Survivorship analysis for clinical studies

Harris, Eugene K.; Albert, Adelin

doi:10.1201/9781003573784

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Survivorship analysis for clinical studies

Harris, Eugene K.; Albert, Adelin

1990 • CRC Press

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10.1201/9781003573784

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Abstract :

[en] This unique reference/text provides an understanding of nonparametric and quasi-parametric (regression) methods to analyze survivorship data in clinical studies-emphasizing the interpretation and reasoning behind these methods. Written for clinicians, as well as biostatisticians, Survivorship Analysis for Clinical Studies justifies each new methodology presented and clarifies its relationship to preceding material. It describes and explains established methods for summarizing the results of the majority of single-clinic survivorship studies, comparing two or more survival processes, and examining the effects of covariates on survival. Including a diskette containing programs for computing confidence bands for survival curves, this book serves as a timely reference for biostatisticians, clinicians engaged in clinical trials, pharmacologists involved in new drug testing, epidemiologists, and biomedical engineers, and as a superb text for upper-level undergraduate and graduate students, as well as participants in professional seminars on survivorship data analysis in clinical settings.

Disciplines :

Mathematics

Author, co-author :

Harris, Eugene K.; University of Virginia, Charlottesville, United States

Albert, Adelin ; Université de Liège - ULiège > Département des sciences de la santé publique

Language :

English

Title :

Survivorship analysis for clinical studies

Publication date :

1990

Publisher :

CRC Press

ISBN/EAN :

978-1-04-029403-1
978-0-8247-8400-3

Edition :

Version online est parue en 2024

Number of pages :

1 - 200

Peer reviewed :

