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Anderson S., Auquier A., Hauck W.W. — Statistical methods for comparative studies: Techniques for bias reduction
Anderson S., Auquier A., Hauck W.W. — Statistical methods for comparative studies: Techniques for bias reduction



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Íàçâàíèå: Statistical methods for comparative studies: Techniques for bias reduction

Àâòîðû: Anderson S., Auquier A., Hauck W.W.

Àííîòàöèÿ:

Brings together techniques for the design and analysis of comparative studies. Methods include multivariate matching, standardization and stratification, analysis of covariance, logit analysis, and log linear analysis. Quantitatively assesses techniques' effectiveness in reducing bias. Discusses hypothesis testing, survival analysis, repeated measure design, and causal inference from comparative studies.


ßçûê: en

Ðóáðèêà: Òåõíîëîãèÿ/

Ñòàòóñ ïðåäìåòíîãî óêàçàòåëÿ: Ãîòîâ óêàçàòåëü ñ íîìåðàìè ñòðàíèö

ed2k: ed2k stats

Ãîä èçäàíèÿ: 1980

Êîëè÷åñòâî ñòðàíèö: 299

Äîáàâëåíà â êàòàëîã: 01.12.2013

Îïåðàöèè: Ïîëîæèòü íà ïîëêó | Ñêîïèðîâàòü ññûëêó äëÿ ôîðóìà | Ñêîïèðîâàòü ID
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Ïðåäìåòíûé óêàçàòåëü
Lev, J.      154 160
Liddell, F.D.K.      216 233
Life tables      201 205—216
Life testing, accelerated      227
Light, R.J.      45
Linearity      59 149—150
Linn, R.L.      239 260
Log-linear analysis      5 178—198 262
Log-linear analysis with standardization      121 127 197
Log-linear analysis, conditional independence model in      186—187
Log-linear analysis, confounding factors in      185 187 191 197
Log-linear analysis, estimation in      188—190
Log-linear analysis, fitting a model in      188—194
Log-linear analysis, goodness-of-fit in      190
Log-linear analysis, independence model in      182—183
Log-linear analysis, interaction in      185
Log-linear analysis, odds ratio in      180 184 186'
Log-linear analysis, relationship with logit analysis      167 194—197
Log-linear analysis, saturated model in      183 185 187
Log-linear analysis, studies, types of      188
Log-rank test      212—214
Logistic regression      169
Logit analysis      5 115 135 161—177 262 264
Logit analysis in case-control studies      170—171
Logit analysis of matched samples      167 272—273
Logit analysis, bias of      167
Logit analysis, hypothesis testing in      170 171—172
Logit analysis, interaction in      165 172
Logit analysis, model      162—165
Logit analysis, multiple confounding variables in      172—174
Logit analysis, parameter estimation in      167—170 174—175
Logit analysis, relation with Cox's regression model      216
Logit analysis, relationship with log-linear analysis      167 194—197
Logit transformation      163
Logit transformation, empirical      169
Longitudinal study      5 42
Longitudinal study and survival analysis      200
Lord, F.M.      52 67 156 160
Losses to follow-up      38
MacMahon, B.      14 17 21 30 38 45
Mann, N.R.      227 233
Mantel — Haenszel estimator      122 124 125 137—138 265
Mantel — Haenszel estimator in matched samples      94 104
Mantel — Haenszel estimator in survival analysis      215
Mantel — Haenzel estimator in      94 104
Mantel — Haenzel estimator in, quality of matches in      106—108
Mantel — Haenzel estimator in, regression adjustment on      266 271
Mantel, N.      122 124 128 137 171 177 224 233 234
Marks, H.H.      118 139
Matched samples, logit analysis of      167 272—273
Matching      4 56 69—112 262
Matching vs. ANCOVA      266—268
Matching vs. stratification      268—269
Matching with linear adjustment      102—103
Matching with multiple comparison subjects      103—105
Matching with multiple confounding variables      77
Matching, application to premeasure/postmeasure designs      252
Matching, caliper      73 78—84
Matching, caliper, bias reduction due to      83—84
Matching, circular      100 267
Matching, comparison control reservoir, definition of      75
Matching, directional measure of congruence      107—108
Matching, discriminant      95 102
Matching, equal percent bias reducing types      95 103
Matching, errors of measurement in      106
Matching, factors influencing bias reduction      74—77
Matching, frequency      73 75 88—90 115
Matching, frequency, bias reduction due to      90
Matching, hypothesis testing in      93—94 104—105
Matching, index of congruence      107
Matching, initial difference, definition of      76
Matching, Mahalanobis      101—102 103
Matching, mean      73—74 75 91—93
Matching, mean, bias reduction due to      97
