PMID: 1212415Nov 1, 1975Paper

A test of several parametic statistical models for estimating success rate in the treatment of carcinoma cervix uteri

British Journal of Cancer
R F Mould, J W Boag

Abstract

The parametric statistical models discussed include all those which have previously been described in the literature (Boag, 1948-lognormal; Berkson and Gage, 1952-negative exponential; Haybittle, 1959-extrapolated actuarial) and the basic data used to test the models comprised some 3000 case histories of patients treated between 1945 and 1962. The histories were followed up during the period treated between 1945 and 1962. The histories were followed up during the period 1969-71 and thus provided adequate information to validate long-term survival fractions predicted using short-term follow-up data. The results with the log-normal model showed that for series of staged carcinoma cervix patients treated during a 5-year period, satisfactory estimates of long-term survival fractions could be predicted after a minimum waiting period of 3 years for stages I and II, and 2 years for stage III. The model should be used with a value assumed for the lognormal paramater S in the range S = 0.35 to S = 0.40. Although alternative models often gave adequate predictions, the lognormal proved to be the most consistent model. This model may therefore now be used with more confidence for prospective studies on carcinoma cervix series and can provi...Continue Reading

Citations

Aug 1, 1990·Statistics in Medicine·J W GamelS H Rosenberg
Dec 1, 1982·The British Journal of Radiology·R F Mould
Apr 20, 2004·Medical Decision Making : an International Journal of the Society for Medical Decision Making·Shunzo MaetaniToshikuni Nishikawa
Feb 1, 1985·Cancer·L E Rutqvist, A Wallgren
Jan 1, 1993·Virchows Archiv. A, Pathological Anatomy and Histopathology·I W McLean
Sep 7, 2002·Cancer·John W GamelHilliard F Seigler
Feb 25, 2003·Cancer·John W GamelMichael J Edwards
Dec 1, 1979·Irish Journal of Medical Science·A Dunne, I A Kinsella
Jan 1, 1991·Journal of Clinical Epidemiology·S J Skates, D E Singer

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