Many empirical studies have proven the usefulness of period analysis in providing more up-to-date estimates of cancer patient survival than cohort-based methods. The aim of this paper is to provide a non-empirical evaluation of several survival approaches over a comprehensive range of scenarios using computer simulations. The simulation model included the following input parameters: number of annual patients, length of survival calculation, number of years of diagnosis, prognosis of cancer, follow-up period, and two additional parameters for modeling assumption on incidence and survival trends. The current study also introduced alternative cohort- and period-based approaches in addition to more traditional methods. Simulations showed that the choice of an appropriate survival approach is strongly dependent on the given scenario: period analysis was effective only for a limited number of circumstances, while alternative approaches appeared to be suitable for more realistic situations, when the follow-up period is different from the incidence period. The results of simulations could be useful for a quick identification of the most appropriate approach when estimating up-to-date cancer survival rates.

Estimating survival in newly diagnosed cancer patients: use of computer simulations to evaluate performances of different approaches in a wide range of scenarios / Rashid, I; Marcheselli, Luigi; Federico, Massimo. - In: STATISTICS IN MEDICINE. - ISSN 0277-6715. - STAMPA. - 27:12(2008), pp. 2145-2158. [10.1002/sim.3178]

Estimating survival in newly diagnosed cancer patients: use of computer simulations to evaluate performances of different approaches in a wide range of scenarios.

MARCHESELLI, Luigi;FEDERICO, Massimo
2008

Abstract

Many empirical studies have proven the usefulness of period analysis in providing more up-to-date estimates of cancer patient survival than cohort-based methods. The aim of this paper is to provide a non-empirical evaluation of several survival approaches over a comprehensive range of scenarios using computer simulations. The simulation model included the following input parameters: number of annual patients, length of survival calculation, number of years of diagnosis, prognosis of cancer, follow-up period, and two additional parameters for modeling assumption on incidence and survival trends. The current study also introduced alternative cohort- and period-based approaches in addition to more traditional methods. Simulations showed that the choice of an appropriate survival approach is strongly dependent on the given scenario: period analysis was effective only for a limited number of circumstances, while alternative approaches appeared to be suitable for more realistic situations, when the follow-up period is different from the incidence period. The results of simulations could be useful for a quick identification of the most appropriate approach when estimating up-to-date cancer survival rates.
2008
27
12
2145
2158
Estimating survival in newly diagnosed cancer patients: use of computer simulations to evaluate performances of different approaches in a wide range of scenarios / Rashid, I; Marcheselli, Luigi; Federico, Massimo. - In: STATISTICS IN MEDICINE. - ISSN 0277-6715. - STAMPA. - 27:12(2008), pp. 2145-2158. [10.1002/sim.3178]
Rashid, I; Marcheselli, Luigi; Federico, Massimo
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11380/609754
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