| Preface |
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xiii | |
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xvii | |
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xix | |
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1 | (12) |
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What is a cross-over trial? |
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1 | (1) |
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With which sort of cross-over trial are we concerned? |
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2 | (1) |
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Why do cross-over trials need special consideration? |
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3 | (2) |
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5 | (2) |
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Notation, models and analysis |
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7 | (3) |
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10 | (1) |
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11 | (2) |
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The 2 x 2 cross-over trial |
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13 | (104) |
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13 | (1) |
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14 | (7) |
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The analysis using t-tests |
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21 | (9) |
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30 | (7) |
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37 | (5) |
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42 | (2) |
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Consequences of preliminary testing |
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44 | (6) |
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50 | (4) |
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A Bayesian analysis of the 2 x 2 trial |
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54 | (7) |
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The use of baseline measurements |
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61 | (9) |
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70 | (6) |
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76 | (30) |
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106 | (11) |
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Higher-order designs for two treatments |
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117 | (34) |
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117 | (1) |
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118 | (1) |
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Balaam's design for two treatments |
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119 | (4) |
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Preliminary testing in Balaam's design |
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123 | (3) |
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Three-period designs with two sequences |
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126 | (5) |
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Three-period designs with four sequences |
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131 | (4) |
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A three-period six-sequence design |
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135 | (1) |
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Which three-period design to use? |
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136 | (2) |
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Four-period designs with two sequences |
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138 | (3) |
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Four-period designs with four sequences |
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141 | (2) |
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Four-period designs with six sequences |
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143 | (1) |
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Which four-period design to use? |
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144 | (2) |
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Which two-treatment design to use? |
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146 | (5) |
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Designs for three or more treatments |
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151 | (54) |
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151 | (3) |
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Variance-balanced designs |
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154 | (23) |
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Optimality results for cross-over designs |
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177 | (3) |
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Which variance-balanced design to use? |
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180 | (1) |
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Partially balanced designs |
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181 | (9) |
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Comparing test treatments to a control |
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190 | (1) |
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Factorial treatment combinations |
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191 | (7) |
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Extending the simple model for carry-over effects |
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198 | (1) |
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Computer search algorithms |
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199 | (6) |
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Analysis of continuous data |
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205 | (76) |
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205 | (1) |
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The fixed subject effects model |
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206 | (7) |
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The random subject effects model |
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213 | (12) |
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Analysis for higher-order two-treatment designs |
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225 | (9) |
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The general linear mixed model |
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234 | (1) |
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Analysis of repeated measurements within periods |
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235 | (11) |
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Cross-over data as repeated measurements |
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246 | (17) |
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Case study: an analysis of a trial with many periods |
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263 | (18) |
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Analysis of categorical data |
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281 | (42) |
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281 | (5) |
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Binary data: subject effect models |
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286 | (17) |
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Binary data: marginal models |
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303 | (5) |
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308 | (10) |
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318 | (5) |
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323 | (28) |
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323 | (4) |
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Testing for average bioequivalence |
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327 | (9) |
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Power and sample size for ABE in the 2 x 2 design |
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336 | (1) |
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Individual bioequivalence |
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337 | (6) |
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Population bioequivalence |
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343 | (2) |
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ABE for a replicate design |
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345 | (1) |
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Kullback--Leibler divergence |
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346 | (1) |
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Modelling pharmacokinetic data |
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347 | (4) |
| A Least squares estimation |
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351 | (4) |
| B SAS code for assessing ABE, IBE and PBE |
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355 | (4) |
| References |
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359 | (18) |
| Index |
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377 | |