Statistics in Medicine publishes Tutorials in Biostatistics. Read the collection here.
The primary objective of Tutorials in Biostatistics is to present introductory tutorials on current biostatistical methods. Each tutorial presents the topic, defines vocabulary, reviews its uses, illustrates the uses with numerical examples relevant to biostatistical applications, includes demonstrations and references to available computer software for performing the method, and supplies references to articles and books for further reading. The tutorial should act as an introduction to those not already familiar with the method and as a review and update to others. The mathematical level of each depends upon the topic. In all cases, however, the tutorial will strive for the broadest possible audience of researchers and clinicians who comprise the readership of Statistics in Medicine.
Read the following published in 2024:
. Confidence distributions for treatment effects in clinical trials: Posteriors without priors. Statistics in Medicine. 2024; 43(6): 1271–1289. doi: 10.1002/sim.10000 (Open Access)
, , , et al. Novel non-linear models for clinical trial analysis with longitudinal data: A tutorial using SAS for both frequentist and Bayesian methods. Statistics in Medicine. 2024; 1–18. doi: 10.1002/sim.10089
, , , et al. On variance estimation of the inverse probability-of-treatment weighting estimator: A tutorial for different types of propensity score weights. Statistics in Medicine. 2024; 1–23. doi: 10.1002/sim.10078 (Open Access)
, , . Parameter estimation and forecasting with quantified uncertainty for ordinary differential equation models using QuantDiffForecast: A MATLAB toolbox and tutorial. Statistics in Medicine. 2024; 43(9): 1826–1848. doi: 10.1002/sim.10036 (Open Access)
, , , . Statistical plasmode simulations–Potentials, challenges and recommendations. Statistics in Medicine. 2024; 43(9): 1804–1825. doi: 10.1002/sim.10012 (Open Access)