标题
Bayesian joint ordinal and survival modeling for breast cancer risk assessment
作者
关键词
-
出版物
STATISTICS IN MEDICINE
Volume 35, Issue 28, Pages 5267-5282
出版商
Wiley
发表日期
2016-08-15
DOI
10.1002/sim.7065
参考文献
相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。- Bayesian joint modeling for assessing the progression of chronic kidney disease in children
- (2016) Carmen Armero et al. STATISTICAL METHODS IN MEDICAL RESEARCH
- A Bayesian model for joint analysis of multivariate repeated measures and time to event data in crossover trials
- (2016) Fang Liu et al. STATISTICAL METHODS IN MEDICAL RESEARCH
- Joint modeling of multivariate longitudinal measurements and survival data with applications to Parkinson’s disease
- (2016) Bo He et al. STATISTICAL METHODS IN MEDICAL RESEARCH
- One versus Two Breast Density Measures to Predict 5- and 10-Year Breast Cancer Risk
- (2015) K. Kerlikowske et al. CANCER EPIDEMIOLOGY BIOMARKERS & PREVENTION
- Frequentist and Bayesian approaches for a joint model for prostate cancer risk and longitudinal prostate-specific antigen data
- (2015) Carles Serrat et al. JOURNAL OF APPLIED STATISTICS
- Joint modeling of repeated multivariate cognitive measures and competing risks of dementia and death: a latent process and latent class approach
- (2015) Cécile Proust-Lima et al. STATISTICS IN MEDICINE
- JM: AnRPackage for the Joint Modelling of Longitudinal and Time-to-Event Data
- (2015) Dimitris Rizopoulos Journal of Statistical Software
- Mammographic density—a review on the current understanding of its association with breast cancer
- (2014) C. W. Huo et al. BREAST CANCER RESEARCH AND TREATMENT
- Breast cancer screening in an era of personalized regimens: A conceptual model and National Cancer Institute initiative for risk-based and preference-based approaches at a population level
- (2014) Tracy Onega et al. CANCER
- Changes in mammographic density over time in breast cancer cases and women at high risk for breast cancer
- (2014) Meghan E. Work et al. INTERNATIONAL JOURNAL OF CANCER
- Cost-Effectiveness and Harm-Benefit Analyses of Risk-Based Screening Strategies for Breast Cancer
- (2014) Ester Vilaprinyo et al. PLoS One
- Joint modeling of two longitudinal outcomes and competing risk data
- (2014) Eleni-Rosalina Andrinopoulou et al. STATISTICS IN MEDICINE
- Age-related Changes in Mammographic Density and Breast Cancer Risk
- (2013) M. Lokate et al. AMERICAN JOURNAL OF EPIDEMIOLOGY
- Using Clinical Factors and Mammographic Breast Density to Estimate Breast Cancer Risk: Development and Validation of a New Predictive Model
- (2013) Jeffrey A. Tice et al. ANNALS OF INTERNAL MEDICINE
- Real-Time Individual Predictions of Prostate Cancer Recurrence Using Joint Models
- (2013) Jeremy M. G. Taylor et al. BIOMETRICS
- A Bayesian approach to joint analysis of multivariate longitudinal data and parametric accelerated failure time
- (2013) Sheng Luo STATISTICS IN MEDICINE
- Dynamic Predictions and Prospective Accuracy in Joint Models for Longitudinal and Time-to-Event Data
- (2011) Dimitris Rizopoulos BIOMETRICS
- Risk prediction models of breast cancer: a systematic review of model performances
- (2011) Thunyarat Anothaisintawee et al. BREAST CANCER RESEARCH AND TREATMENT
- Personalized estimates of breast cancer risk in clinical practice and public health
- (2011) Mitchell H. Gail STATISTICS IN MEDICINE
- Inferences for Joint Modelling of Repeated Ordinal Scores and Time to Event Data
- (2010) Arindom Chakraborty et al. Computational and Mathematical Methods in Medicine
- Particle Markov chain Monte Carlo methods
- (2010) Christophe Andrieu et al. JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-STATISTICAL METHODOLOGY
- Multiple-Imputation-Based Residuals and Diagnostic Plots for Joint Models of Longitudinal and Survival Outcomes
- (2009) Dimitris Rizopoulos et al. BIOMETRICS
- Interval breast cancers in a community screening programme: frequency, radiological classification and prognostic factors
- (2008) Marisa Baré et al. EUROPEAN JOURNAL OF CANCER PREVENTION
Find Funding. Review Successful Grants.
Explore over 25,000 new funding opportunities and over 6,000,000 successful grants.
ExploreBecome a Peeref-certified reviewer
The Peeref Institute provides free reviewer training that teaches the core competencies of the academic peer review process.
Get Started