MARC Record from marc_columbia

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001 15135462
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006 m d
007 cr cnu||||||||
008 180821s2018 flu o 000 0 eng d
035 $a(OCoLC)on1059117909
035 $a(NNC)15135462
040 $aAU@$beng$erda$epn$cAU@$dUKMGB$dOCLCO$dK6U$dOCLCO
015 $aGBB8I3988$2bnb
016 7 $a019051160$2Uk
020 $a9781351466615
020 $a1351466615
020 $z9780412244902
020 $a9781351466608
020 $a1351466607
024 8 $a10.1201/9781315137438$2doi
035 $a(OCoLC)1059117909
037 $a9781351466608$bIngram Content Group
050 4 $aQH325.5
082 04 $a304.6/4/0723
049 $aZCUA
100 1 $aCox, D. R.
245 10 $aAnalysis of Survival Data.
264 1 $aBoca Raton$bRoutledge,$c2018.
264 4 $c©2018.
300 $a1 online resource (212 pages).
336 $atext$btxt$2rdacontent
337 $acomputer$bc$2rdamedia
338 $aonline resource$bcr$2rdacarrier
490 1 $aChapman and Hall/CRC Monographs on Statistics and Applied Probability ;$vv.21
505 0 $aCover -- Title Page -- Copyright Page -- Table of Contents -- Preface -- 1: The scope of survival analysis -- 1.1 Introduction -- 1.2 The definition of failure times -- 1.3 Censoring -- 1.4 Other methods of analysis -- 1.5 Some examples -- 1.6 Computing -- Bibliographic notes, 1 -- Further results and exercises, 1 -- 2: Distributions of failure time -- 2.1 Introduction -- 2.2 Hazard function -- 2.3 Some special distributions -- 2.4 Comparison of distributions -- Bibliographic notes, 2 -- Further results and exercises, 2 -- 3: Parametric statistical analysis: single sample -- 3.1 Introduction -- 3.2 The likelihood function -- 3.3 Likelihood theory: general considerations -- 3.4 Exponentially distributed failure times -- 3.5 Proportional hazards family -- 3.6 Likelihood estimation for the Weibull distribution -- 3.7 A test for exponentiality -- Bibliographic notes, 3 -- Further results and exercises, 3 -- 4: Single-sample nonparametric methods -- 4.1 Introduction -- 4.2 Product-limit estimator -- 4.3 Greenwood's formula -- 4.4 Actuarial estimator -- 4.5 Cumulative hazard estimators: goodness of fit -- 4.6 Bayesian nonparametric methods -- Bibliographic notes, 4 -- Further results and exercises, 4 -- 5: Dependence on explanatory variables: model formulation -- 5.1 Introduction -- 5.2 Accelerated life model -- 5.3 Proportional hazards model -- 5.4 Nonmultiplicative hazard-based model -- 5.5 Transferred origin model -- 5.6 Accelerated onset model -- 5.7 Treatments with a transient effect -- 5.8 Discussion -- Bibliographic notes, 5 -- Further results and exercises, 5 -- 6: Fully parametric analysis of dependency -- 6.1 Introduction -- 6.2 Exponential distribution -- 6.3 Accelerated life model -- 6.4 Proportional hazards model -- 6.5 Sensitivity analysis -- 6.6 Some less formal methods -- Bibliographic notes, 6 -- Further results and exercises, 6.
505 8 $a7: Proportional hazards model -- 7.1 Introduction -- 7.2 The likelihood function -- 7.3 The derivatives of the log likelihood -- 7.4 Log linear hazards -- 7.5 An example -- 7.6 Discrete failure times: ties -- 7.7 The two-sample problem -- 7.8 Estimation of baseline functions: goodness of fit -- Bibliographic notes, 7 -- Further results and exercises, 7 -- 8: Time-dependent covariates -- 8.1 Introduction -- 8.2 Some applications of time-dependent covariates -- 8.3 The likelihood function -- 8.4 Partial likelihood -- 8.5 Efficiency comparisons with fully parametric models -- 8.6 Two-sample tests -- 8.7 Rank tests and the accelerated life model -- 8.8 Sampling the risk set -- 8.9 An example -- Bibliographic notes, 8 -- Further results and exercises, 8 -- 9: Several types of failure -- 9.1 Introduction -- 9.2 Some key relations -- 9.3 Statistical analysis for independent competing risks -- 9.4 Proportional hazards -- 9.5 Marked failures -- Bibliographic notes, 9 -- Further results and exercises, 9 -- 10: Bivariate survivor functions -- 10.1 Introduction -- 10.2 A 'shock' model -- 10.3 A continuous bivariate survival model -- 10.4 Testing for independence -- 10.5 Nonparametric estimation -- 10.6 Tests for equality of marginal distribution -- Bibliographic notes, 10 -- Further results and exercises, 10 -- 11: Self-consistency and the EM algorithm -- 11.1 Introduction -- 11.2 Some illustrations of the EM algorithm -- 11.3 Behaviour of the algorithm: self-consistency -- 11.4 Exponential families -- 11.5 Application to grouped multinomial likelihoods -- 11.6 Other schemes of observation -- Bibliographic notes, 11 -- Further results and exercises, 11 -- References -- Author index -- Subject index.
588 $aDescription based on publisher supplied metadata and other sources.
650 0 $aFailure time data analysis.
650 0 $aLife expectancy.
650 0 $aBiometry.
650 0 $aMortality.
650 0 $aMedical statistics.
650 6 $aAnalyse des temps entre défaillances.
650 6 $aEspérance de vie.
650 6 $aBiométrie.
650 6 $aMortalité.
650 7 $abiometrics.$2aat
650 7 $amortality.$2aat
650 7 $aBiometry.$2fast$0(OCoLC)fst00832611
650 7 $aFailure time data analysis.$2fast$0(OCoLC)fst00919850
650 7 $aLife expectancy.$2fast$0(OCoLC)fst00998268
650 7 $aMedical statistics.$2fast$0(OCoLC)fst01014672
650 7 $aMortality.$2fast$0(OCoLC)fst01026502
655 0 $aElectronic books.
655 4 $aElectronic books.
700 1 $aOakes, D. O.
776 08 $iPrint version$aCox, D. R.$tAnalysis of Survival Data$dBoca Raton : Routledge,c2018$z9780412244902
830 0 $aChapman and Hall/CRC Monographs on Statistics and Applied Probability.
856 40 $uhttp://www.columbia.edu/cgi-bin/cul/resolve?clio15135462$zTaylor & Francis eBooks
852 8 $blweb$hEBOOKS