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Авторизация |
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Поиск по указателям |
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Cox D.R., Snell E.J. — Analysis of Binary Data |
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Предметный указатель |
Logistic function, numerical properties of 20—2 199
Logistic function, other functions, compared with 21 22 199
Logistic model, linear definition of 16 19 26
Logistic transform, definition of 16 (see also Empirical logistic transform)
logit (see Logistic)
Loglinear model 141 148 166
Lombard, H.L. 6 224
Lubin, J.H. 103 224
Lung cancer and smoking 2 3 48—9 51 76—80
Mantel, N. 60 103 206 224
Mariotto, A. 118 119 224
Maritz, J.S. 125 224
Markov chain 98—100 105
Matched pairs 4 5 52—6 104 205 207 210
Maximum likelihood, approximate solution for 200
Maximum likelihood, conditional 50—1 59 184-5 206
Maximum likelihood, empirical transform compared with 198 201
Maximum likelihood, general 19 23 171—9
Maximum likelihood, linear logistic regression, for 36—8
Maximum likelihood, nuisance parameters in 27 28 52 53 183 185
Maximum likelihood, unconditional 36—8 49
Maximum likelihood, warning against misuse of 59 183
Maxwell, A.E. 53 224
McCullagh, P. 72 103 104 124 166 187 224
McNemar, Q. 104 224
Measurement error, binary data, for 122—5 213
Measurement error, normal theory, in 120—2
Migon, H.S. 105 227
Minkin, S. 103 203 224
Misclassification 23 (see also Measurement error)
Mixed binary and continuous, response 163—6
Molenaar, I.W. 96 105 224
Montgomery, M.R. 166 224
More than two levels of response 153—60
Morineau, A. 166 223
Multidimensional scaling 150
Multinomial model 141 144 148
Multiple correlation, coefficient 208
Multiple logistic regression 10 66—9
Multiple logistic regression, automatic selection algorithm 193
Multiple logistic regression, choice of variables in 189—92
Multiple logistic regression, strategy for 192—4
Multivariate binary, response 161—3 213 214
Naylor, A.F. 22 225
Nelder, J.A. 103 104 124 166 187 224
Nodal involvement in cancer, patients 137
Nominal data 153—7 166
Non-additivity, degree of freedom for 210
Normal order statistics 78 79
Normal theory 19 52 71 169 170 174
Normality, transformation of binomial distribution, to 209
Oakes, D. 103 200 215 219
Odds ratio 20 44
Olkin, I. 166 225
Omnibus test 71
Order statistic, expected normal 78 79
Ordinal data 158—61 166
Orthogonalization, approximate, parameters, of 65 188
Outlier 67 83 104
Overdispersion 83 106—15 124
Page, E.S. 203 225
Paired preferences 149—53 159 61 214
Pairs, matched 4 5 52—6 104 205 207 210
Palmgren, J. 104 125 225
Parametrization, change of 65 173—5
Parametrization, choice of 44—5
Patterson, H.D. 6 89 198 220
Pearson curve 36
Pearson, E.S. 36 48 103 191 225
Pearson, K. 24 225
Peptic ulcer and blood groups 131
Periodogram 211
Pettigrew, H.M. 25 221
Philips, P.R. 166 215
Pierce, D.A. 104 225
Pike, M.C. 103 225
Plackett, R.L. 103 104 157 215 222 225
Point process 12 17
Poisson model 140—8
Poisson process 17
Portier, C. 124 223
Preferences, paired 149—53 159 61 214
Pregibon, D. 81 104 209 221 226
Prentice, R.L. 68 148 212 223 226
Probabilities, specified, comparison with 41—3 203
Probability plot 78—9 89 162
Probit (see Integrated normal)
Profile likelihood 37 50 52 55 181 183
Projection pursuit 198
Proportional odds model 159 166
Prospective survey 127
