000 02299 a2200277 4500
005 20240612114210.0
008 240612b ||||| |||| 00| 0 eng d
020 _a9781118874943
082 _aW20.55.C5
_bMAC
100 _aMachin, David
_936323
245 _aSample size tables for clinical, laboratory and epidemiology studies
250 _a4th ed.
260 _bWiley,
_c2018
_aHoboken, New Jersey :
300 _aviii, 390 p. :
_c24 cm.
500 _aContent: 1 Basic Design Considerations 1 2 Further Design Considerations 29 3 Binary Outcomes 41 4 Ordered Categorical Outcomes 55 5 Continuous Outcomes 67 6 Rate Outcomes 81 7 Survival Time Outcomes 97 8 Paired Binary, Ordered Categorical and Continuous Outcomes 115 9 Confidence Intervals 135 10 Repeated Outcome Measures 155 11 Non?]Inferiority and Equivalence 167 12 Cluster Designs 193 13 Stepped Wedge Designs 211 14 More than Two Groups Designs 225 15 Genomic Targets and Dose?]Finding 235 16 Feasibility and Pilot Studies 247 17 Therapeutic Exploratory Trials: Single Arm with Binary Outcomes 265 18 Therapeutic Exploratory Trials: Survival, Dual Endpoints, Randomised and Genomic Targets 281 19 The Correlation Coefficient 303 20 Observer Agreement Studies 315 21 Reference Intervals and Receiver Operating Curves 337 22 Sample Size Software 359 Cumulative References 361 Index
520 _a Summary: This book provides statisticians and researchers with the statistical tools - equations, formulae and numerical tables - to design and plan clinical studies and carry out accurate, reliable and reproducible analysis of the data so obtained. There is no way around this as incorrect procedure in clinical studies means that the researcher's paper will not be accepted by a peer-reviewed journal. Planning and analysing clinical studies is a very complicated business and this book provides indispensible factual information.
650 _aClinical trials
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650 _aResearch design
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650 _aSample size
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650 _aStatistical methods
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700 _aCampbell, Michael J.
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700 _aTan, Say Beng
_936362
700 _aTan, Sze Huey
_936363
710 _aProQuest
_936364
942 _cBK
999 _c187344
_d187344