Survival analysis using S: analysis of time-to-event data
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Buch |
| Sprache: | English |
| Veröffentlicht: |
Boca Raton, Fla. [u.a.]
Chapman & Hall/CRC
2004
|
| Schriftenreihe: | Texts in statistical science
[61] |
| Schlagworte: | |
| Online-Zugang: | Inhaltsverzeichnis |
| Beschreibung: | XV, 260 S. graph. Darst. |
| ISBN: | 1584884088 |
Internformat
MARC
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| 245 | 1 | 0 | |a Survival analysis using S |b analysis of time-to-event data |c Mara Tableman ; Jong Sung Kim |
| 264 | 1 | |a Boca Raton, Fla. [u.a.] |b Chapman & Hall/CRC |c 2004 | |
| 300 | |a XV, 260 S. |b graph. Darst. | ||
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| 338 | |b nc |2 rdacarrier | ||
| 490 | 1 | |a Texts in statistical science |v [61] | |
| 630 | 0 | 4 | |a S (Computer system) |
| 650 | 4 | |a Analyse de la survie (Biométrie) - Informatique | |
| 650 | 7 | |a Análise de sobrevivência |2 larpcal | |
| 650 | 7 | |a Overlevingsanalyse |2 gtt | |
| 650 | 7 | |a Processos estocasticos |2 larpcal | |
| 650 | 4 | |a S (Système informatique) | |
| 650 | 7 | |a S (programmeertaal) |2 gtt | |
| 650 | 4 | |a Temps entre défaillances, Analyse des - Informatique | |
| 650 | 4 | |a Datenverarbeitung | |
| 650 | 4 | |a Failure time data analysis |x Data processing | |
| 650 | 4 | |a Survival analysis (Biometry) |x Data processing | |
| 650 | 0 | 7 | |a Biostatistik |0 (DE-588)4729990-3 |2 gnd |9 rswk-swf |
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Datensatz im Suchindex
| _version_ | 1805083663742795776 |
|---|---|
| adam_text |
Titel: Survival analysis using S
Autor: Tableman, Mara
Jahr: 2004
Contents
Preface xiii
1 Introduction 1
1.1 Motivation - two examples 2
1.2 Basic definitions 5
1.3 Censoring and truncation models 9
1.4 Course objectives 18
1.5 Data entry and import /export of data files 20
1.6 Exercises 21
2 Nonparametric Methods 25
2.1 Kaplan-Meier estimator of survival 25
Redistribute-to-the-right algorithm 30
Empirical estimates of variance, hazard, quantiles, truncated
mean survival, and truncated mean residual life 32
2.2 Comparison of survivor curves: two-sample problem 39
Fisher's exact test 41
Mantel-Haenszel/log-rank test 41
Hazard ratio as a measure of effect 45
Stratifying on a covariate 46
Example of Simpson's paradox 49
2.3 Exercises 51
x CONTENTS
3 Parametric Methods 55
3.1 Frequently used (continuous) models 56
Summary 62
Construction of the Quantile-quantile (Q-Q) plot 63
3.2 Maximum likelihood estimation (MLE) 64
Delta method 66
3.3 Confidence intervals and tests 66
3.4 One-sample problem 68
3.4.1 Fitting data to the exponential model 68
3.4.2 Fitting data to the Weibull and log-logistic models 77
3.5 Two-sample problem 80
Fitting data to the Weibull, log-logistic, and log-normal models 81
Quantiles 84
Prelude to parametric regression models 88
3.6 A bivariate version of the delta method 89
3.7 The delta method for a bivariate vector field 89
3.8 General version of the likelihood ratio test 91
3.9 Exercises 92
4 Regression Models 95
4.1 Exponential regression model 96
4.2 Weibull regression model 98
4.3 Cox proportional hazards (PH) model 100
4.4 Accelerated failure time model 101
4.5 Summary 105
4.6 AIC procedure for variable selection 106
Motorette data example 107
4.7 Exercises 117
CONTENTS xi
5 The Cox Proportional Hazards Model 121
CNS lymphoma example 121
5.1 AIC procedure for variable selection 124
5.2 Stratified Cox PH regression 133
5.3 Exercises 137
5.4 Review of first five chapters: self-evaluation 139
6 Model Checking: Data Diagnostics 143
6.1 Basic graphical methods 144
6.2 Weibull regression model 147
Graphical checks of overall model adequacy 147
Deviance, Cox-Snell, martingale, and deviance residuals 148
dfbeta 152
Motorette example 152
6.3 Cox proportional hazards model 157
6.3.1 Cox-Snell residuals for assessing the overall fit of a PH
model 159
6.3.2 Martingale residuals for identifying the best functional
form of a covariate 160
6.3.3 Deviance residuals to detect possible outliers 161
6.3.4 Schoenfeld residuals to examine fit and detect outlying
covariate values 162
6.3.5 Grambsch and Therneau's test for PH assumption 164
6.3.6 dfbetas to assess influence of each observation 164
6.3.7 CNS lymphoma example: checking the adequacy of the
PH model 166
6.3.8 Cut point analysis with bootstrap validation 172
6.4 Exercises 179
7 Additional Topics 181
7.1 Extended Cox model 181
Treatment of heroin addicts example 186
7.2 Competing risks: cumulative incidence estimator 195
xii CONTENTS
7.3 Analysis of left-truncated and right-censored data 202
7.3.1 Modified Kaplan-Meier (K-M) estimator of the survivor
function for LTRC data 205
Psychiatric inpatients example 206
7.3.2 Cox PH model for LTRC data 209
7.4 Exercises 212
8 Censored Regression Quantités 213
by Stephen Portnoy
8.1 Introduction 213
8.2 What are regression quantiles? 214
8.2.1 Definition of regression quantiles 215
8.2.2 A regression quantile example 217
8.3 Doing regression quantile 220
8.4 Censored regression quantile model and Cox model 224
8.5 Computation of censored regression quantiles 227
8.5.1 The new Kaplan-Meier weights 227
8.5.2 The single-sample algorithm 228
8.5.3 The general censored regression quantile algorithm 230
