Applied longitudinal data analysis for epidemiology: a practical guide
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Buch |
| Sprache: | English |
| Veröffentlicht: |
New York
Cambridge University Press
2003
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| Schlagworte: | |
| Online-Zugang: | Inhaltsverzeichnis |
| Beschreibung: | XVI, 301 S. graph. Darst. |
| ISBN: | 0521819768 0521525802 |
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Datensatz im Suchindex
| _version_ | 1804129297795907584 |
|---|---|
| adam_text | Contents
Preface page xv
Acknowledgements xvi
1 Introduction 1
1.1 Introduction 1
1.2 General approach 2
1.3 Prior knowledge 2
1.4 Example 3
1.5 Software 5
1.6 Data structure 5
1.7 Statistical notation 5
2 Study design 7
2.1 Introduction 7
2.2 Observational longitudinal studies 9
2.2.1 Period and cohort effects 9
2.2.2 Other confounding effects 13
2.2.3 Example 14
2.3 Experimental (longitudinal) studies 15
3 Continuous outcome variables 18
3.1 Two measurements 18
3.1.1 Example 20
3.2 Non parametric equivalent of the paired f test 21
3.2.1 Example 22
3.3 More than two measurements 23
3.3.1 The univariate approach: a numerical example 26
3.3.2 The shape of the relationship between an outcome
variable and time 29
vii
viii Contents
3.3.3 A numerical example 30
3.3.4 Example 32
3.4 The univariate or the multivariate approach? 37
3.5 Comparing groups 38
3.5.1 The univariate approach: a numerical example 39
3.5.2 Example 41
3.6 Comments 45
3.7 Post hoc procedures 46
3.7.1 Example 47
3.8 Different contrasts 48
3.8.1 Example 49
3.9 Non parametric equivalent ofMANOVA for repeated measurements 52
3.9.1 Example 53
4 Continuous outcome variables relationships with other variables 55
4.1 Introduction 55
4.2 Traditional methods 55
4.3 Example 57
4.4 Longitudinal methods 60
4.5 Generalized estimating equations 62
4.5.1 Introduction 62
4.5.2 Working correlation structures 62
4.5.3 Interpretation of the regression coefficients derived from GEE analysis 66
4.5.4 Example 68
4.5.4.1 Introduction 68
4.5.4.2 Results of a GEE analysis 69
4.5.4.3 Different correlation structures 72
4.5.4.4 Unequally spaced time intervals 75
4.6 Random coefficient analysis 77
4.6.1 Introduction 77
4.6.2 Random coefficient analysis in longitudinal studies 77
4.6.3 Example 80
4.6.3.1 Results of a random coefficient analysis 80
4.6.3.2 Unequally spaced time intervals 88
4.6.4 Comments 88
4.7 Comparison between GEE analysis and random coefficient analysis 91
4.7.1 Extensions of random coefficient analysis 92
ix Contents
4.7.2 Equal variances over time 92
4.7.2.1 A numerical example 93
4.7.3 The correction for covariance 93
4.7.4 Comments 95
4.8 The modelling of time 95
4.8.1 Example 98
5 Other possibilities for modelling longitudinal data 102
5.1 Introduction 102
5.2 Alternative models 102
5.2.1 Time lag model 102
5.2.2 Modelling of changes 105
5.2.3 Autoregressive model 107
5.2.4 Overview 108
5.2.5 Example 108
5.2.5.1 Introduction 108
5.2.5.2 Data structure for alternative models 109
5.2.5.3 GEE analysis 109
5.2.5.4 Random coefficient analysis 112
5.3 Comments 114
5.4 Another example 118
6 Dichotomous outcome variables 120
6.1 Simple methods 120
6.1.1 Two measurements 120
6.1.2 More than two measurements 122
6.1.3 Comparing groups 122
6.1.4 Example 123
6.1.4.1 Introduction 123
6.1.4.2 Development over time 123
6.1.4.3 Comparing groups 126
6.2 Relationships with other variables 128
6.2.1 Traditional methods 128
6.2.2 Example 128
6.2.3 Sophisticated methods 129
6.2.4 Example 131
6.2.4.1 Generalized estimating equations 131
6.2.4.2 Random coefficient analysis 137
