Modelling adult mortality in small populations: The SAINT model
SF Jarner, EM Kryger - ASTIN Bulletin: The Journal of the IAA, 2011 - cambridge.org
The mortality evolution of small populations often exhibits substantial variability and irregular
improvement patterns making it hard to identify underlying trends and produce plausible …
improvement patterns making it hard to identify underlying trends and produce plausible …
Long-term mental health outcomes in mothers and siblings of children with cancer: A population-based, matched cohort study
J Van Warmerdam, R Sutradhar, P Kurdyak… - Journal of Clinical …, 2020 - ascopubs.org
PURPOSE Although a diagnosis of childhood cancer can have a profound effect on the
entire family unit, its impact on the long-term mental health of family members is not well …
entire family unit, its impact on the long-term mental health of family members is not well …
First a job, then a child? Subgroup variation in women's employment-fertility link
Both macro and micro level research exhibits signs of a turnaround in the relation between
female labour force participation and fertility. However, it can be expected that this …
female labour force participation and fertility. However, it can be expected that this …
Preventing depressive relapse and recurrence in higher-risk cognitive therapy responders: a randomized trial of continuation phase cognitive therapy, fluoxetine, or …
Importance Strategies to improve the course of recurrent major depressive disorder have
great public health relevance. To reduce the risk of relapse/recurrence after acute phase …
great public health relevance. To reduce the risk of relapse/recurrence after acute phase …
Mexhaz: An R package for fitting flexible hazard-based regression models for overall and excess mortality with a random effect
H Charvat, A Belot - Journal of Statistical Software, 2021 - jstatsoft.org
We present mexhaz, an R package for fitting flexible hazard-based regression models with
the possibility to add time-dependent effects of covariates and to account for a twolevel …
the possibility to add time-dependent effects of covariates and to account for a twolevel …
The conundrum of heterogeneities in life history studies
What causes interindividual variation in fitness? Evidence of heritability of latent individual
fitness traits has resparked a debate about the causes of variation in life histories in …
fitness traits has resparked a debate about the causes of variation in life histories in …
Understanding variation in disease risk: the elusive concept of frailty
OO Aalen, M Valberg, T Grotmol… - International journal of …, 2015 - academic.oup.com
The concept of frailty plays a major role in the statistical field of survival analysis. Frailty
variation refers to differences in risk between individuals which go beyond known or …
variation refers to differences in risk between individuals which go beyond known or …
Human disturbance affects personality development in a wild carnivore
JR Greenberg, KE Holekamp - Animal Behaviour, 2017 - Elsevier
Human activity can dramatically affect personality traits in birds and small mammals.
However, we know very little about how anthropogenic disturbance shapes personality in …
However, we know very little about how anthropogenic disturbance shapes personality in …
Regression models and multivariate life tables
RL Prentice, S Zhao - Journal of the American Statistical …, 2021 - Taylor & Francis
Semiparametric, multiplicative-form regression models are specified for marginal single and
double failure hazard rates for the regression analysis of multivariate failure time data. Cox …
double failure hazard rates for the regression analysis of multivariate failure time data. Cox …
Statistical models of key components of wildfire risk
DDZ Xi, SW Taylor, DG Woolford… - Annual Review of …, 2019 - annualreviews.org
Fire danger systems have evolved from qualitative indices, to process-driven deterministic
models of fire behavior and growth, to data-driven stochastic models of fire occurrence and …
models of fire behavior and growth, to data-driven stochastic models of fire occurrence and …