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Biostatistics

Among the important scientific developments of the 20th century is the explosive growth in statistical reasoning and methods for application to studies of human health. Examples include developments in likelihood methods for inference, epidemiologic statistics, clinical trials, survival analysis, and statistical genetics. Substantive problems in public health and biomedical research have fueled the development of statistical methods, which in turn have improved our ability to draw valid inferences from data. The objective of Biostatistics is to advance statistical science and its application to problems of human health and disease, with the ultimate goal of advancing the public's health.

Impact Factor2.109
Peer ReviewedYes
Publishing FrequencyQuarterly
Articles Published/Year57
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NIH Public Access PolicyLink
PubMed Central SubmissionMethod A

What we have gathered, from the publisher's website, Journal Citation Reports, and Ulrichsweb Global Serials Directory, is for your information only. Please check with the publisher and original sources for accuracy.


Select PSC Publications in Biostatistics

Elliott, Michael R., A.C. Conlon, Y. Li, N. Kaciroti, and J.G. Taylor. 2015. "Surrogacy marker paradox measures in meta-analytic settings." Biostatistics, 16(2): 400-12. PMCID: PMC4366594.

Conlon, Anna S., Jeremy M. G. Taylor, and Michael R. Elliott. 2014. "Surrogacy assessment using principal stratification when surrogate and outcome measures are multivariate normal." Biostatistics, 15(2): 266-283. PMCID: PMC4023321.

Kaciroti, N., Trivellore Raghunathan, J. Taylor, and S. Julius. 2012. "A Bayesian model for time-to-event data with informative censoring." Biostatistics, 13(2): 341-54. PMCID: PMC3297827.

Elliott, Michael R., Trivellore Raghunathan, and Y. Li. 2010. "Bayesian inference for causal mediation effects using principal stratification with dichotomous mediators and outcomes." Biostatistics, 11(2): 353-372. PMCID: PMC2830580.