Parametric and Semiparametric Models With Applications to Reliability, Survival Analysis, and Quality of Life
, by Nikulin, M. S.; Balakrishnan, N.; Mesbah, M.; Limnios, N.Note: Supplemental materials are not guaranteed with Rental or Used book purchases.
- ISBN: 9780817632311 | 081763231X
- Cover: Hardcover
- Copyright: 6/30/2004
Parametric and semiparametric models are tools with a wide range of applications to reliability, survival analysis, and quality of life. This self-contained volume examines these tools in survey articles written by experts currently working on the development and evaluation of models and methods. While a number of chapters deal with general theory, several explore more specific connections and recent results in "real-world" reliability theory, survival analysis and related fields. Specific topics covered include: * non-parametric estimation of lifetimes of subjects exposed to radiation * statistical analysis of simultaneous degradation-mortality data with covariates of the aged * estimation of maintenance efficiency in semiparametric imperfect repair models * cancer prognosis using survival forests * short-term health problems related to air pollution: analysis using semiparametric generalized additive models * parametric models in accelerated life testing and fuzzy data * semiparametric models in the studies of aging and longevity This book will be of use as a reference text for general statisticians, theoreticians, graduate students, reliability engineers, health researchers, and biostatisticians working in applied probability and statistics.
Preface | xix | ||||
Catherine Huber-Carol: Career and Accomplishments | xxi | ||||
Contributors | xxix | ||||
List of Tables | xxxv | ||||
List of Figures | xxxix | ||||
PART I: COX MODELS AND ANALYSES | |||||
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3 | (10) | |||
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3 | (2) | |||
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5 | (1) | |||
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5 | (1) | |||
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5 | (1) | |||
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6 | (3) | |||
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8 | (1) | |||
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9 | (1) | |||
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12 | (1) | |||
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13 | (14) | |||
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13 | (2) | |||
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15 | (2) | |||
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17 | (3) | |||
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20 | (2) | |||
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22 | (1) | |||
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22 | (5) | |||
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27 | (14) | |||
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27 | (2) | |||
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29 | (1) | |||
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30 | (2) | |||
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32 | (1) | |||
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33 | (1) | |||
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34 | (2) | |||
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36 | (1) | |||
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36 | (5) | |||
PART II: DEGRADATION MODELS AND ANALYSES | |||||
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41 | (24) | |||
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41 | (1) | |||
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42 | (2) | |||
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44 | (2) | |||
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46 | (3) | |||
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49 | (9) | |||
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58 | (4) | |||
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62 | (3) | |||
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65 | (16) | |||
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65 | (1) | |||
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66 | (3) | |||
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69 | (4) | |||
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73 | (2) | |||
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75 | (2) | |||
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77 | (2) | |||
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79 | (1) | |||
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79 | (2) | |||
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81 | (18) | |||
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82 | (1) | |||
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83 | (1) | |||
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84 | (1) | |||
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84 | (5) | |||
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86 | (1) | |||
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87 | (2) | |||
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89 | (5) | |||
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89 | (1) | |||
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90 | (4) | |||
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94 | (1) | |||
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95 | (4) | |||
PART III: ACCELERATED FAILURE TIME MODELS AND ANALYSES | |||||
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99 | (8) | |||
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99 | (1) | |||
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100 | (2) | |||
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102 | (1) | |||
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102 | (2) | |||
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104 | (1) | |||
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104 | (3) | |||
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107 | (14) | |||
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107 | (2) | |||
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109 | (3) | |||
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109 | (2) | |||
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111 | (1) | |||
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112 | (6) | |||
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112 | (5) | |||
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117 | (1) | |||
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118 | (1) | |||
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119 | (2) | |||
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121 | ||||
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121 | (1) | |||
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122 | (4) | |||
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126 | (3) | |||
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129 | (1) | |||
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130 | (5) | |||
PART IV: AGING PROPERTIES AND ANALYSES | |||||
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135 | (32) | |||
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135 | (1) | |||
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136 | (4) | |||
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140 | (3) | |||
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143 | (4) | |||
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147 | (2) | |||
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149 | (9) | |||
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149 | (2) | |||
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151 | (1) | |||
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152 | (1) | |||
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153 | (1) | |||
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154 | (1) | |||
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155 | (1) | |||
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156 | (1) | |||
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157 | (1) | |||
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158 | (1) | |||
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159 | (1) | |||
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160 | (1) | |||
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161 | (6) | |||
PART V: ANALYSES OF CENSORED AND TRUNCATED DATA | |||||
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167 | (54) | |||
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167 | (2) | |||
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169 | (2) | |||
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171 | (3) | |||
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174 | (1) | |||
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175 | (2) | |||
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177 | (1) | |||
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177 | (2) | |||
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179 | (1) | |||
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180 | (3) | |||
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183 | (2) | |||
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185 | (2) | |||
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187 | (1) | |||
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187 | (1) | |||
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188 | (2) | |||
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190 | (21) | |||
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211 | (1) | |||
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211 | (2) | |||
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213 | (3) | |||
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216 | (1) | |||
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217 | (4) | |||
PART VI: REGRESSION METHODS AND APPLICATIONS | |||||
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221 | (32) | |||
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221 | (1) | |||
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222 | (6) | |||
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223 | (2) | |||
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225 | (1) | |||
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226 | (1) | |||
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227 | (1) | |||
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227 | (1) | |||
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228 | (3) | |||
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228 | (1) | |||
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229 | (2) | |||
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231 | (5) | |||
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231 | (3) | |||
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234 | (1) | |||
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234 | (2) | |||
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236 | (1) | |||
