| 000 | 02699cam a2200397 i 4500 | ||
|---|---|---|---|
| 999 | _c3010 | ||
| 001 | 18570292 | ||
| 003 | EC-UrYT | ||
| 005 | 20180317192551.0 | ||
| 006 | s||||gr|||| 00| 00 | ||
| 008 | 150409s2016 nyua b 001 0 eng | ||
| 010 | _a 2015013963 | ||
| 020 | _a9780199365067 | ||
| 040 |
_aDLC _beng _cDLC _erda _dEc-UrYT |
||
| 041 | _aeng | ||
| 042 | _apcc | ||
| 050 | 0 | 0 |
_aR853.S7 _bM682 2016 |
| 082 | 0 | 4 |
_a570.15195 _223 |
| 100 | 1 |
_aMotulsky, Harvey _97038 |
|
| 245 | 1 | 0 |
_aEssential biostatistics : _ba nonmathematical approach / _cHarvey Motulsky, GraphPad Software, Inc. |
| 250 | _aFirst Edition | ||
| 264 | 3 | 4 |
_aNew York : _bOxford University Press, _c2016. |
| 300 |
_axv, 192 pages: _billustrations ; _c24 cm |
||
| 504 | _aIncludes bibliographical references and index. | ||
| 505 | 2 | _aStatistics and Probability Are Not Intuitive -- The Complexities of Probability -- From Sample to Population -- Confidence Intervals -- Types of Variables -- Graphing Variability -- Quantifying Variation -- The Gaussian Distribution -- The Lognormal Distribution and Geometric Mean -- Confidence Interval for a Mean -- Error Bars -- Comparing Groups with Confidence Intervals -- Comparing Groups with P Values -- Statistical Significance and Hypothesis Testing -- Interpreting a Result that Is (Or Is Not) Statistically Significant -- How Common Are Type I Errors? -- Multiple Comparisons -- Statistical Power and Sample Size -- Commonly Used Statistical Tests -- Normality Tests -- Outliers -- Correlation -- Simple Linear Regression -- Nonlinear Regression -- Multiple and Logistic Regression -- Summary: The Key Concepts of Statistics -- Statistical Traps to Avoid | |
| 520 | 3 | _aWith its engaging and conversational tone, Essential Biostatistics: A Nonmathematical Approach provides a clear introduction to statistics for students in a wide range of fields, and a concise statistics refresher for scientists and professionals who need to interpret statistical results. It explains the ideas behind statistics in nonmathematical terms, offers perspectives on how to interpret published statistical results, and points out common conceptual traps to avoid. It can be used as a stand-alone text or as a supplement to a traditional statistics textbook | |
| 650 | 0 |
_aMedicine _xResearch _xStatistical methods. _92117 |
|
| 650 | 0 |
_aMedicina _xInvestigaciones _xMétodos estadísticos _92081 |
|
| 650 | 0 |
_aBiometry. _96467 |
|
| 650 | 0 |
_aBiometría _96468 |
|
| 650 | 0 |
_aMathematical statistics _9533 |
|
| 650 | 0 |
_aEstadística matemática _92408 |
|
| 942 |
_2ddc _cLIBRO |
||