There are several statistical methods for time‐to‐event analysis, among which is the Cox
proportional hazards model that is most commonly used. However, when the absolute …

Human papillomavirus (HPV) natural history has several characteristics that, at least from a
statistical perspective, are not often encountered elsewhere in infectious disease and cancer …

The authors constructed a Markov model as part of a systematic review of cervical cytology
conducted at the Duke University Evidence-based Practice Center (Durham, North Carolina) …

Background: Mathematical models can be useful tools in exploring disease trends and
health consequences of interventions in a population over time. Most cancers, in particular …

A Markov model was constructed in order to estimate typespecific rates of cervical lesion
progression and regression in women with high-risk human papillomavirus (HPV). The …

Multi‐state modeling is often employed to describe the progression of a disease process. In
epidemiological studies of certain diseases, the disease state is typically only observed at …

Human papillomavirus (HPV) infection is a common sexually transmitted disease of growing
public health importance, and over 40 genotypes have been identified in genital infections …

The proportional odds model may serve as a useful alternative to the Cox proportional
hazards model to study association between covariates and their survival functions in …

The objective of this study was to develop a comprehensive natural history model of human
papillomavirus (HPV) and cervical cancer using a two-step approach to model calibration. In …

A Bayesian statistical model and estimation methodology based on forward projection
adaptive Markov chain Monte Carlo is developed in order to perform the calibration of a high …