8.6 Examples of censored regression quantile 232
8.6.1 Software for censored regression quantiles 233
8.6.2 CNS lymphoma example 234
8.6.3 UMARU impact study (UIS) example 239
8.7 Exercises 242
References 247
Index 251 |
| any_adam_object | 1 |
| author | Tableman, Mara |
| author_facet | Tableman, Mara |
| author_role | aut |
| author_sort | Tableman, Mara |
| author_variant | m t mt |
| building | Verbundindex |
| bvnumber | BV017154453 |
| callnumber-first | Q - Science |
| callnumber-label | QA276 |
| callnumber-raw | QA276.4 |
| callnumber-search | QA276.4 |
| callnumber-sort | QA 3276.4 |
| callnumber-subject | QA - Mathematics |
| classification_rvk | SK 830 SK 840 |
| classification_tum | DAT 368f MAT 620f BIO 107f |
| ctrlnum | (OCoLC)249306626 (DE-599)BVBBV017154453 |
| dewey-full | 519.5 |
| dewey-hundreds | 500 - Natural sciences and mathematics |
| dewey-ones | 519 - Probabilities and applied mathematics |
| dewey-raw | 519.5 |
| dewey-search | 519.5 |
| dewey-sort | 3519.5 |
| dewey-tens | 510 - Mathematics |
| discipline | Biologie Informatik Mathematik |
| format | Book |
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| indexdate | 2024-07-20T07:52:08Z |
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| isbn | 1584884088 |
| language | English |
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| physical | XV, 260 S. graph. Darst. |
| publishDate | 2004 |
| publishDateSearch | 2004 |
| publishDateSort | 2004 |
| publisher | Chapman & Hall/CRC |
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| series | Texts in statistical science |
| series2 | Texts in statistical science |
| spelling | Tableman, Mara Verfasser aut Survival analysis using S analysis of time-to-event data Mara Tableman ; Jong Sung Kim Boca Raton, Fla. [u.a.] Chapman & Hall/CRC 2004 XV, 260 S. graph. Darst. txt rdacontent n rdamedia nc rdacarrier Texts in statistical science [61] S (Computer system) Analyse de la survie (Biométrie) - Informatique Análise de sobrevivência larpcal Overlevingsanalyse gtt Processos estocasticos larpcal S (Système informatique) S (programmeertaal) gtt Temps entre défaillances, Analyse des - Informatique Datenverarbeitung Failure time data analysis Data processing Survival analysis (Biometry) Data processing Biostatistik (DE-588)4729990-3 gnd rswk-swf S Programmiersprache (DE-588)4234472-4 gnd rswk-swf Ereignisdatenanalyse (DE-588)4132103-0 gnd rswk-swf Ereignisdatenanalyse (DE-588)4132103-0 s S Programmiersprache (DE-588)4234472-4 s DE-604 Biostatistik (DE-588)4729990-3 s Kim, Jong Sung Sonstige oth Texts in statistical science [61] (DE-604)BV022819715 61 HBZ Datenaustausch application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=010341304&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis |
| spellingShingle | Tableman, Mara Survival analysis using S analysis of time-to-event data Texts in statistical science S (Computer system) Analyse de la survie (Biométrie) - Informatique Análise de sobrevivência larpcal Overlevingsanalyse gtt Processos estocasticos larpcal S (Système informatique) S (programmeertaal) gtt Temps entre défaillances, Analyse des - Informatique Datenverarbeitung Failure time data analysis Data processing Survival analysis (Biometry) Data processing Biostatistik (DE-588)4729990-3 gnd S Programmiersprache (DE-588)4234472-4 gnd Ereignisdatenanalyse (DE-588)4132103-0 gnd |
| subject_GND | (DE-588)4729990-3 (DE-588)4234472-4 (DE-588)4132103-0 |
| title | Survival analysis using S analysis of time-to-event data |
| title_auth | Survival analysis using S analysis of time-to-event data |
| title_exact_search | Survival analysis using S analysis of time-to-event data |
| title_full | Survival analysis using S analysis of time-to-event data Mara Tableman ; Jong Sung Kim |
| title_fullStr | Survival analysis using S analysis of time-to-event data Mara Tableman ; Jong Sung Kim |
| title_full_unstemmed | Survival analysis using S analysis of time-to-event data Mara Tableman ; Jong Sung Kim |
| title_short | Survival analysis using S |
| title_sort | survival analysis using s analysis of time to event data |
| title_sub | analysis of time-to-event data |
| topic | S (Computer system) Analyse de la survie (Biométrie) - Informatique Análise de sobrevivência larpcal Overlevingsanalyse gtt Processos estocasticos larpcal S (Système informatique) S (programmeertaal) gtt Temps entre défaillances, Analyse des - Informatique Datenverarbeitung Failure time data analysis Data processing Survival analysis (Biometry) Data processing Biostatistik (DE-588)4729990-3 gnd S Programmiersprache (DE-588)4234472-4 gnd Ereignisdatenanalyse (DE-588)4132103-0 gnd |
| topic_facet | S (Computer system) Analyse de la survie (Biométrie) - Informatique Análise de sobrevivência Overlevingsanalyse Processos estocasticos S (Système informatique) S (programmeertaal) Temps entre défaillances, Analyse des - Informatique Datenverarbeitung Failure time data analysis Data processing Survival analysis (Biometry) Data processing Biostatistik S Programmiersprache Ereignisdatenanalyse |
| url | http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=010341304&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
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