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Contents
Preface xi 1 Introduction 1.1 Preliminaries, 15 m) V) e, `8 Sf! }* }0 m+ c9 @ 1.2 Censored Data, 1/ ]+ F, W; W2 z: F8 P: c% h% { 1.3 Scope of the Book, 5' W! O( vC8 E& g2 S Bibliographical Remarks, 7 2 Functions of Survival Time 87 ^. e0 c% g+ J. c- A& E 2.1 Definitions, 8( g5 Q, Y3 `+ Q0 V# U+ _ 2.2 Relationships of the Survival Functions, 15 Bibliographical Remarks, 17 oExercises, 17 Examples of Survival Data Analysis 19 3.1 Example 3.1: Comparison of Two Treatments and Three, [b6 T. M' i' ?. l) V+ y Diets, 19* ^0 `- P. Wc8 ~* U 3.2 Example 3.2: Comparison of Two Survival Patterns PUsing Life Tables, 26 3.3 Example 3.3: Fitting Survival Distributions to Remission" K" b[. q; D# C9 e. w Data, 293 C! k' `; z! v. i5 R 3.4 Example 3.4: Relative Mortality and Identification of& o4 r! @1 Ff$ H5 b% v Prognostic Factors, 32 3.5 Example 3.5: Identification of Risk Factors, 405 Y6 b+ Ll$ Z) P Bibliographical Remarks, 47( a+ |8 `- J, t Exercises, 476 O. H1 o4 P% V0 h 4Nonparametric Methods of Estimating Survival Functions 64% m3 U" x" L; A% |2 d" S0 O 4.1 Product-Limit Estimates of Survivorship Function, 65 4.2 Life-Table Analysis, 771 {1 S) G% u4 W0 W" [4 D0 y; n 4.3 Relative, Five-Year, and Corrected Survival Rates, 94 4.4 Standardized Rates and Ratios, 973 D; K; u; @# n2 s2 w* P2 ?# \ Bibliographical Remarks, 102 Exercises, 102* G0 k( PH; l6 Z5 U6 B% L$ _ 5 Nonparametric Methods for Comparing Survival Distributions 106$ ^& _% y! _( \4 x. y 5.1 Comparison of Two Survival Distributions, 106 5.2 Mantel—Haenszel Test, 121 5.3 Comparison of K (K[1]2) Samples, 125( `/ w! B4 i/ C3 dT/ W8 D! ` Bibliographical Remarks, 1318 Q. g. C3 i/ H" x8 | Exercises, 131 Some Well-Known Parametric Survival Distributions S+ N, Oand Their Applications 1345 h, v; a9 `# y* ` 6.1 Exponential Distribution, 1346 s3 c* J# V+ G 6.2 Weibull Distribution, 138* {4 Y; H4 `3 k# o, F3 m 6.3 Lognormal Distribution, 143 6.4 Gamma and Generalized Gamma Distributions, 148+ Y/ \, C( E5 h7 J- h) z4 _ 6.5 Log-Logistic Distribution, 1548 K/ |1 h/ n0 C; z 6.6 Other Survival Distributions, 155 vBibliographical Remarks, 160 ; }: gS$ ~w+ n5 G+ s& JExercises, 160' \3 U7 a- SD) H' C' D. U8 F& [/ h 7 Estimation Procedures for Parametric Survival Distributions 8 Graphical Methods for Survival Distribution Fitting 198/ `2 ]3 j) ?6 i2 l7 }7 Y 8.1 Introduction, 198/ `! }; g# Q6 R% l 8.2 Probability Plotting, 200; \+ a7 |% P* Q 8.3 Hazard Plotting, 209: V0 ]0 H( i' p" d' C& q5 x" q% Y 8.4 Cox—Snell Residual Method, 2153 @: y$ a1 e! K& [# e 9 Tests of Goodness of Fit and Distribution Selection 221 10 Parametric Methods for Comparing Two Survival Distributions 243 11 Parametric Methods for Regression Model Fitting and9 e" y# _+ F/ W/ d6 C' u' {. K Identification of Prognostic Factors 2567 P9 {! ?4 E& W2 ]9 _& }! I 12 Identification of Prognostic Factors Related to Survival Time:! g- z5 l5 z$ {, Q 13 Identification of Prognostic Factors Related to Survival Time:: S; l: z, t' j( \1 X Nonproportional Hazards Models 339 14 Identification of Risk Factors Related to Dichotomous+ x% ^8 I$ R0 c7 y. c3 h4 A/ R# ]' ~ and Polychotomous Outcomes 3778 \# c8 y# }: k; }& ]/ g; K 14.1 Univariate Analysis, 3783 `4 R, n: ?+ U9 v/ Y: m) D: j5 i 14.2 Logistic and Conditional Logistic Regression Models- S& J3 k3 L* j5 Y( u for Dichotomous Responses, 3856 ~* N/ }" N8 K: ` 14.3 Models for Polychotomous Outcomes, 413 。。。。。 |
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