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The conception of the cost of reproduction provides an important insight on connection between fertility and life span in living organisms. Despite substantial progress in understanding this connection many important features of fertility-longevity trade-off are masked by confounding factors,...

As one aspect of the complex feature of longevity, gene-sex interaction plays an important role in influencing human life span. With advances in molecular genetics, more studies aimed at assessing gene-sex interaction are expected. New and valid statistical methods are needed. In this paper, we...

Cause-specific mortality data on Danish monozygotic (MZ) and dizygotic (DZ) twins are used to analyze the influence of smoking and body mass index (BMI) on heritability estimates of susceptibility to coronary heart disease (CHD). The sample includes 1209 like-sexed twin pairs born between 1890...

Analysis of data on cancer incidence rates in different countries at different time periods revealed positive association between overall cancer risk and economic progress. Typical explanations of this phenomenon involve improved cancer diagnostics and elevated exposure to carcinogens in...

Frailty models are becoming more and more popular in the area of multivariate survival analysis. In particular, shared frailty models are often used despite their limitations. To overcome the disadvantages of shared frailty models numerous correlated frailty models were established during the...

We suggest a cure-mixture model to analyze bivariate time-to-event data, as motivated by the paper of Chatterjee and Shih (2001, Biometrics 57, 779 - 786), but with a simpler estimation procedure and the correlated gamma-frailty model instead of the shared gamma-frailty model. This approach...

The increase in cancer burden in developed countries refers to three major causes: population aging, an increase in the cancer incidence rate, and an improvement in the survival of cancer patients. Among these reasons, only the increase in the cancer incidence rate is a negative factor that...

A mixture model in multivariate survival analysis is presented, whereby heterogeneity among subjects creates divergent paths for the individual's risk of experiencing an event (i.e., disease), as well as for the associated length of survival. Dependence among competing risks is included and...

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