Edmund Njeru Njagi

TL;DR: In all four cohorts, the odds of having a comorbidity and the probability of multipleComorbidities were consistently highest in the most deprived cancer patients, and the association between cancer comor bidity and socio-economic position was described.

TL;DR: Comorbidities play an important role in whether patients undergo surgery, but do not completely explain the socioeconomic difference observed in early stage patients; future work investigating access to and distance from specialist hospitals, as well as patient perceptions and patient choice in receiving surgery, could help disentangle these persistent socioeconomic inequalities.

TL;DR: A dynamic prediction approach, based on calculating dynamically-updated patient-specific conditional survival probabilities, and their confidence intervals, from a joint model for the time-to-rehospitalization and thetime-varying and possibly error-contaminated biomarker, which provides immense contribution to heart failure management.

TL;DR: Ninety-day probability of death rose with increasing deprivation, even after accounting for the main prognostic factors, and the differences between deprivation-specific averaged predicted probabilities of death were greatly reduced but persisted.

TL;DR: Using a case study in chronic heart failure, it is shown that model fit can be improved, even resulting in impact on significance tests, by switching to the extended framework, and easily estimate the framework, by maximum likelihood, in standard software.