Analysis of cure rate survival data under proportional odds model
Y Gu, D Sinha, S Banerjee - Lifetime data analysis, 2011 - Springer
Due to significant progress in cancer treatments and management in survival studies
involving time to relapse (or death), we often need survival models with cured fraction to …
involving time to relapse (or death), we often need survival models with cured fraction to …
[图书][B] Proportional hazards regression
J O'Quigley - 2008 - Springer
Proportional hazards models and their extensions (models with timedependent covariates,
models with time dependent regression coefficients, models with random coefficients and …
models with time dependent regression coefficients, models with random coefficients and …
Semiparametric proportional odds models for spatially correlated survival data
S Banerjee, DK Dey - Lifetime data analysis, 2005 - Springer
The last decade has witnessed major developments in Geographical Information Systems
(GIS) technology resulting in the need for statisticians to develop models that account for …
(GIS) technology resulting in the need for statisticians to develop models that account for …
Childhood mortality in sub-Saharan Africa: cross-sectional insight into small-scale geographical inequalities from Census data
Objectives To estimate and quantify childhood mortality, its spatial correlates and the impact
of potential correlates using recent census data from three sub-Saharan African countries …
of potential correlates using recent census data from three sub-Saharan African countries …
Computational techniques for spatial logistic regression with large data sets
CJ Paciorek - Computational statistics & data analysis, 2007 - Elsevier
In epidemiological research, outcomes are frequently non-normal, sample sizes may be
large, and effect sizes are often small. To relate health outcomes to geographic risk factors …
large, and effect sizes are often small. To relate health outcomes to geographic risk factors …
[图书][B] Advanced survival models
C Legrand - 2021 - taylorfrancis.com
Survival data analysis is a very broad field of statistics, encompassing a large variety of
methods used in a wide range of applications, and in particular in medical research. During …
methods used in a wide range of applications, and in particular in medical research. During …
Bayesian spatial survival models
Survival analysis has received a great deal of attention as a subfield of Bayesian
nonparametrics over the last 50 years. In particular, the fitting of survival models that allow …
nonparametrics over the last 50 years. In particular, the fitting of survival models that allow …
Bayesian parametric accelerated failure time spatial model and its application to prostate cancer
Prostate cancer (PrCA) is the most common cancer diagnosed in American men and the
second leading cause of death from malignancies. There are large geographical variation …
second leading cause of death from malignancies. There are large geographical variation …
Association of ambient air pollution with cardiovascular disease risks in people with type 2 diabetes: a Bayesian spatial survival analysis
Background Evidence is limited on excess risks of cardiovascular diseases (CVDs)
associated with ambient air pollution in diabetic populations. Survival analyses without …
associated with ambient air pollution in diabetic populations. Survival analyses without …
Mapping urban malaria and diarrhea mortality in Accra, Ghana: evidence of vulnerabilities and implications for urban health policy
Historic increase in urban population numbers in the face of shrinking urban economies and
declining social services has meant that a large proportion of the urban population lives in …
declining social services has meant that a large proportion of the urban population lives in …