Matching, metric      95 99 103
Matching, minimum distance      99—102
Matching, model      71 109—111
Matching, multivariate      94—103
Matching, multivariate caliper      95—97 100
Matching, multivariate caliper, bias reduction due to      97
Matching, multivariate nearest available      102
Matching, multivariate stratified      95 97—99
Matching, nearest available      73 84—87 108
Matching, nearest available, bias reduction due to      85—87
Matching, nearest available, high-low      85
Matching, nearest available, low-high      85
Matching, nearest available, random order      84 109
Matching, nonpair      73 75 109
Matching, omitted variables in      105—106
Matching, pair      73 75 93 109
Matching, reduction in sample size      266 269—270
Matching, stratified      73 87—88
Matching, stratified, bias reduction due to      87—88
Mathematical models      57 109—111
Mathematical models, specification of      57—61
Mather, H.G.      64 68
Maugh, T.H.      40 45
Maximum likelihood in logit analysis      167 174—175
Maximum likelihood in stratification      122 124 125 134—136 174
Maximum likelihood, conditional      94 104 122—124 125 134—136
McCarrll, J.R.      45 111
McDonald, J.C      233
McHugh, P.M.      68
McKinlay, S.M.      52 68 87 98 104 111 115 124 125 139 263 264 266 268 269 274
McNemar's test      94
McPeek, B.      45
McPherson, K.      233 234
Mean squared error      8 12 17
Measurement error      52—54 66
Measurement error in ANCOVA      150 156
Measurement error in matching      106
Measurement of change      238
Medalie, J.H.      176
Meier, P.      210 233
Miettinen, O.S.      104 111 121 127 139
Mills, S.D.      232
Minimum logit chi-square estimator      169—170
Models, fitting      59
Models, linear      59 109—110
Models, misspecification      71 276—277
Models, nonlinear      60 110—111
Models, selection      61 253
Models, specification      57—61 64
Modified Woolf estimator      122 124 125 136—137 265
Moon, J.H.      232
Moore, D.H.I.      168 177
Mosteller, F.      23 30 45 50 68 150 155 160 169 177 197 198 257 260
Multiple regression, model specification      50
Nelson, W.      210 233
Neufeld, H.N.      176
Neyman, J.      154 160
Nonlinear functions      60
Nonrandomized studies      13
Nonrandomized studies in survival analysis      22
Nonrandomized studies, omitted confounding factors in      47
Novick, M.      52 67
Numerical variable, definition      19
Oakes, D.      219 227 230 233
Observation bias in case-control studies      40
Observation bias in cohort studies      39
Odds      20 23
Odds ratio in case-control studies      21
Odds ratio in log-linear analysis      180 184 186
Odds ratio in logit analysis      164
Odds ratio, definition of      20
Odds ratio, in survival analysis      215 228
Odds ratio, relationship with relative risk      21 41—42 43—44
Odds ratio, stratified estimators of      87 94 104 122—126 268—269
Odds ratio, stratified estimators of, Birch's      122 124 136 265
Odds ratio, stratified estimators of, comparisons      122—126 264—265
Odds ratio, stratified estimators of, conditional maximum likelihood      122—124 125 134—136
Odds ratio, stratified estimators of, Gart's      122 125 135—136
Odds ratio, stratified estimators of, Mantel — Haenszel      122 124 137—138 265
Odds ratio, stratified estimators of, maximum likelihood      122—124 125 134—136
Odds ratio, stratified estimators of, modified Woolf      122 124 125 136—137 265
Odds ratio, stratified estimators of, Woolf's      122 124 128 136—137
Odds ratio, tests of hypotheses for      122 124 128
Omitted confounding factors      46—52
Ordered categories, definition      19
Ordered categories, log-linear models for      194
Ordered categories, scores for      19 194
Outcome factor      5
Outcome factor in survival analysis      200
Outcome factor, form of dictating measure of treatment effect      19
Outcome factor, intermediate      17
Partial likelihood      217
Partial means algorithm      91 93
Pearson, N.G.      68
Peckham, P.D.      160
Peto, J.      214 233 234
Peto, R.      202 209 214 215 222 233 234
Pike, M.C..      233 234
Pinkel, D.      232
Pocock, S.J.      35
Potthoff, R.F.      154 160
Powers, W.      171 176
PRECISION      8 17
Premeasure differences, adjustment for      236
Premeasure/postmeasure designs      235—260
Prentice, R.      274
Prentice, R.L.      202 219 227 233
Price, B.      150 155 159
Price, G.G.      159 260
Probit analysis      164
Product-limit estimator      211 229
Proportional hazards model      201
Proportional hazards model, effect of violations of      221—222
