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Cox D.R., Snell E.J. — Analysis of Binary Data
Cox D.R., Snell E.J. — Analysis of Binary Data



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Название: Analysis of Binary Data

Авторы: Cox D.R., Snell E.J.

Аннотация:

The first edition of this book (1970) set out a systematic basis for the analysis of binary data and in particular for the study of how the probability of "success" depends on explanatory variables. The first edition has been widely used and the general level and style have been preserved in the second edition which contains a substantial amount of new material. This amplifies matters dealt with only cryptically in the first edition and deals with many more recent developments. Also the whole material has been reorganized, in particular to put more emphasis on maximum likelihood methods.
There are nearly 60 further results and exercises. The main points are illustrated by practical examples, many of them not in the first edition, and some general essential background material is set out in new Appendices.
A complete list of titles in this series appears at the front of the book.


Язык: en

Рубрика: Computer science/

Статус предметного указателя: Готов указатель с номерами страниц

ed2k: ed2k stats

Издание: 2nd

Год издания: 1989

Количество страниц: 236

Добавлена в каталог: 01.04.2012

Операции: Положить на полку | Скопировать ссылку для форума | Скопировать ID
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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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