A note on the noncollapsibility of rate differences and rate ratios

A Sjölander, E Dahlqwist, J Zetterqvist - Epidemiology, 2016 - journals.lww.com
It is well known that the odds ratio is noncollapsible, in the sense that conditioning on a
covariate that is related to the outcome typically changes the size of the odds ratio, even if …

Mechanisms and mediation in survival analysis: towards an integrated analytical framework

J Pratschke, T Haase, H Comber, L Sharp… - BMC medical research …, 2016 - Springer
Background A wide-ranging debate has taken place in recent years on mediation analysis
and causal modelling, raising profound theoretical, philosophical and methodological …

The effect of adherence to statin therapy on cardiovascular mortality: quantification of unmeasured bias using falsification end-points

MJ Bijlsma, S Vansteelandt, F Janssen, E Hak - BMC Public Health, 2016 - Springer
Background To determine the clinical effectiveness of statins on cardiovascular mortality in
practice, observational studies are needed. Control for confounding is essential in any …

Educational differences in cardiovascular mortality: The role of shared family factors and cardiovascular risk factors

MKR Kjøllesdal, I Ariansen… - … journal of public …, 2016 - journals.sagepub.com
Aims: To explore the confounding effects of early family factors shared by siblings and
cardiovascular risk factors in midlife on the educational differences in mortality from …

Estimation of the overall treatment effect in the presence of interference in cluster-randomized trials of infectious disease prevention

NB Carnegie, R Wang, V De Gruttola - Epidemiologic Methods, 2016 - degruyter.com
An issue that remains challenging in the field of causal inference is how to relax the
assumption of no interference between units. Interference occurs when the treatment of one …

Age-period-cohort methodology: Confounding by birth cohort in cardiovascular pharmacoepidemiology

MJ Bijlsma - 2016 - research.rug.nl
Preventive cardiovascular drugs are of the utmost importance for population health, and
hence their information on their utilization and exact effectiveness is crucial. Clinical trials …

A New Class of Bayesian Semi-Parametric Joint Longitudinal-Survival Models for Biomarker Discovery

S Akhavan Masouleh - 2016 - escholarship.org
In studying the progression of a disease and to better predict time to death (survival data),
investigators often collect repeated measures over time (longitudinal data) and are …

[图书][B] A New Class of Bayesian Semi-Parametric Joint Longitudinal-Survival Models for Biomarker Discovery

SA Masouleh - 2016 - search.proquest.com
In studying the progression of a disease and to better predict time to death (survival data),
investigators often collect repeated measures over time (longitudinal data) and are …

Mechanisms and mediation in survival analysis: towards an integrated analytical framework.

T Haase, H Comber, L Sharp, M de Camargo Cancela… - 2016 - lenus.ie
The authors begin by summarising debates on causal inference, mediated effects and
statistical models, showing that these three strands of research have powerful synergies …

[引用][C] A New Class of Bayesian Semi-Parametric Joint Longitudinal-Survival Models for Biomarker

S Akhavan Masouleh - 2016