Analyzing medical data using S-PLUS:
Saved in:
| Main Authors: | , |
|---|---|
| Format: | Book |
| Language: | English |
| Published: |
New York [u.a]
Springer
2001
|
| Series: | Statistics for biology and health
|
| Subjects: | |
| Online Access: | Inhaltsverzeichnis |
| Item Description: | Literaturverz. S. 465 - 472 |
| Physical Description: | XII, 485 S. graph. Darst. |
| ISBN: | 0387988629 |
Staff View
MARC
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| 245 | 1 | 0 | |a Analyzing medical data using S-PLUS |c Brian Everitt ; Sophia Rabe-Hesketh |
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Record in the Search Index
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|---|---|
| adam_text | Contents
Preface v
Prologue 1
1 An Introduction to S PLUS 5
1.1 Introduction 5
1.2 Running S PLUS 5
1.3 Elementary commands 7
1.4 Vectors 9
1.5 Matrices 13
1.6 Logical expressions and subsetting matrices and vectors . . 14
1.7 List objeets 16
1.8 Data frames 18
1.9 Reading in data 19
1.10 Some commonly used S PLUS funetions for data analysis . 21
1.11 Data nianipulation 22
1.12 Modeling in S PLUS 25
1.13 User funetions 26
1.14 Graphics using the command line approach 29
1.15 The S PLUS GUI 34
1.16 Exercises 34
2 Describing Data 37
2.1 Introduction 37
viii Contents
2.2 Graphing and summarizing continuous data 37
2.3 Graphing and summarizing categorical data 44
2.4 Dotplots for classified continuous data 50
2.5 Summary 51
2.6 Using S PLUS 55
2.7 Exercises 60
3 Basic Inference 63
3.1 Introduction 63
3.2 Simple inference for continuous data 63
3.2.1 The independent samples t test 63
3.2.2 Paired i tests 70
3.3 Distribution free tests 72
3.3.1 A distribution free rank sum test—Wilcoxon/ Mann
Whitney test 72
3.3.2 A distribution free signed rank test—Wilcoxon test . 74
3.4 Simple inference for categorical data 74
3.4.1 Test for contingency table data 74
3.4.2 Fisher s exact test 77
3.4.3 The Mantel Haenszel test 78
3.4.4 McNemar s test for correlated proportions 78
3.5 An introduction to the bootstrap 81
3.6 Summary 82
3.7 Using S PLUS 83
3.8 Exercises 86
4 Scatterplots, Simple Regression and Smoothing 89
4.1 Introduction 89
4.2 The scatterplot 89
4.2.1 Jittering a scatterplot 93
4.2.2 Including information about marginal distributions
on a scatterplot 93
4.2.3 Convex hull trimming of bivariate data 95
4.2.4 The aspect ratio of a scatterplot 96
4.3 Estimating bivariate densities 102
4.4 Simple regression and locally weighted regression 105
4.5 Summary 107
4.6 Using S PLUS 110
4.7 Exercises 118
5 Analysis of Variance and Covariance 121
5.1 Introduction 121
5.2 A simple one way example 121
5.3 Multiple comparison procedures 125
5.4 A factorial experiment 127
Contents ix
5.5 Unbalanced designs 130
5.6 Analysis of covariance 132
5.7 Summary 136
5.8 Using S PLUS 138
5.9 Exercises 141
6 The Analysis of Longitudinal Data 143
6.1 Introduction 143
6.2 Graphical displays of longitudinal data 143
6.3 Summary measure analysis of longitudinal data 149
6.4 Summary 152
6.5 Using S PLUS 153
6.6 Exercises 156
7 More Graphics 157
7.1 Introduction 157
7.2 The bubbleplot 158
7.3 The scatterplot matrix . 161
7.4 Conditioning plots 162
7.5 Trellis graphics 168
7.6 Summary 169
7.7 Using S PLUS 173
7.8 Exercises 176
8 Multiple Linear Regression 179
8.1 Introduction 179
8.2 The multiple linear regression model 179
8.2.1 Anesthesia example 180
8.2.2 Cystic fibrosis example 180
8.3 Identifying a good model 188
8.3.1 All possible subsets regression 188
8.3.2 Stepwise methods 190
8.4 Checking model assumptions: residuals and other regression
diagnostics 194
8.5 The linear model 195
8.6 Summary 199
8.7 Using S PLUS 200
8.8 Exercises 203
9 Generalized Linear Models I: Logistic Regression 205
9.1 Introduction 205
9.2 Logistic regression for grouped data 206
9.3 Logistic regression for individual level data 213
9.4 Case control studies 215
9.5 Summary 216
x Contents
9.6 Using S PLUS 218
9.7 Exercises 222
10 Generalised linear models II: Poisson regression 223
10.1 Introduction 223
10.2 Poisson regression examples 225
10.3 Overdispersion 230
10.4 Diagnostics 234
10.5 Summary 234
10.6 Using S PLUS 237
10.7 Exercises 242
11 Linear Mixed Models I 243
11.1 Introduction 243
11.2 Variance components 243
11.3 Mixed effects ANOVA model 248
11.4 Linear regression with a random intercept 251
11.5 Random coefficient models 256
11.6 Summary 260
11.7 Using S PLUS 262
11.8 Exercises 268
12 Linear Mixed Models II 269
12.1 Introduction 269
12.2 Autocorrelated residuals 269
12.3 Heteroscedasticity 272
12.4 Multilevel models 274
12.5 Assessing model assumptions 277
12.6 Summary 282
12.7 Using S PLUS 283
12.8 Exercises 287
13 Generalized Additive Models 291
13.1 Introduction 291
13.2 Additive models 292
13.3 Fitting additive models 292
13.4 Some examples of the use of additive models 294
13.4.1 Heights and resting pulse and oxygen uptake and ex¬
pired ventilation 294
13.4.2 Maximal static expiratory pressure for patients with
cystic fibrosis 294
13.5 Using a logistic additive model 296
13.6 Summary 298
13.7 Using S PLUS 301
13.7.1 Using the S language 301
Contents xi
