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 2025:
Steyn, N., Parag, K.V., Thompson, R.N. and Donnelly, C.A. (2025), A Primer on Inference and Prediction With Epidemic Renewal Models and Sequential Monte Carlo. Statistics in Medicine, 44: e70204. https://doi.org/10.1002/sim.70204 (Open Access)
Mi, J., Tendulkar, R.D., Sittenfeld, S.M.C., Patil, S. and Zabor, E.C. (2025), Combining Missing Data Imputation and Internal Validation in Clinical Risk Prediction Models. Statistics in Medicine, 44: e70203. https://doi.org/10.1002/sim.70203 (Open Access)
Kalia, S., Saarela, O., Chen, T., O’Neill, B., Meaney, C., Moineddin, R., Aliarzadeh, B., Sullivan, F. and Greiver, M. (2025), Continuous-Time Causal Inference With Marked Point Process Weights: An Example on Sodium-Glucose Co-Transporters 2 Inhibitor Medications and Urinary Tract Infection. Statistics in Medicine, 44: e70102. https://doi.org/10.1002/sim.70102 (Open Access)
Everlyn Kamau, Junjie Chen, Sumali Bajaj, Nicolás Torres, Richard Creswell, Jaime A. Pavlich-Mariscal, Christl Donnelly, Zulma Cucunubá, Ben Lambert, The Mathematics of Serocatalytic Models With Applications to Public Health Data, Statistics in Medicine 44, no. 15-17 (2025): e70188, https://doi.org/10.1002/sim.70188 (Open Access)
, , , , and , Futility Monitoring in Clinical Trials, Statistics in Medicine 44, no. 13-14 (2025): e70157, https://doi.org/10.1002/sim.70157
(Open Access)
Baayen, C., Blanche, P., Jennison, C. and Ozenne, B. (2025), Design and Analysis of Group Sequential Trials for Repeated Measurements When Pipeline Data Occurs: A Tutorial. Statistics in Medicine, 44: e70130. https://doi.org/10.1002/sim.70130
Parast, L. (2025), Surrogate Marker Evaluation: A Tutorial Using R. Statistics in Medicine, 44: e70048. https://doi.org/10.1002/sim.70048
Keele, L. and Grieve, R. (2025), So Many Choices: A Guide to Selecting Among Methods to Adjust for Observed Confounders. Statistics in Medicine, 44: e10336. https://doi.org/10.1002/sim.10336 (Open Access)
Kyheng, M., Babykina, G. and Duhamel, A. (2025), Joint Latent Class Models: A Tutorial on Practical Applications in Clinical Research. Statistics in Medicine, 44: e70047. https://doi.org/10.1002/sim.70047 (Open Access)
Semochkina, D. and Walsh, C.D. (2025), Incorporating Additional Evidence as Prior Information to Resolve Non-Identifiability in Bayesian Disease Model Calibration: A Tutorial. Statistics in Medicine, 44: e70039. https://doi.org/10.1002/sim.70039 (Open Access)
Talbot, D., Diop, A., Mésidor, M., Chiu, Y., Sirois, C., Spieker, A.J., Pariente, A., Noize, P., Simard, M., Luque Fernandez, M.A., Schomaker, M., Fujita, K., Gnjidic, D. and Schnitzer, M.E. (2025), Guidelines and Best Practices for the Use of Targeted Maximum Likelihood and Machine Learning When Estimating Causal Effects of Exposures on Time-To-Event Outcomes. Statistics in Medicine, 44: e70034. https://doi.org/10.1002/sim.70034 (Open Access)
Wijesuriya, R., Moreno-Betancur, M., Carlin, J.B., White, I.R., Quartagno, M. and Lee, K.J. (2025), Multiple Imputation for Longitudinal Data: A Tutorial. Statistics in Medicine, 44: e10274. https://doi.org/10.1002/sim.10274 (Open Access)
Sun, A. and Zhou, X.-H. (2025), Estimation of Diagnostic Test Accuracy Without Gold Standards. Statistics in Medicine, 44: e10315. https://doi.org/10.1002/sim.10315
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