Multiple imputation (MI) for imputing missing data are increasingly used in longitudinal studies where data are missing due to non-response…
Some scientists are tea drinkers, others are coffee drinkers. Some scientists round out an evening with a pint of Guinness,…
While “big data” is one of the biggest buzzwords, we occasionally come cross data with very few data points. This…
Recent studies in cancer and other complex diseases continue to highlight the extensive genetic diversity between and within cohorts. This…
Random-effect models are a popular models for the analysis of nested structure of the data. For statistical inference for Random-effect…
The aims of the present study were to use population-level Australian data to estimate prevalence and speed of transitions across…
I want to fit a mixed model to a population distribution, but I have data from a complex (multistage) sample.…
Penalized logistic regression is used to identify genetic markers for many high-dimensional datasets such as in gene expression, GWAS, DNA…
When an established research group has been functioning for many years without a statistician as an integral part of the…