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Index
21 word solution, Simmons, Nelson, and Simonsohn, 237
Achinstein, P., 68 – 69 , 296 – 297 , 369n10
ad hoc hypothesis, 90 , 107
adequacy for a problem, 297
adjustments for selection, 19 , 106 , 276 appeal procedure in, 279
when not needed, 281
Adler, A., 76 , 96
affirming the consequent invalid, 63
probabilistic, 62 – 63 , 67
severe tester rejects, 71
Akaike, H., 318 information criteria (AIC), 318 – 319
&n
bsp; score (AIC), 318n5
all flesh is grass, 222 – 223 , 296
Altman, D., 264
American Statistical Association Six Principles, 215n4
statement on P -values (ASA 2016 Guide), 17 , 215 – 216 , 272 , 395
ancillary statistic, 200
Anderson, D., 159 , 162 , 318 – 319
apophenia, 19 , 301
approximate vs. probable model, 296 – 297
argument, 60 convergent, 15 , 107 , 320
linked vs. convergent, 15
soundness/unsoundness, 61
validity/invalidity, 60
argument from error and coincidence, 14 – 16 , 85 , 210 , 285 and stringent tests, 237
argument from intentions, see intentions, argument from
Armitage, P., 46 – 50 , 303 , 398 , 430
array of models, 86 – 87 in 1919 eclipse experiments, 121 – 122
hierarchy, 109 , 237 , 300
auditing, 20 , 122 , 267 an inquiry (three questions), 122
of P -value, 43 , 94 , 154
tasks, 269 , 308
autoregressive model, 316
Bacchus, F., 415
background information and auditing, 127
and causal attribution, 233 – 235
Cox on, 233
in FIRST interpretations and Cox’ s taxonomy, 150 – 158
use of in frequentist inference, 86 , 94 , 150 , 158 , 317
Gelman on Cox, 234
bad evidence, no test (BENT), 5 – 6 , 20 , 78 , 149 , 201 , 221 , 223 , 232 , 235 , 247 , 277 , 301 , 362
Baggerly, K., 6 , 18
Bailar, J., 281n7
Bakan, D., 239 – 240
Baker, M., 286
Banerjee, A., 290 – 292
Barnard, G., 13 , 31 , 46 , 48 , 126 – 127 , 139 , 156n8 , 181 – 182 , 324 , 388 , 420 – 421
Bartlett, M., 47 , 389
batch effects, 293 – 294 , 361
Bayarri, M., 175 , 179 , 183 , 305 , 338 , 434
Bayes B-boost (incremental), 63 , 66 – 73 , 95 vs. absolute, 67 ; see also affirming the consequent (probabilistic)
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