x Contents
6.2.5 Comparison between GEE analysis and random coefficient analysis 140
6.2.6 Alternative models 143
6.2.7 Comments 144
7 Categorical and count outcome variables 145
7.1 Categorical outcome variables 145
7.1.1 Two measurements 145
7.1.2 More than two measurements 146
7.1.3 Comparing groups 147
7.1.4 Example 147
7.1.5 Relationships with other variables 151
7.1.5.1 Traditional methods 151
7.1.5.2 Example 151
7.1.5.3 Sophisticated methods 152
7.1.5.4 Example 153
7.2 Count outcome variables 156
7.2.1 Example 157
7.2.1.1 Introduction 157
7.2.1.2 GEE analysis 158
7.2.1.3 Random coefficient analysis 163
7.2.2 Comparison between GEE analysis and random coefficient analysis 165
8 Longitudinal studies with two measurements: the definition and
analysis of change 167
8.1 Introduction 167
8.2 Continuous outcome variables 167
8.2.1 A numerical example 171
8.2.2 Example 173
8.3 Dichotomous and categorical outcome variables 175
8.3.1 Example 175
8.4 Comments 177
8.5 Sophisticated analyses 178
8.6 Conclusions 178
9 Analysis of experimental studies 179
9.1 Introduction 179
9.2 Example with a continuous outcome variable 181
9.2.1 Introduction 181
xi Contents
9.2.2 Simple analysis 182
9.2.3 Summary statistics 184
9.2.4 MANOVA for repeated measurements 185
9.2.4.1 MANOVA for repeated measurements corrected for the
baseline value 186
9.2.5 Sophisticated analysis 188
9.3 Example with a dichotomous outcome variable 195
9.3.1 Introduction 195
9.3.2 Simple analysis 195
9.3.3 Sophisticated analysis 196
9.4 Comments 200
10 Missing data in longitudinal studies 202
10.1 Introduction 202
10.2 Ignorable or informative missing data? 204
10.3 Example 205
10.3.1 Generating datasets with missing data 205
10.3.2 Analysis of determinants for missing data 206
10.4 Analysis performed on datasets with missing data 207
10.4.1 Example 208
10.5 Comments 212
10.6 Imputation methods 213
10.6.1 Continuous outcome variables 213
10.6.1.1 Cross sectional imputation methods 213
10.6.1.2 Longitudinal imputation methods 213
10.6.1.3 Multiple imputation method 214
10.6.2 Dichotomous and categorical outcome variables 216
10.6.3 Example 216
10.6.3.1 Continuous outcome variables 216
10.6.3.2 Dichotomous outcome variables 219
10.6.4 Comments 221
10.7 Alternative approaches 223
10.8 Conclusions 223
11 Tracking 225
11.1 Introduction 225
11.2 Continuous outcome variables 225
11.3 Dichotomous and categorical outcome variables 230
xii Contents
11.4 Example 234
11.4.1 Two measurements 235
11.4.2 More than two measurements 237
11.5 Comments 238
11.5.1 Interpretation of tracking coefficients 238
11.5.2 Risk factors for chronic diseases 239
11.5.3 Grouping of continuous outcome variables 239
11.6 Conclusions 240
12 Software for longitudinal data analysis 241
12.1 Introduction 241
12.2 GEE analysis with continuous outcome variables 241
12.2.1 STATA 241
12.2.2 SAS 243
12.2.3 S PLUS 244
12.2.4 Overview 246
12.3 GEE analysis with dichotomous outcome variables 247
12.3.1 STATA 247
12.3.2 SAS 248
12.3.3 S PLUS 249
12.3.4 Overview 250
12.4 Random coefficient analysis with continuous outcome variables 250
12.4.1 STATA 250
12.4.2 SAS 251
12.4.3 S PLUS 255
12.4.4 SPSS 257
12.4.5 MLwiN 259
12.4.6 Overview 262
12.5 Random coefficient analysis with dichotomous outcome variables 263
12.5.1 Introduction 263
12.5.2 STATA 264
12.5.3 SAS 265
12.5.4 MLwiN 269
12.5.5 Overview 270
12.6 Categorical and count outcome variables 271
12.7 Alternative approach using covariance structures 272
12.7.1 Example 274
xiii Contents
13 Sample size calculations 280
13.1 Introduction 280
13.2 Example 283
References 286
Index 295
