Pubblicazioni Metodi - Tumorinet

  1. Capocaccia R, Gatta G, Roazzi P, Carrani E, Santaquilani M, De Angelis R, Tavilla A; The EUROCARE Working Group. The EUROCARE-3 database: methodology of data collection, standardisation, quality control and statistical analysis (full text PDF). Ann Oncol. 2003;14 Suppl 5:V14-V27.

  2. Roazzi P, Capocaccia R, Santaquilani M, Carrani E; The EUROCARE Working Group. Electronic availability of EUROCARE-3 data: a tool for further analysis (full text PDF). Ann Oncol. 2003;14 Suppl 5:V150-V155.

  3. Corazziari I, Mariotto A, Capocaccia R. Correcting the completeness bias of observed prevalence. Tumori 1999 Sep-Oct;85(5):370-81.

  4. De Angelis R, Capocaccia R, Hakulinen T, Soderman B, Verdecchia A. Mixture models for cancer survival analysis: application to population-based data with covariates. Stat Med. 1999 Feb 28;18(4):441-54.

  5. Capocaccia R, De Angelis R. Estimating the completeness of prevalence based on cancer registry data. Stat Med 1997 Feb 28;16(4):425- 40.

  6. De Angelis R, Capocaccia R, Verdecchia A. Estimating relative survival of Italian cancer patients from sparse cancer registries data. Tumori 1997 Jan-Feb;83(1):33-8.

  7. Krogh V, Micheli A. Measure of cancer prevalence with a computerized program: an example on larynx cancer. Tumori. 1996 May-Jun;82(3):287-90.

  8. De Angelis G, De Angelis R, Frova L, Verdecchia A. MIAMOD: a computer package to estimate chronic disease morbidity using mortality and survival data. Comput Methods Programs Biomed 1994 Aug;44(2):99-107.

  9. Cartensen B, Storm HH, Schou G, editors. Survival of Danish cancer patients 1943-1987. Material and methods. APMIS Suppl 1993;33:3-8.

  10. Verdecchia A, Capocaccia R, Egidi V, Golini A. A method for the estimation of chronic disease morbidity and trends from mortality data. Stat Med. 1989 Feb;8(2):201-16.

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