statistics for epidemiology /
| |
statistics for epidemiology /
|
graphics for statistics and data ana...
| |
graphics for statistics and data analysis with r /
|
fundamentals of causal inference :
| |
fundamentals of causal inference :
|
multivariate survival analysis and c...
| |
multivariate survival analysis and competing risks /
|
survival analysis using s :
| |
survival analysis using s :
|
exercises and solutions in statistic...
| |
exercises and solutions in statistical theory /
|
introduction to generalized linear m...
| |
introduction to generalized linear models /
|
|
|
time series :
|
bayesian thinking in biostatistics /
| |
bayesian thinking in biostatistics /
|
extending the linear model with r :
| |
extending the linear model with r :
|
|
|
bugs book :
|
randomization, bootstrap and monte c...
| |
randomization, bootstrap and monte carlo methods in biology /
|
bayesian modeling and computation in...
| |
bayesian modeling and computation in python
|
|
|
statistical theory :
|
|
|
bayesian networks :
|
principles of uncertainty /
| |
principles of uncertainty /
|
extending the linear model with r :
| |
extending the linear model with r :
|
logistic regression models /
| |
logistic regression models /
|
nonparametric methods in statistics ...
| |
nonparametric methods in statistics with sas applications /
|
|
|
statistical inference :
|