intervals | ||
| 650 | _aBayesian | ||
| 650 | _aChan and Zhang's (CZ) interval | ||
| 650 | _aJeffreys intervals | ||
| 650 | _a Katz interval | ||
| 650 | _aMarkov Chain Monte Carlo (MCMC) methods | ||
| 650 | _aScore interval | ||
| 650 | _aConfidence interval | ||
| 650 | _aSAS/R code | ||
| 700 | _aMenon, Sandeep M. | ||
| 700 | _aGangopadhyay, Ashis | ||
| 700 | _aBasu, Cynthia | ||
| 700 | _aBanerjee, Tathagata | ||
| 942 |
_2ddc _cBK |
||