Proportional hazards model, extended      217
Proportional hazards model, testing of      219—222
Prospective cohort study      38
Proxy variable      16
Psychometric tests      52
Pugh, T.F.      14 17 21 30 38
Randomization      4 32—35
Randomization in small samples      35
Randomization, advantages of      32
Randomization, background factors when using      34—35
Randomization, definition of      32
Randomization, stratified      35
Randomization, unlucky      35
Randomized studies      13
Randomized studies in survival analysis      222
Randomized studies, adjustment techniques in, use of      34 143
Randomized studies, design of      35
Randomized studies, omitted confounding factors in      47
Rates, crude      115 129
Rates, directly standardized      119 129
Rates, indirectly standardized      119 129
Rates, specific      115 118 119 129
Read, K.L.Q.      68
Regression      23 50 141 143 162 169 261 262
Regression adjustment on matched samples      266 271
Regression effect      54—57 66
Regression model      50 140 162
Regression model in survival analysis (Cox)      202
regression toward the mean      55
Regression with grouped data      265
Reichardt, C.S.      239 260
Relative risk in survival analysis      204 212 214
Relative risk in the presence of a confounding factor      26
Relative risk, definition of      20
Relative risk, directly standardized      116 130—131
Relative risk, indirectly standardized      117
Relative risk, relationship with odds ratio      21 41—42 43—44
Reliability      52 156
Repeated measure ANOVA      238
Repeated measures designs      5 235—260
Repetition      11 17
Response factor      5
Retrospective cohort study      38
Reynolds, H.T.      180 198
Risk factor, confusion over      16—17
Risk factor, definition of      5
Risk variable, form of dictating measure of treatment effect      19
Riss, E.      176
Rogosa, D.R.      156 159 160 260
Rosner, B.      271 272 274
Rubin, D.B.      73 76 83 84 86 90 93 95 100 102 103 106 109 111 112 150 159 253 260 266 267 271 273 274
Sampling error      61—63
Sanders, J.R.      160
Schafer, R.E.      233
Schlesselman, J.J.      277 279
Schroeder, L.R.      232
Scoring for ordered categories      19 194
Seigel, D.G.      168 177
Selawry, O.S.      232
Selection effects      33—34 40 44
Self-censoring      224—226
Separation of groups on a confounding factor      63—66
Shaw, D.B.      68
Sheps, M.C.      19
Significance tests      12
Simon, R.      35 45
Simple gain      238
Singpurwalla, N.D.      233
Slinde, J.A.      239 260
Smith, A.H.      101 112
Smith, D.C.      273 274
Smith, H.      150 155 159
Smith, M.S.      166 177 179 198 236 260
Smith, P.G.      234
Smith, W.W.      176
Snedecor, G.W.      93 102 112 167 177 214 234
Snell, F.J.      50 67 221
Spears, G.F.S.      112
Spiegelman, M.      118 139
Spurr, C.L.      232
Standard errors, of an estimator      12
Standard errors, of an estimator, and random error      11 12
Standard errors, of an estimator, and systematic error      11 12
Standard mortality ratio      117 129
Standard of comparison      2 4
Standard population      10 152
Standard population, choice of      118—119 122
Standardization      5 10 115 122 128—133 262
Standardization for numerical outcomes      126
Standardization in case-control studies      121—122
Standardization of standard popultion      118—119 122
Standardization, application of log-linear analysis to      121 127 197
Standardization, application to premeasure/postmeasure designs      252
Standardization, bias of      120—121 122 130—132
Standardization, choice of procedure      119—120
Standardization, definition      114
Standardization, direct      115—117 120 121
Standardization, direct, estimators of difference of rates      120 131—132
Standardization, direct, estimators of relative risk      116 120 130—131
Standardization, equivalence of direct and indirect      132—133
Standardization, hypothesis testing in      128
Standardization, indirect      117 120—121 126 129 130—133
Standardization, indirect, estimators of difference of rates      121 131—132
Standardization, indirect, estimators of relative risk      117 121 130—131
Standardization, multiple confounding factors in      127
Standardization, precision of      121 127
standardized scores      100
Stanley, J.G.      55 67
Statistical association      8
Statistical estimation, relation to sample size      63
Statistical models      12
statistical significance      8 12
Statistical significance and non-randomized studies      13
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