Editorial reviewed

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since 22 July 2025

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Bibliography

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Armitage, P and Gehan, E. A. (1974): Statistical methods for the identification and use of prognostic factors. Internati. J. Cancer 13, 16-36.
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Beck, G. J. (1979). Stochastic survival models with competing risks and covariates. Biometrics 35, 427-438.
Bennett, S. (1983). Log-logistic regression models for survival data. Appi. Statist. 32, 165-171.
Berkson, J. and Gage, R. P (1950). Calculation of survival rates for cancer. Proc. Staff Meet., Mayo Clin. 25, 270-286.
Birnbaum, Z. W. (1952). Numerical tabulation of the distribution of Kolmogorov's statistic for finite sample size. J. Amer. Statist. Assoc. 47, 425-441.
Blackstone, E. H. and Kirklin, J. W (1985). Death and other time-related events after valve replacement. Circulation 72, 753-767.
Blackstone, E. H., Naftel, D. C., and Turner, M. E. Jr. (1986). The decomposition of time-varying hazard into phases, each incorporating a separate stream of concomitant information. J. Amer. Statist. Assoc., 81, 615-624.
Breslow, N. (1972). Contribution to the discussion of the paper by D. R. Cox, cited below.
Breslow, N. (1974). Covariance analysis of censored survival data. Biometrics 30, 89-99.
Breslow, N., Lubin, J. H., Marek, P, and Langholz, V{cyrillic}. (1983). Multiplicative models and cohort analysis. J. Amer. Statist. Assoc. 78, 1-12.
Byar, D. P and Corle, D. K. (1977). Selecting optimal treatment in clinical trials using covariate information. J. Chron. Dis. 30, 445-459.
Byar, D. P and Green, S. B. (1980). The choice of treatment for cancer patients based on covariate information: application to prostate cancer. Bull. Cancer (Paris) 67, 477-490.
Carter, W H., Wampler, G. L. and Stablein, D. M. (1983). Regression Analysis of Survival Data in Cancer Chemotherapy. Marel Dekker, New York.
Chiang, C. L. (1984). The Life Table and its Applications. Krieger, Malabar, Fla.
Cochran, W. G. (1954). Some methods for strengthening the common χ2 tests. Biometrics 10, 417-451.
Computer Resource Center (1988). STATA Reference Manual, Release 2, Los Angeles, Calif.
Cox, D. R. (1972). Regression models and life-tables (with discussion). J. Roy. Stat. Soc., Ser. B 34, 187-202.
Cox, D. R. (1975). Partial likelihood. Biometrika 62, 269-276.
Cox, D. R. and Snell, E. J. (1968). A general definition of residuals. J. Roy. Stat. Soc., Ser. B 30, 248-275.
Crowley, J. and Breslow, N. (1975). Remarks on the conservatism of Σ[(Ο-E)2/E] in survival data. Biometrics 31, 957-961.
Crowley, J. and Hu, M. (1977). Covariance analysis of heart transplant data. J. Amer. Statist. Assoc. 72, 27-36.
Cutler, S. J. and Ederer, E (1958). Maximum utilization of the life table method in analyzing survival. J. Chron. Dis. 8, 699-712.
Efron, B. (1977). The efficiency of Cox's likelihood function for censored data. J. Amer. Statist. Assoc. 72, 557-565.
Efron, B. (1979). Bootstrap methods: another look at the jackknife. Ann. Statist. 7, 1-26.
Efron, B. (1981). Censored data and the bootstrap. J. Amer. Statist. Assoc. 76, 312-319.
Efron, B. (1988). Logistic regression, survival analysis, and the Kaplan-Meier curve. J. Amer. Statist. Assoc. 83, 414-425.
Elveback, L. (1958). Estimation of survivorship in chronic disease: the "actuarial" method. J. Amer. Statist. Assoc. 53, 420-440.
Feigl, P and Zelen, M. (1965). Estimation of exponential survival probabilities with concomitant information. Biometrics, 21, 826-838.
Feinstein, A. R. (1989). Epidemiologic analyses of causation: The unlearned scientific lessons of randomized trials. J. Clin. Epidemiol. 42, 481-489.
Fleming, T. R., O'Fallon, J. R., O'Brien, P C., and Harrington, D. P (1980). Modified Kolmogorov-Smirnov test procedures with application to arbitrarily right-censored data. Biometrics 36, 607-625.
Fortier, G. A., Constable, W. C., Meyers, H., and Wanebo, H. J. (1986). Preoperative radiation therapy for rectal cancer. Arch. Surg. 121, 1380-1385.
Gail, M. H. (1981). Evaluating serial cancer marker studies in patients at risk of recurrent disease. Biometrics 37, 67-78.
Gaynor, J. J. (1987). The use of time dependent covariates in modelling data from an occupational cohort study, Appi. Statist. 36, 340-351.
Gehan, E. A. (1965). A generalized Wilcoxon test for comparing arbitrarily singly-censored samples. Biometrika 52, 203-223.
Gehan, E. A. (1969). Estimating survival functions from the life table. J. Chron. Dis. 21, 629-644.
Generalised Linear Interactive Modeling (GLIM) (1989). Numerical Algorithm Group, Oxford, England.
Glasser, M. (1967). Exponential survival with covariance. J. Amer. Statist. Assoc. 62, 561-568.
Gore, S. M., Pocock, S. J., and Kerr, G. R. (1984). Regression models and nonproportional hazards in the analysis of breast camcer survival. Appi. Statist. 33, 176-195.
Greenwood, M. (1926). A report on the natural duration of cancer. Reports on Public Health and Medical Subjects 33, 1-26, H. M. Stationery Office, London.
Grizzle, J. E. (1967). Continuity correction in the χ2-test for 2×2 tables. Amer. Statist. 21, 28-32.
Hall, W J. and Wellner, J. A. (1980). Confidence bands for a survival curve from censored data. Biometrika 67, 133-143.
Hazelrig, J. B., Turner, M. E. Jr., and Blackstone, E. H. (1982). Parametric survival analysis combining longitudinal and cross-sectional-censored and interval-censored data with concomitant information. Biometrics, 38, 1-15.
Kalbfleisch, J. D. and Prentice, R. L. (1980). The Statistical Analysis of Failure Time Data. Wiley, New York.
Kaplan, E. L., and Meier, P (1958). Nonparametric estimation from incomplete observations. J. Amer. Stat. Assn. 53, 457-481.
Kay, R. (1977). Proportional hazard regression models and the analysis of censored survival data. Appi. Statist. 26, 227-237.
Kay, R. (1986). Treatment effects in competing-risks analysis of prostate cancer data. Biometrics 42, 203-211.
Kay, R. (1986). A Markov model for analyzing cancer markers and disease states in survival studies. Biometrics 42, 855-865.
Klein, J. P, Klotz, J. H., and Grever, M. R. (1984). A biological marker model for predicting disease transitions. Biometrics 40, 927-936.
Krall, J. M., Uthoff, V A., and Harley, J. B. (1975). A step-up procedure for selecting variables associated with survival. Biometrics 31, 49-57.
Lawless, J. E (1982). Statistical Models and Methods for Lifetime Data. Wiley, New York.
Lee, E. T. (1980). Statistical Methods for Survival Data Analysis. Wordsworth, Calif.
Link, C. L. (1984). Confidence intervals for the survival function using Cox's proportional hazard model with covariates. Biometrics 40, 601-610.
Mantel, N. (1963). Chi-square tests with one degree of freedom: extensions of the Mantel-Haenszel procedure. J. Amer. Statist. Assoc. 58, 690-700.
Mantel, N. (1966). Evaluation of survival data and two new rank order statistics arising in its consideration. Cancer Chemotherapy Reports 50, 163-170.
Mantel, N. (1967). Ranking procedures for arbitrarily restricted observations. Biometrics 23, 65-78.
Mantel, N. and Haenszel, W. (1959). Statistical aspects of the analysis of data from retrospective studies of disease. J. Natl. Cancer Inst. 22, 719-748.
Massey, E J. Jr. (1951). The Kolmogorov-Smirnov test for goodness of fit. J. Amer. Statist. Assoc. 46, 68-78.
Merrell, M. and Shulman, L. E. (1955). Determination of prognosis in chronic disease illustrated by systemic lupus erythematosus. J. Chron. Dis. 1, 12-32.
Miller, R. G. Jr. (1981). Survival Analysis, Wiley, New York.
Miller, R. G. Jr. (1983). What price Kaplan-Meier? Biometrics 39, 1077-1081.
Moertel, C. G., Schutt, A. J., and Go, V L. W. (1978). Carcinoembryonic antigen test for recurrent colorectal carcinoma. J. Amer. Med. Assoc. 239, 1065-1066.
Myers, L. E., Paulson, D. E, Berry, W. R., Cox, E. B., Laszlo, J., and Stanley, W. (1980). A time-dependent statistical model which relates current clinical status to prognosis: application to advanced prostatic cancer. J. Chron. Dis. 33, 491-499.
Nair, V N. (1984). Confidence bands for survival functions with censored data: a comparative study. Technometrics 26, 265-275.
Nanostat: the easy-to-use statistical package (1989). Alphabridge Ltd, London, England.
Nelson, W (1972). Theory and applications of hazard plotting for censored failure data. Technometrics 14, 945-966.
Number Cruncher Statistical System (NCSS) by J. L. Hintze (1988). Version 5.5, Survival Analysis. Kaysville, Ut.
Parzen, E., Stochastic Processes (1962). Holden-Day, San Francisco.
Peto, R. (1982). Statistical aspects of cancer trials. In Treatment of Cancer, Hainan, K. E., Ed., Chapman and Hall, London.
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