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Applied survival analysis : regression modeling of time-to-event data 2nd ed

Applied survival analysis : regression modeling of time-to-event data 2nd ed (23회 대출)

자료유형
단행본
개인저자
Hosmer, David W. Lemeshow, Stanley. May, Susanne.
서명 / 저자사항
Applied survival analysis : regression modeling of time-to-event data / David W. Hosmer, Stanley Lemeshow, Susanne May.
판사항
2nd ed.
발행사항
Hoboken, N.J. :   Wiley-Interscience,   c2008.  
형태사항
xiii, 392 p. : ill. ; 25 cm.
총서사항
Wiley series in probability and statistics.
ISBN
9780471754992 (cloth : alk. paper) 0471754994 (cloth : alk. paper)
서지주기
Includes bibliographical references (p. 365-381) and index.
일반주제명
Medicine -- Research -- Statistical methods. Medical sciences -- Statistical methods -- Computer programs. Regression analysis -- Data processing. Prognosis -- Statistical methods. Logistic distribution. Survival Analysis. Logistic Models. Mathematical Computing. Prognosis. Regression Analysis.
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020 ▼a 0471754994 (cloth : alk. paper)
035 ▼a (KERIS)REF000013559711
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082 0 0 ▼a 610.72/7 ▼2 22
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100 1 ▼a Hosmer, David W.
245 1 0 ▼a Applied survival analysis : ▼b regression modeling of time-to-event data / ▼c David W. Hosmer, Stanley Lemeshow, Susanne May.
250 ▼a 2nd ed.
260 ▼a Hoboken, N.J. : ▼b Wiley-Interscience, ▼c c2008.
300 ▼a xiii, 392 p. : ▼b ill. ; ▼c 25 cm.
490 1 ▼a Wiley series in probability and statistics.
504 ▼a Includes bibliographical references (p. 365-381) and index.
650 0 ▼a Medicine ▼x Research ▼x Statistical methods.
650 0 ▼a Medical sciences ▼x Statistical methods ▼x Computer programs.
650 0 ▼a Regression analysis ▼x Data processing.
650 0 ▼a Prognosis ▼x Statistical methods.
650 0 ▼a Logistic distribution.
650 1 2 ▼a Survival Analysis.
650 2 2 ▼a Logistic Models.
650 2 2 ▼a Mathematical Computing.
650 2 2 ▼a Prognosis.
650 2 2 ▼a Regression Analysis.
700 1 ▼a Lemeshow, Stanley.
700 1 ▼a May, Susanne.
945 ▼a KINS

No. 소장처 청구기호 등록번호 도서상태 반납예정일 예약 서비스
No. 1 소장처 중앙도서관/서고7층/ 청구기호 610.727 H827a2 등록번호 111558326 도서상태 대출가능 반납예정일 예약 서비스 B M
No. 2 소장처 의학도서관/자료실(3층)/ 청구기호 610.727 H827a2 등록번호 131051889 도서상태 대출가능 반납예정일 예약 서비스 B M
No. 3 소장처 세종학술정보원/과학기술실/ 청구기호 610.727 H827a2 등록번호 151300222 도서상태 대출가능 반납예정일 예약 서비스 M
No. 소장처 청구기호 등록번호 도서상태 반납예정일 예약 서비스
No. 1 소장처 중앙도서관/서고7층/ 청구기호 610.727 H827a2 등록번호 111558326 도서상태 대출가능 반납예정일 예약 서비스 B M
No. 소장처 청구기호 등록번호 도서상태 반납예정일 예약 서비스
No. 1 소장처 의학도서관/자료실(3층)/ 청구기호 610.727 H827a2 등록번호 131051889 도서상태 대출가능 반납예정일 예약 서비스 B M
No. 소장처 청구기호 등록번호 도서상태 반납예정일 예약 서비스
No. 1 소장처 세종학술정보원/과학기술실/ 청구기호 610.727 H827a2 등록번호 151300222 도서상태 대출가능 반납예정일 예약 서비스 M

컨텐츠정보

목차

Preface.

1. Introduction to Regression Modeling of Survival Data.

1.1 Introduction.

1.2 Typical Censoring Mechanisms.

1.3 Example Data Sets.

Exercises.

2. Descriptive Methods for Survival Data.

2.1 Introduction.

2.2 Estimating the Survival Function.

2.3 Using the Estimated Survival Function.

2.4 Comparison of Survival Functions.

2.5 Other Functions of Survival Time and Their Estimators.

Exercises.

3. Regression Models for Survival Data.

3.1 Introduction.

3.2 Semi-Parametric Regression Models.

3.3 Fitting the Proportional Hazards Regression Model.

3.4 Fitting the Proportional Hazards Model with Tied Survival Times.

3.5 Estimating the Survival Function of the Proportional Hazards Regression Model.

Exercises.

4. Interpretation of a Fitted Proportional Hazards Regression Model.

4.1 Introduction.

4.2 Nominal Scale Covariate.

4.3 Continuous Scale Covariate.

4.4 Multiple-Covariate Models.

4.5 Interpreting and Using the Estimated Covariate-Adjusted Survival Function.

Exercises.

5. Model Development.

5.1 Introduction.

5.2 Purposeful Selection of Covariates.

5.2.1 Methods to examine the scale of continuous covariates in the log hazard.

5.2.2 An example of purposeful selection of covariates.

5.3 Stepwise, Best-Subsets and Multivariable Fractional Polynomial Methods of Selecting Covariates.

5.3.1 Stepwise selection of covariates.

5.3.2 Best subsets selection of covariates.

5.3.3 Selecting covariates and checking their scale using multivariable fractional polynomials.

5.4 Numerical Problems.

Exercises.

6. Assessment of Model Adequacy.

6.1 Introduction.

6.2 Residuals.

6.3 Assessing the Proportional Hazards Assumption.

6.4 Identification of Influential and Poorly Fit Subjects.

6.5 Assessing Overall Goodness-of-Fit.

6.6 Interpreting and Presenting Results From the Final Model.

Exercises.

7. Extensions of the Proportional Hazards Model.

7.1 Introduction.

7.2 The Stratified Proportional Hazards Model.

7.3 Time-Varying Covariates.

7.4 Truncated, Left Censored and Interval Censored Data.

Exercises.

8. Parametric Regression Models.

8.1 Introduction.

8.2 The Exponential Regression Model.

8.3 The Weibull Regression Model.

8.4 The Log-Logistic Regression Model.

8.5 Other Parametric Regression Models.

Exercises.

9. Other Models and Topics.

9.1 Introduction.

9.2 Recurrent Event Models.

9.3 Frailty Models.

9.4 Nested Case-Control Studies.

9.5 Additive Models.

9.6 Competing Risk Models.

9.7 Sample Size and Power.

9.8 Missing Data.

Exercises.

Appendix 1: The Delta Method.

Appendix 2: An Introduction to the Counting Process Approach to Survival Analysis.

Appendix 3: Percentiles for Computation of the Hall and Wellner Confidence Band.

References.

Index.


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