Taylor & Francis

Journal of Biopharmaceutical Statistics Template

Write in a clean editor, then format for Journal of Biopharmaceutical Statistics in one click — DocuGuru applies the official Taylor & Francis template with author–year references and exports a submission-ready PDF plus the editable LaTeX source. Free to start.

About the Journal of Biopharmaceutical Statistics format

Journal of Biopharmaceutical Statistics is a peer-reviewed journal published by Taylor & Francis, covering Statistical Methods in Clinical Trials, Optimal Experimental Design Methods, Statistical Methods and Bayesian Inference.

PublisherTaylor & Francis
Reference styleAuthor–year (Chicago, T&F)
Author–year — (Smith, 2023) in the text
Smith, Ada, Ben Jones, and Cara Lee. 2023. "A Representative Article Title." Journal of Biopharmaceutical Statistics 12 (3): 45–58.

Formats any DOI in Journal of Biopharmaceutical Statistics style. No sign-up.

Publishes research inStatistical Methods in Clinical Trials Optimal Experimental Design Methods Statistical Methods and Bayesian Inference Statistical Methods and Inference Health Systems, Economic Evaluations, Quality of Life
ISSN1054-3406
Citation impact (2-yr)0.86
h-index72
i10-index855
Total citations34,257
Top institutions publishing hereUnited States Food and Drug Administration
Journal websitewww.tandfonline.com
You getA submission-ready PDF and the editable LaTeX source — ready to submit.

Papers published in Journal of Biopharmaceutical Statistics per year

185
2014
78
2015
79
2016
105
2017
54
2018
94
2019
71
2020
57
2021
84
2022
98
2023
102
2024
93
2025

Citation impact of Journal of Biopharmaceutical Statistics by publication year

2.4K
2014
784
2015
540
2016
1K
2017
421
2018
806
2019
730
2020
419
2021
425
2022
357
2023
155
2024
55
2025

Citations each year’s papers have accumulated so far — the most recent years are still building up.

Most-cited papers in Journal of Biopharmaceutical Statistics

Agreement Between Methods of Measurement with Multiple Observations Per Individual

Martin Bland, Douglas G. Altman · 2 Jul 2007

Limits of agreement provide a straightforward and intuitive approach to agreement between different methods for measuring the same quantity. When pairs of observations using the two methods are independent, i.e., on different subjects, the calculations are very simple and straightforward. Some authors collect repeated data, either as repeated pairs of measurements on the same subject,…

1,870 citations Cite SaveGo to paper →
Weighted Gene Coexpression Network Analysis: State of the Art

Wei Zhao, Peter Langfelder, Tova F Fuller et al. · 19 Mar 2010

Weighted gene coexpression network analysis (WGCNA) has been applied to many important studies since its introduction in 2005. WGCNA can be used as a data exploratory tool or as a gene screening method; WGCNA can also be used as a tool to generate testable hypothesis for validation in independent data sets. In this article, we…

ACCOUNTING FOR DROPOUT BIAS USING MIXED-EFFECTS MODELS

Craig Mallinckrodt, W. Scott Clark, S.R. David · 1 Jan 2001

Treatment effects are often evaluated by comparing change over time in outcome measures. However, valid analyses of longitudinal data can be problematic when subjects discontinue (dropout) prior to completing the study. This study assessed the merits of likelihood-based repeated measures analyses (MMRM) compared with fixed-effects analysis of variance where missing values were imputed using the…

An Overview on Assessing Agreement with Continuous Measurements

Huiman X. Barnhart, Michael Haber, Lawrence I‐Kuei Lin · 2 Jul 2007

Reliable and accurate measurements serve as the basis for evaluation in many scientific disciplines. Issues related to reliable and accurate measurement have evolved over many decades, dating back to the nineteenth century and the pioneering work of Galton (1886), Pearson (1896, 1899, 1901), and Fisher (1925). Requiring a new measurement to be identical to the…

Adaptive Designs in Clinical Drug Development—An Executive Summary of the PhRMA Working Group

Paul Gallo, Christy Chuang‐Stein, Vladimir Dragalin et al. · 18 Apr 2006

A PhRMA Working Group on adaptive clinical trial designs has been formed to investigate and facilitate opportunities for wider acceptance and usage of adaptive designs and related methodologies. A White Paper summarizing the findings of the group is in preparation; this article is an Executive Summary for that full White Paper, and summarizes the findings…

Journal of Biopharmaceutical Statistics template — frequently asked questions

How do I write a paper in the Journal of Biopharmaceutical Statistics format?
In DocuGuru you write your manuscript in a normal editor — no LaTeX setup required — and select the Journal of Biopharmaceutical Statistics template. When you export, DocuGuru compiles the paper into the official Taylor & Francis format and hands you a submission-ready PDF along with the editable LaTeX source.
What reference style does Journal of Biopharmaceutical Statistics use?
Journal of Biopharmaceutical Statistics uses Author–year (Chicago, T&F) references, shown as author–year markers such as (Smith, 2023) in the text. DocuGuru formats every in-text citation and the reference list in this exact style automatically. A reference appears like this: Smith, Ada, Ben Jones, and Cara Lee. 2023. "A Representative Article Title." Journal of Biopharmaceutical Statistics 12 (3): 45–58.
Do I need to know LaTeX to submit to Journal of Biopharmaceutical Statistics?
No. DocuGuru generates the interact LaTeX class and compiles the PDF for you in the background, so you get a Taylor & Francis-ready Journal of Biopharmaceutical Statistics document without writing any LaTeX. If you do want it, the LaTeX source is included in the export.
Can I import an existing draft into the Journal of Biopharmaceutical Statistics template?
Yes. Paste or upload your current manuscript — Word, LaTeX, Markdown, or plain text — and DocuGuru reflows it into the Journal of Biopharmaceutical Statistics format with correct headings, figures, tables, and author–year citations.
Who publishes Journal of Biopharmaceutical Statistics?
Journal of Biopharmaceutical Statistics is a multidisciplinary journal published by Taylor & Francis. DocuGuru's Journal of Biopharmaceutical Statistics template matches Taylor & Francis's official submission format.
Can I export a submission-ready Journal of Biopharmaceutical Statistics PDF?
Yes — DocuGuru produces a PDF built with the official Journal of Biopharmaceutical Statistics template (the interact class) that is ready to submit to Taylor & Francis, together with the matching LaTeX source files.
How much does the Journal of Biopharmaceutical Statistics template cost?
You can start writing in the Journal of Biopharmaceutical Statistics template for free. Exporting the final submission-ready Journal of Biopharmaceutical Statistics PDF and LaTeX source is part of DocuGuru's paid plans — see the app for current pricing.
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