Data analysis
28
Smoothing
Infectious disease modelling for babies
Preface
Modelling
Deterministic models
1
SIR
2
SEIR
3
Heterogeneities
4
tsiR
Stochastic models
5
Autoregressive model
6
SEIR
Calibration
7
Least squares estimation
8
Maximum likelihood estimation
9
MCMC
10
Particle filter
Reproduction number
11
Generation interval
12
Estimating
\(R_0\)
13
Estimating
\(R_t\)
14
\(R_t\)
in practice
Interventions
15
Flattening the curve
16
Vaccination
17
Vaccine performance
18
Model vaccination
19
Measles vaccine
Health economics
20
EtR Process
Serological data
21
Serocatalytic models
Statistical models
22
Generalized linear models
23
Generalized additive model
24
Survival analysis
25
Bayesian
5
Autoregressive model
27
Probability distributions
Data analysis
28
Smoothing
Reports
29
Risk assessment report
30
Outbreak response report
References
Appendices
A
Dictionary
B
Math
C
Statistics
D
Odin notes
E
Metaprogramming
F
Ensemble and distillation
G
Useful functions
H
Simulate line list
Table of contents
28.1
Moving average
28.2
LOWESS
Data analysis
28
Smoothing
28
Smoothing
28.1
Moving average
28.2
LOWESS
Data analysis
Reports