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236 | (3) | |||
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239 | (1) | |||
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239 | (1) | |||
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240 | (2) | |||
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242 | (3) | |||
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242 | (2) | |||
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244 | (1) | |||
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245 | (3) | |||
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248 | (1) | |||
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249 | (4) | |||
PART VII: TIME SERIES ANALYSIS | |||||
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253 | (20) | |||
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253 | (1) | |||
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254 | (3) | |||
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257 | (4) | |||
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261 | (4) | |||
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265 | (8) | |||
PART VIII: INFERENTIAL ANALYSIS | |||||
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273 | (60) | |||
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273 | (1) | |||
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274 | (3) | |||
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277 | (1) | |||
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278 | (1) | |||
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279 | (3) | |||
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279 | (1) | |||
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280 | (1) | |||
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281 | (1) | |||
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282 | (1) | |||
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283 | (1) | |||
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283 | (2) | |||
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285 | (3) | |||
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288 | (3) | |||
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291 | (1) | |||
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291 | (1) | |||
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292 | (6) | |||
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292 | (1) | |||
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293 | (2) | |||
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295 | (3) | |||
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298 | (2) | |||
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300 | (4) | |||
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304 | (3) | |||
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307 | (1) | |||
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307 | (1) | |||
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308 | (7) | |||
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308 | (4) | |||
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312 | (3) | |||
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315 | (5) | |||
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315 | (3) | |||
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318 | (2) | |||
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320 | (1) | |||
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321 | (2) | |||
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323 | (6) | |||
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323 | (3) | |||
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326 | (3) | |||
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329 | (4) | |||
PART IX: MULIICENTRE STUDIES | |||||
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333 | (16) | |||
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333 | (1) | |||
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334 | (1) | |||
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335 | (7) | |||
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336 | (4) | |||
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340 | (2) | |||
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342 | (1) | |||
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343 | (1) | |||
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343 | (6) | |||
PART X: QUALITY OF LIFE STUDIES | |||||
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349 | (36) | |||
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349 | (1) | |||
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350 | (4) | |||
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354 | (2) | |||
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356 | (3) | |||
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359 | (2) | |||
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361 | (2) | |||
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363 | (1) | |||
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363 | (3) | |||
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366 | (1) | |||
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367 | (2) | |||
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369 | (7) | |||
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369 | (3) | |||
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372 | (3) | |||
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375 | (1) | |||
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376 | (3) | |||
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376 | (1) | |||
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377 | (2) | |||
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379 | (1) | |||
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380 | (5) | |||
PART XI: BREAST CANCER STUDIES | |||||
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385 | (34) | |||
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385 | (1) | |||
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386 | (1) | |||
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387 | (1) | |||
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388 | (2) | |||
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390 | (1) | |||
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391 | (6) | |||
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397 | (2) | |||
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399 | (1) | |||
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399 | (2) | |||
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401 | (5) | |||
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401 | (3) | |||
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404 | (2) | |||
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406 | (4) | |||
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410 | (3) | |||
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413 | (6) | |||
PART XII: INFERENCE FOR PROCESSES | |||||
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419 | (100) | |||
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419 | (2) | |||
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421 | (7) | |||
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428 | (8) | |||
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436 | (6) | |||
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442 | (3) | |||
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445 | (1) | |||
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445 | (2) | |||
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447 | (1) | |||
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448 | (1) | |||
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449 | (1) | |||
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450 | (2) | |||
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452 | (6) | |||
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453 | (1) | |||
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454 | (3) | |||
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457 | (1) | |||
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458 | (1) | |||
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459 | (2) | |||
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461 | (1) | |||
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461 | (2) | |||
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463 | (2) | |||
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465 | (7) | |||
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465 | (5) | |||
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470 | (2) | |||
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472 | (1) | |||
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473 | (1) | |||
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473 | (1) | |||
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474 | (3) | |||
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477 | (4) | |||
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481 | (4) | |||
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485 | (2) | |||
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487 | (1) | |||
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487 | (1) | |||
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488 | (5) | |||
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493 | (3) | |||
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496 | (2) | |||
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498 | (2) | |||
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500 | (3) | |||
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503 | (1) | |||
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503 | (2) | |||
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505 | (1) | |||
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506 | (3) | |||
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509 | (2) | |||
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511 | (1) | |||
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511 | (1) | |||
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512 | (1) | |||
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512 | (2) | |||
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514 | (5) | |||
PART XIII: PROBABILITY THEORY AND APPLICATIONS | |||||
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519 | (34) | |||
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519 | (3) | |||
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522 | (4) | |||
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526 | (2) | |||
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528 | (5) | |||
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533 | (1) | |||
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533 | (3) | |||
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536 | (2) | |||
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538 | (1) | |||
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539 | (11) | |||
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550 | (3) | |||
Index | 553 |
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