13.8 Exercises 303
14 Nonlinear models 305
14.1 Introduction 305
14.2 Nonlinear models 305
14.3 Two examples of nonlinear models 306
14.4 Age of onset of schizophrenia 314
14.5 Summary 317
14.6 Using S PLUS 322
14.6.1 Using the S language 322
14.7 Exercises 326
15 Regression Trees 327
15.1 Introduction 327
15.2 Tree based models 328
15.3 Birthweight of babies 330
15.3.1 Some simple examples of regression trees for the birth
weight data 332
15.4 More complex trees for the birthweight data 335
15.5 Summary 337
15.6 Using S PLUS 342
15.6.1 Using the S language 342
15.7 Exercises 344
16 Survival Analysis I 345
16.1 Introduction 345
16.2 The survivor function 346
16.3 The log rank test 350
16.4 The hazard function 352
16.5 Summary 353
16.6 Using S PLUS 356
16.6.1 Using the S language 356
16.7 Exercises 358
17 Survival Analysis II: Cox s Regression 361
17.1 Introduction 361
17.2 Cox s regression 361
17.3 Left truncation 364
17.4 Stratification 368
17.5 Diagnostics and assessing the proportional hazards
assumption 370
17.6 Summary 373
17.7 Using S PLUS 375
17.7.1 Using the S language 375
17.8 Exercises 378
xii Contents
18 Principal Components and Factor Analysis 381
18.1 Introduction 381
18.2 Principal components analysis 381
18.2.1 Principal components analysis of head lengths .... 382
18.2.2 Principal components analysis of nutrients in foodstuffs384
18.3 Exploratory factor analysis 389
18.4 Principal components analysis and factor analysis compared 393
18.5 Summary 396
18.6 Using S PLUS 397
18.6.1 Using the S language 397
18.7 Exercises 399
19 Cluster Analysis 401
19.1 Introduction 401
19.2 Agglomerative hierarchical clustering 401
19.2.1 Clustering foodstuffs 402
19.3 fc means clustering 403
19.4 Classification maximum likelihood 409
19.5 Summary 412
19.6 Using S PLUS 413
19.6.1 Using the S language 413
19.7 Exercises 416
20 Discriminant Function Analysis 417
20.1 Introduction 417
20.2 The linear discriminant function 418
20.3 Discriminant functions when group covariance matrices can¬
not be assumed to be equal 424
20.4 Discriminant analysis with more than two groups 425
20.5 Summary 431
20.6 Using S PLUS 433
20.6.1 Using the S language 433
20.7 Exercises 437
A The S PLUS GUI 439
A.I Introduction 439
A.2 Statistical analysis using dialogue boxes 439
A.3 Graphics using the GUI 443
B Answers to selected exercises 447
References 465
Index 473
|
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| dewey-hundreds | 600 - Technology (Applied sciences) |
| dewey-ones | 610 - Medicine and health |
| dewey-raw | 610.285 |
| dewey-search | 610.285 |
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| discipline | Biologie Mathematik Medizin |
| format | Book |
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| language | English |
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| physical | XII, 485 S. graph. Darst. |
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| publisher | Springer |
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| series2 | Statistics for biology and health |
| spelling | Everitt, Brian 1944- Verfasser (DE-588)121459411 aut Analyzing medical data using S-PLUS Brian Everitt ; Sophia Rabe-Hesketh New York [u.a] Springer 2001 XII, 485 S. graph. Darst. txt rdacontent n rdamedia nc rdacarrier Statistics for biology and health Literaturverz. S. 465 - 472 Medizinische Statistik - S-PLUS Medical statistics Computer programs S-Plus S-PLUS (DE-588)4321162-8 gnd rswk-swf Medizinische Statistik (DE-588)4127563-9 gnd rswk-swf Medizinische Statistik (DE-588)4127563-9 s S-PLUS (DE-588)4321162-8 s DE-604 Rabe-Hesketh, Sophia Verfasser (DE-588)13573116X aut HBZ Datenaustausch application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=009706215&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis |
| spellingShingle | Everitt, Brian 1944- Rabe-Hesketh, Sophia Analyzing medical data using S-PLUS Medizinische Statistik - S-PLUS Medical statistics Computer programs S-Plus S-PLUS (DE-588)4321162-8 gnd Medizinische Statistik (DE-588)4127563-9 gnd |
| subject_GND | (DE-588)4321162-8 (DE-588)4127563-9 |
| title | Analyzing medical data using S-PLUS |
| title_auth | Analyzing medical data using S-PLUS |
| title_exact_search | Analyzing medical data using S-PLUS |
| title_full | Analyzing medical data using S-PLUS Brian Everitt ; Sophia Rabe-Hesketh |
| title_fullStr | Analyzing medical data using S-PLUS Brian Everitt ; Sophia Rabe-Hesketh |
| title_full_unstemmed | Analyzing medical data using S-PLUS Brian Everitt ; Sophia Rabe-Hesketh |
| title_short | Analyzing medical data using S-PLUS |
| title_sort | analyzing medical data using s plus |
| topic | Medizinische Statistik - S-PLUS Medical statistics Computer programs S-Plus S-PLUS (DE-588)4321162-8 gnd Medizinische Statistik (DE-588)4127563-9 gnd |
| topic_facet | Medizinische Statistik - S-PLUS Medical statistics Computer programs S-Plus S-PLUS Medizinische Statistik |
| url | http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=009706215&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
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