000			03418nam a22004093i 4500
001			EBC6682980
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005			20230120125801.0
006			m o d |
007			cr cnu||||||||
008			211020s2021 xx o ||||0 eng d
020			_a9781498714648 _q(electronic bk.)
020			_z9781498714624
035			_a(MiAaPQ)EBC6682980
035			_a(Au-PeEL)EBL6682980
035			_a(OCoLC)1262374230
040			_aMiAaPQ _beng _erda _epn _cMiAaPQ _dMiAaPQ
100	1		_aKim, KyungMann.
245	1	0	_aHandbook of Statistical Methods for Randomized Controlled Trials.
264		1	_aMilton : _bCRC Press LLC, _c2021.
264		4	_c�2021.
300			_a1 online resource (655 pages)
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
490	1		_aChapman and Hall/CRC Handbooks of Modern Statistical Methods Ser.
505	0		_aCover -- Half Title -- Series Page -- Title Page -- Copyright Page -- Dedication -- Contents -- Preface -- List of Figures -- List of Tables -- Contributors -- I. Introduction to Randomized Controlled Trials -- 1. Introduction -- 1.1. Historical Background -- 1.2. Statistical Concepts -- 1.3. Organization of the Handbook -- Bibliography -- II. Analytic Methods for Randomized Controlled Trials -- 2. Binary and Ordinal Outcomes -- 2.1. Introduction -- 2.2. Analysis of 2 x 2 Contingency Tables -- 2.3. Analysis of R x C Contingency Tables -- 2.4. Analysis of Stratified 2 x 2 Contingency Tables -- 2.5. Regression Models for Binary Outcomes -- 2.5.1. Logistic regression -- 2.5.2. Estimation and inference for logistic regression -- 2.5.3. Exact logistic regression -- 2.5.4. Example -- 2.6. Regression Models for Ordinal Outcomes -- 2.6.1. Proportional odds model -- 2.6.2. Some alternative models for ordinal outcomes -- 2.6.3. Example -- 2.7. Adjustment for Baseline Response -- 2.8. Concluding Remarks -- Bibliography -- 3. Continuous Outcomes -- 3.1. Introduction -- 3.2. The t-Test (One Population) -- 3.3. The t-Test (Two Populations) -- 3.4. Mann-Whitney U-Test -- 3.5. Paired Tests -- 3.5.1. Paired t-test -- 3.5.2. Wilcoxon signed rank test -- 3.6. Multiple Comparisons -- 3.7. Regression -- 3.7.1. Residuals -- 3.7.2. Inference for linear regression -- 3.7.3. ANCOVA models -- 3.7.4. Nonlinear regression -- 3.8. Conclusion -- Bibliography -- 4. Time to Event Data -- 4.1. Introduction -- 4.2. ACTG 320 -- 4.3. Mathematical Fundamentals -- 4.3.1. Notation -- 4.3.2. Hazard -- 4.3.3. Censoring and observed data -- 4.4. Estimation of Survival Distribution -- 4.5. Hypothesis Testing -- 4.6. Cox Regression Model -- 4.7. Informative Censoring -- 4.8. Conclusion -- Bibliography -- 5. Count Data -- 5.1. Introduction -- 5.2. Regression Analysis of Simple Count Data.
588			_aDescription based on publisher supplied metadata and other sources.
590			_aElectronic reproduction. Ann Arbor, Michigan : ProQuest Ebook Central, 2021. Available via World Wide Web. Access may be limited to ProQuest Ebook Central affiliated libraries.
700	1		_aBretz, Frank.
700	1		_aCheung, Ying Kuen K.
700	1		_aHampson, Lisa V.
797	2		_aProQuest (Firm)
830		0	_aChapman and Hall/CRC Handbooks of Modern Statistical Methods Ser.
856	4	0	_uhttps://ebookcentral.proquest.com/lib/uwestlon/detail.action?docID=6682980 _zOpen e-book
942			_2ddc _n0
999			_c63257 _d63257