Danilo Alvares
Scholar

Danilo Alvares

Google Scholar ID: xpauNC8AAAAJ
Visiting Researcher, MRC Biostatistics Unit, University of Cambridge
Bayesian StatisticsSurvival AnalysisLongitudinal AnalysisJoint ModelsBiostatistics
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Citations & Impact
All-time
Citations
959
 
H-index
15
 
i10-index
21
 
Publications
20
 
Co-authors
0
 
Contact
Emaildanilo.alvares@mrc-bsu.cam.ac.uk
Publications
7 items
Bayesian joint modeling of longitudinal patient-reported outcomes and survival: an application to chronic obstructive pulmonary disease
2026
Cited
0
A parametric framework for assessing and estimating sufficient follow-up time in cure models
2026
Cited
0
The C-index illusion: discrimination without calibration in published survival models
2026
Cited
0
Inference from multivariate differential recruitment in respondent-driven sampling data
2026
Cited
0
A new approach for Bayesian joint modeling of longitudinal and cure-survival outcomes using the defective Gompertz distribution
2025
Cited
0
A Bayesian survival model induced by hurdle zero-modified power series discrete frailty with dispersion: an application in lung cancer
2025
Cited
0
A Bayesian joint model of multiple longitudinal and categorical outcomes with application to multiple myeloma using permutation-based variable importance
2024
Cited
0
Resume
Research Experience
  • - Visiting Researcher, MRC Biostatistics Unit, University of Cambridge (2024-)
  • - Research Associate, MRC Biostatistics Unit, University of Cambridge (2022-2024)
  • - Assistant Professor, Department of Statistics, Pontifical Catholic University of Chile (2018-2022)
  • - Postdoctoral Research Fellow, Department of Biostatistics, Harvard University (2017-2018)
Background
  • Research topics include joint models for longitudinal and time-to-event outcomes, survival analysis, repeated measures data, and Bayesian computational methods. Additionally, I have also been working on statistical modelling/methods in public health and educational studies.