Abstract
One of the main problems encountered in drawing conclusions from clinical trials is the wide variability in the methods used to assess treatment efficacy. In addition, it is often difficult to put the results of a study in their proper perspective due to the large differences between trials with respect to the patient population studied and variations in the definition and evaluation of end points and toxicity. When reporting the results of treatment, it is recommended to indicate [1, 2]:
-
The total number of patients randomized or registered, irrespective of eligibility or evaluability.
-
The total number of patients randomized or registered who are eligible and treated, regardless of the amount of treatment they received.
-
The total number of patients randomized or registered, eligible, and adequately treated according to the protocol (so-called “fully evaluable”).
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
WHO Handbook for Reporting Results of Cancer Treatment. WHO Offset Publication No 48, World Health Organization, Geneva, 1979.
Miller AB, Hoogstraten B, Staquet M, Winkler A. Reporting results of cancer treatment. Cancer 47: 207–214, 1981.
Staquet M, Sylvester R, Jasmin C. Guidelines for the preparation of E.O.R.T.C. cancer clinical trial protocols. Eur J Cancer 16: 871–875, 1980.
Oken MM, Creech RH, Tormey DC, Horton J, Davis Th E, McFadden ET, Carbone PP. Toxicity and response criteria of the Eastern Cooperative Oncology Group. Am J Clin Oncol 5: 649–655, 1982.
Simon R, Wittes RE. Methodologic guidelines for reports of clinical trials. Cancer Treat Rep 69: 1–3, 1985.
Moertel CG, Hanley JA. The effect of measuring error on the results of therapeutic trials in advanced cancer. Cancer 38: 388–384, 1976.
Armitage P, Gehan EA. Statistical methods for the identification and use of prognostic factors. Int J Cancer 13: 16–36, 1974.
Bartolucci A. Estimation and comparison of proportions. In Cancer Clinical Trials: Methods and Practice, Buyse M, Staquet M, Sylvester R (eds.)., Oxford: Oxford University Press, 1984.
Mantel N, Haenzel W. Statistical aspects of the analysis of data from retrospective studies of disease. J Natl Cancer Inst 22: 719–748, 1959.
Cox DR. Analysis of Binary Data. London: Methuen and Co., 1970.
Simon R. Importance of prognostic factors in cancer clinical trials. Cancer Treat Rep 68: 185–192, 1984.
Sylvester RJ, Machin D, Staquet M. A comparison of the alternative methods of calculating survival curves arising from clinical trials. Biomedicine (special issue) 28: 49–53, 1978.
Kaplan EL, Meier P. Nonparametric estimation from incomplete observations. J Am Stat Assoc 53: 457–481, 1958.
Brookmeyer R, Crowley J. A confidence interval for the median survival time. Biometrics 38: 29–41, 1982.
Peto J. The calculation and interpretation of survival curves. In Cancer Clinical Trials: Methods and Practice, Buyse M, Staquet M, Sylvester R (eds.). Oxford: Oxford University Press, 1983.
Gehan EA, A generalized Wilcoxon test for comparing arbitrarily singly-censored samples. Biometrika 52: 203–223, 1965.
Breslow N. Comparison of survival curves. In Cancer Clinical Trials; Methods and Practice, Buyse M, Staquet M, Sylvester R (eds.). Oxford: Oxford University Press, 1984.
Cox DR. Regression models and life tables (with discussion). J R Statist Soc (B) 34: 187–220, 1972.
Lee ET. Statistical Methods for Survival Data Analysis. Belmont, Calif: Lifetime Learning Publication, 1980.
Byar DP. Analysis of survival data: Cox and Weibull models with covariates. In Statistics in Medical Research: Methods and Issues, with Applications in Cancer Research, Mike V, Stanley KE (eds.). New York: John Wiley, 1982, pp. 365–401.
Staquet MJ, Rozencweig M, Von Hoff DD, Muggia FM. The delta and epsilon errors in the assessment of cancer clinical trials. Cancer Treat Rep 63: 1917–1921, 1979.
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 1987 Martinus Nijhoff Publishing, Boston
About this chapter
Cite this chapter
Staquet, M.J., Suciu, S., Sylvester, R. (1987). Analysis of Clinical Trial Data. In: Muggia, F.M., Rozencweig, M. (eds) Clinical Evaluation of Antitumor Therapy. Developments in Oncology, vol 46. Springer, Boston, MA. https://doi.org/10.1007/978-1-4613-2317-4_10
Download citation
DOI: https://doi.org/10.1007/978-1-4613-2317-4_10
Publisher Name: Springer, Boston, MA
Print ISBN: 978-1-4612-9425-2
Online ISBN: 978-1-4613-2317-4
eBook Packages: Springer Book Archive