Psychiatric matched pair data 53
Pyke, R. 148 226
Quantal 1
Quasi-likelihood 111 114 124 169
Rainfall 12
Random effects model 113 207
Randomization test 205
Randomization theory 145 205 213
Rasch model 94—6 105 210
Rasch, G. 105 226
Regression, linear, binary data, applied directly to 13—14 18 21 136 201
Regression, linear, combination of 38
Regression, linear, simple, logistic 33—43
| Regression, multiple 66—9 188—94
Regression, two explanatory variables, with 39
Residual, deviance, definition 81
Residual, empirical logit transform, based on 73
Residual, grouped binary data, for 72—3 76—81 104 209 210
Residual, partial 82 104 209
Residual, single binary data, for 64 70 73—6
Response curve (see Integrated)
Response, condensation to binary 1
Response, definition of 1
Response, mixed binary and continuous 163—6
Response, more than two levels of 153—61
Response, multivariate 161—3
Retrospective survey 2 128—32
Richards, T. 166 224
Ries, P.N. 86 89 226
Robbins, H.E. 125 226
Robins, J. 60 103 226
Ruiz, S. 112 136 148 226
Saddle-point approximation 50 59 61 62 80 103
Sampson, D. 24
SAS 196
Saturated model, application of 61 86 115 182 201
Saturated model, definition of 44
Scales, alternative to logistic 13—18
Scales, numerical comparison of 20—3
Schaafsma, W. 104 226
Schafer, D.W. 104 225
Score, function 172 174 179
Score, test 182
Scott, D.J. 105 216
Seeds, germination of 114
Semi normal plot (see Half normal plot)
Sequential tests 203 205
Serial order 6 33 35 204
Sewell, W.H. 90 226
Shah, V.P. 90 226
Shoemaker, A.C. 104 209 223
Shrinkage 116
Silvey, S.D. 166 215
Simpson, E.H. 105 198 226
Simpson’s paradox 90 105 198
Smith, C.A.B. 204 222
Smith, H. 86 89 226
Smith, P.G. 103 225
Smoking and lung cancer 2 3 48—9 51 76—80
Smoothing 104
Snell, E.J. 82 89 92 104 132 198 209 210 219
Spearman — Karber estimate 205
Specific objectivity 95
Spiegelman, C.H. 125 217
SPSSX 196
Statistic, sufficient (see Sufficient statistic)
Stefanski, L. 125 226
Stegun, I.A. 201 215
Stimulus-response curve 8 22
Stimulus-response curve, logistic, definition of 16
Stokes, M.E. 104 223
Stuart, A. 34 35 223
Stukel, T.A. 25 226
Subjective probability, agreement with objective 43
Sufficient statistic 2 27 28 41 46
Survey, prospective 127
Survey, retrospective 2 128—32
Survival analysis, relation to 68 200
Tarone, R.E. 103 226
Tate, R.F. 166 225
Thomas, P.G. 25 221
Throat, cancer of 68—9
Thurstone model 214
Tibshirani, R. 104 199 222 226
Times series 12 96—102 105 108 210—11
Tocher, K.D. 103 227
Tolerance 15 213
Tonsil size 9
transform (see Empirical logistic transform Logistic
Transformation, linearizing 18 23 25
Transformation, normality to 209
Transformation, stable effect, to 44 199
Transformation, stimulus, of 199
Transition count 97—8
Tukey, J.W. 200 210 221 227
Unbiased empirical transform 32
Under-dispersion 107
Vandaele, W. 103 215
Variance, inflation 110 (see also Quasi-likelihood)
Variance, stabilization, angular transformation, by 22 199
Wald, A. 203 227
Walker, S.H. 10 227
Wang, P.C. 104 227
Warwick, K.M. 166 223
Wedderburn, R.W.M. 124 227
Weighted least squares 19 81 170—1
Weights, empirical estimation of 19 25
Weisberg, H.I. 103 215
Wermuth, N. 166 223
West, M. 105 227
Wilcoxon test 35
Williams, D.A. 104 114 124 227
Wisconsin schoolboys 90—2 147
Woolf, B. 24 131 227
Wu, C.F.J. 205 227
Yamamoto, E. 124 223
Yates, F. 103 208 227
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