|
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| spelling | Twisk, Jos W. R. Verfasser aut Applied longitudinal data analysis for epidemiology a practical guide Jos W.R. Twisk New York Cambridge University Press 2003 XVI, 301 S. graph. Darst. txt rdacontent n rdamedia nc rdacarrier Epidemiologie - Donnee - Etude - Longitudinal - Methode - Recherche - Methodologie - Sequence - Statistique - Temporel Temps Épidémiologie Épidémiologie - Méthodes statistiques ram Épidémiologie - Recherche - Méthodes statistiques ram Épidémiologie - Études longitudinales ram Epidemiology Longitudinal studies Epidemiology Research Statistical methods Epidemiology Statistical methods Methode (DE-588)4038971-6 gnd rswk-swf Datenanalyse (DE-588)4123037-1 gnd rswk-swf Epidemiologie (DE-588)4015016-1 gnd rswk-swf 1\p (DE-588)4123623-3 Lehrbuch gnd-content Epidemiologie (DE-588)4015016-1 s Datenanalyse (DE-588)4123037-1 s Methode (DE-588)4038971-6 s 2\p DE-604 HBZ Datenaustausch application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=009875148&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk 2\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
| spellingShingle | Twisk, Jos W. R. Applied longitudinal data analysis for epidemiology a practical guide Epidemiologie - Donnee - Etude - Longitudinal - Methode - Recherche - Methodologie - Sequence - Statistique - Temporel Temps Épidémiologie Épidémiologie - Méthodes statistiques ram Épidémiologie - Recherche - Méthodes statistiques ram Épidémiologie - Études longitudinales ram Epidemiology Longitudinal studies Epidemiology Research Statistical methods Epidemiology Statistical methods Methode (DE-588)4038971-6 gnd Datenanalyse (DE-588)4123037-1 gnd Epidemiologie (DE-588)4015016-1 gnd |
| subject_GND | (DE-588)4038971-6 (DE-588)4123037-1 (DE-588)4015016-1 (DE-588)4123623-3 |
| title | Applied longitudinal data analysis for epidemiology a practical guide |
| title_auth | Applied longitudinal data analysis for epidemiology a practical guide |
| title_exact_search | Applied longitudinal data analysis for epidemiology a practical guide |
| title_full | Applied longitudinal data analysis for epidemiology a practical guide Jos W.R. Twisk |
| title_fullStr | Applied longitudinal data analysis for epidemiology a practical guide Jos W.R. Twisk |
| title_full_unstemmed | Applied longitudinal data analysis for epidemiology a practical guide Jos W.R. Twisk |
| title_short | Applied longitudinal data analysis for epidemiology |
| title_sort | applied longitudinal data analysis for epidemiology a practical guide |
| title_sub | a practical guide |
| topic | Epidemiologie - Donnee - Etude - Longitudinal - Methode - Recherche - Methodologie - Sequence - Statistique - Temporel Temps Épidémiologie Épidémiologie - Méthodes statistiques ram Épidémiologie - Recherche - Méthodes statistiques ram Épidémiologie - Études longitudinales ram Epidemiology Longitudinal studies Epidemiology Research Statistical methods Epidemiology Statistical methods Methode (DE-588)4038971-6 gnd Datenanalyse (DE-588)4123037-1 gnd Epidemiologie (DE-588)4015016-1 gnd |
| topic_facet | Epidemiologie - Donnee - Etude - Longitudinal - Methode - Recherche - Methodologie - Sequence - Statistique - Temporel Temps Épidémiologie Épidémiologie - Méthodes statistiques Épidémiologie - Recherche - Méthodes statistiques Épidémiologie - Études longitudinales Epidemiology Longitudinal studies Epidemiology Research Statistical methods Epidemiology Statistical methods Methode Datenanalyse Epidemiologie Lehrbuch |
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