A unique and invaluable reference resource for those working in survival analysis. Survival analysis is concerned with studying the time between entry to a study and a subsequent event. Originally the analysis was concerned with time from treatment until death, hence the name, but survival analysis is applicable to many areas in addition to mortality, such as recidivism or the efficacy of drugs. The techniques can also be used in engineering and quality control (e.g. how long is a particular component likely to last?). Arranged in an A-Z format, Survival and Event History Analysis edited by Niels Keiding and Per Kragh Andersen contains 96 articles written by over 60 distinguished authors. The articles are taken from the Encyclopedia of Biostatistics, 2nd Edition. This book gives the reader a thorough grounding in the subject area and the extensive references at the end of each article provide a comprehensive source of information for further information in more depth.

Niels Keiding and Per Andersen were Section Editors in Survival Analysis for both editions of the Encyclopedia of Biostatistics. They are extremely well known in their field and have written extensively, both books and research papers.

They are based at the University of Copenhagen, and are both are on the advisory board for the journal Statistics in Medicine.

List of Contributors

vii

Series Preface

ix

Preface

xi

List of Abbreviations and Acronyms

xiii

Aalen--Johansen Estimator

1

(6)

Aalen's Additive Regression Model

7

(5)

Accelerated Failure-time Models

12

(4)

Actuarial Methods

16

(13)

Additive Hazard Models

29

(2)

Additive--Multiplicative Intensity Models

31

(4)

Aging Models

35

(5)

Age-of-onset Estimation

40

(6)

Age--Period--Cohort Analysis

46

(19)

Bayesian Approaches to Cure Rate Models

65

(7)

Bayesian Model Selection in Survival Analysis

72

(10)

Bayesian Survival Analysis

82

(13)

Bootstrapping in Survival Analysis

95

(8)

Case--Cohort Study

103

(7)

Case--Control Study, Nested

110

(9)

Censored Data

119

(5)

Coarsening at Random

124

(3)

Competing Risks

127

(10)

Compliance and Survival Analysis

137

(3)

Copula

140

(2)

Counting Process Methods in Survival Analysis

142

(14)

Cox Regression Model

156

(14)

Cure Models

170

(3)

Delayed Entry

173

(5)

Discrete Survival-time Models

178

(6)

Duration Dependence

184

(5)

Event History Analysis

189

(11)

Excess Mortality

200

(2)

Expected Number of Deaths

202

(3)

Expected Survival Curve

205

(3)

Explained Variation Measures in Survival Analysis

208

(2)

Exponential Distribution

210

(3)

Frailty

213

(8)

Ghosts

221

(1)

Goodness of Fit in Survival Analysis

222

(13)

Grenander Estimators

235

(2)

Grouped Survival Times

237

(6)

Hazard Models Based on First-passage Time Distributions

243

(3)

Hazard Plotting

246

(1)

Hazard Ratio Estimator

246

(2)

Historical Controls in Survival Analysis

248

(1)

Incidence--Prevalence Relationships

249

(3)

Influence Function in Survival Analysis

252

(3)

Interim Analysis of Censored Data

255

(5)

Interval Censoring

260

(6)

Inverse Probability Weighting in Survival Analysis

266

(7)

Joint Modeling of Longitudinal and Event Time Data

273

(6)

Kaplan--Meier Estimator

279

(6)

Kolmogorov--Smirnov and Cramer--Von Mises Tests in Survival Analysis

285

(4)

Length Bias

289

(3)

Lexis Diagram

292

(3)

Life Table

295

(4)

Linear Rank Tests in Survival Analysis

299

(10)

Logrank Test

309

(2)

Marginal Models for Multivariate Survival Data

311

(5)

Marker Processes

316

(2)

Measurement Error in Survival Analysis

318

(5)

Median Survival Time

323

(2)

Multivariate Survival Analysis

325

(8)

Nelson--Aalen Estimator

333

(5)

Nonparametric Maximum Likelihood

338

(7)

Parametric Models in Survival Analysis

345

(10)

Pareto Distribution

355

(2)

Partial Likelihood

357

(2)

Phase-type Distributions in Survival Analysis

359

(1)

Poisson Regression in Epidemiology

360

(4)

Product-integration

364

(4)

Prognostic Factors for Survival

368

(3)

Proportional Hazards, Overview

371

(1)

Proportional-odds Regression

371

(2)

Quality of Life and Survival Analysis

373

(6)

Rank Regression

379

(2)

Real Time Approach in Survival Analysis

381

(2)

Relative Risk Modeling

383

(7)

Repeated Events

390

(7)

Residuals for Survival Analysis

397

(6)

Risk Set

403

(2)

Sample Size Determination in Survival Analysis

405

(4)

Semiparametric Regression

409

(3)

Smoothing Hazard Rates

412

(10)

Staggered Entry

422

(6)

Standardization Methods

428

(13)

Structural Nested Failure Time Models

441

(17)

Surrogate Endpoints

458

(6)

Survival Analysis, Overview

464

(9)

Survival Analysis, Software

473

(5)

Survival Distributions and Their Characteristics

478

(9)

Tied Survival Times

487

(2)

Time Origin, Choice of

489

(1)

Time to Pregnancy

490

(2)

Time-dependent Covariate

492

(5)

Total Time on Test

497

(2)

Truncated Survival Times

499

(5)

Turnbull Estimator

504

(4)

Type-specific Covariates in Survival Analysis

508

(3)

Weibull Distribution

511

(2)

Author Index

513

(2)

Subject Index

515

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Survival and Event History Analysis

9780470058060

0470058064

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