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Bayesian inference for stochastic differential equation mixed effects models of a tumour xenography study
Umberto Picchini
*
,
Julie Lyng Forman
*
Corresponding author for this work
Section of Biostatistics
5
Citations (Scopus)
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Dive into the research topics of 'Bayesian inference for stochastic differential equation mixed effects models of a tumour xenography study'. Together they form a unique fingerprint.
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Mathematics
Mixed Effects Model
87%
Tumor
73%
Bayesian inference
72%
Stochastic Differential Equations
60%
Mouse
37%
Likelihood
25%
Regrowth
18%
Approximate Bayesian Inference
15%
Exact Inference
13%
Model
12%
Growth Curve
12%
Monte Carlo Sampling
12%
Tumor Growth
12%
Prior Information
11%
Small Sample Size
10%
Markov Chain Monte Carlo
10%
Ordinary differential equation
7%
Cell
7%
Simulation Study
6%
Simulation
6%
Business & Economics
Bayesian Inference
100%
Tumor
97%
Stochastic Differential Equations
91%
Mouse
18%
Exact Inference
10%
Sample Size
8%
Differential Equations
8%
Growth Curve
8%
Prior Information
7%
Markov Chain Monte Carlo
7%
Sampling
6%
Small Sample
6%
Simulation Study
5%
Inference
5%
Simulation
4%