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Statistics in Biopharmaceutical Research
H-index 11

Statistics in Biopharmaceutical Research

Published by: Taylor & Francis

https://www.tandfonline.com/journals/usbr20

Ranking & Metrics

Discipline name Position Best Scientists Publications D-Index
Medicine 2851 24 29 7

Additional Metrics

Number of Best Scientists*: 56
Documents by Best Scientists*: 82
Top 100 Ranked Scientists*: 3
SCIMAGO H-index: 27
SCIMAGO SJR: 0.749
Impact Factor: 1.3

Overview

Top Research Topics at Statistics in Biopharmaceutical Research?

Statistics, Clinical trial, Econometrics, Sample size determination and Bayesian probability are among the topics commonly tackled in the journal. Covariate, Type I and type II errors, Missing data, Estimator and Statistical hypothesis testing are Statistics topics of special interest in the journal. Imputation (statistics) is the primary subject of Missing data works presented in Statistics in Biopharmaceutical Research.

The journal explores issues in Clinical trial which can be linked to other research areas like Medical physics, Data mining and Intensive care medicine. The main emphasis of it is the research on Econometrics, emphasizing the topic of Nonparametric statistics. The journal focused on Bayesian probability research conducted under the discipline of Artificial intelligence.

The journal blends together research topics in Pandemic and 2019-20 coronavirus outbreak.

  • Statistics (38.73%)
  • Clinical trial (25.77%)
  • Econometrics (16.20%)

What are the most cited papers published in the journal?

  • Multiple Testing in Group Sequential Trials Using Graphical Approaches (60 citations)
  • A Simulation Study to Compare New Adaptive Dose–Ranging Designs (58 citations)
  • Using Outcomes to Analyze Patients Rather than Patients to Analyze Outcomes: A Step toward Pragmatism in Benefit:risk Evaluation (52 citations)

Research areas of the most cited articles at Statistics in Biopharmaceutical Research:

Clinical trial, Statistics, Econometrics, Adaptive design and Sample size determination are the main subjects of interest in the most cited papers. The journal articles about Clinical endpoint are all disciplines of Clinical trial that connect with topics in Treatment effect. The most cited articles facilitate the exploration of Statistics in relation to the field of Phase (waves).

What topics the last edition of the journal is best known for?

  • Statistics
  • Internal medicine
  • Normal distribution

The previous edition focused in particular on these issues:

The journal is mainly concerned with subjects like Clinical trial, Statistics, Replication (statistics), Strength of evidence and Intensive care medicine. Some problems in Clinical trial that were presented in Statistics in Biopharmaceutical Research overlapped with concepts under Log-rank test, Medical physics and Drug development. The tackled Drug development research is interrelated with Stage (cooking) which concerns subjects like Oncology.

The subject of Randomized controlled trial, which is connected to the field of Physical medicine and rehabilitation, serves as the foundation of the Statistics research featured in it. Replication crisis, Social psychology and p-value are some topics wherein Replication (statistics) research discussed in Statistics in Biopharmaceutical Research have an impact. The concepts on Sample size determination presented in Statistics in Biopharmaceutical Research can also apply to other research fields, including Bioequivalence and Econometrics.

The most cited articles from the last journal are:

  • The Role of p-Values in Judging the Strength of Evidence and Realistic Replication Expectations (18 citations)
  • Biostatistical considerations when using RWD and RWE in Clinical Studies for Regulatory Purposes: A Landscape Assessment (5 citations)
  • The Current Landscape in Biostatistics of Real-World Data and Evidence: Clinical Study Design and Analysis (5 citations)

Papers citation over time

A key indicator for each journal is its effectiveness in reaching other researchers with the papers published at that venue.

The chart below presents the interquartile range (first quartile 25%, median 50% and third quartile 75%) of the number of citations of articles over time.

The top authors publishing in Statistics in Biopharmaceutical Research (based on the number of publications) are:

  • Gary G. Koch (17 papers) absent at the last edition,
  • Frank Bretz (14 papers) published 2 papers at the last edition, 2 less than at the previous edition,
  • Christy Chuang-Stein (14 papers) published 1 paper at the last edition,
  • Scott R. Evans (11 papers) published 3 papers at the last edition, 2 more than at the previous edition,
  • Cong Chen (11 papers) published 2 papers at the last edition the same number as at the previous edition.

The overall trend for top authors publishing in this journal is outlined below. The chart shows the number of publications at each edition of the journal for top authors.

Only papers with recognized affiliations are considered

The top affiliations publishing in Statistics in Biopharmaceutical Research (based on the number of publications) are:

  • Merck & Co. (56 papers) published 11 papers at the last edition, 4 less than at the previous edition,
  • Novartis (46 papers) published 11 papers at the last edition, 1 less than at the previous edition,
  • University of North Carolina at Chapel Hill (26 papers) published 3 papers at the last edition, 1 less than at the previous edition,
  • Janssen Pharmaceutica (25 papers) published 9 papers at the last edition, 4 more than at the previous edition,
  • Eli Lilly and Company (20 papers) published 5 papers at the last edition, 4 less than at the previous edition.

The overall trend for top affiliations publishing in this journal is outlined below. The chart shows the number of publications at each edition of the journal for top affiliations.

Publication chance based on affiliation

The publication chance index shows the ratio of articles published by the best research institutions in the journal edition to all articles published within that journal. The best research institutions were selected based on the largest number of articles published during all editions of the journal.

The chart below presents the percentage ratio of articles from top institutions (based on their ranking of total papers).Top affiliations were grouped by their rank into the following tiers: top 1-10, top 11-20, top 21-50, and top 51+. Only articles with a recognized affiliation are considered.

During the most recent 2021 edition, 9.52% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 46.32% were posted by at least one author from the top 10 institutions publishing in the journal. Another 7.37% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 18.95% of all publications and 27.37% were from other institutions.

Returning Authors Index

A very common phenomenon observed among researchers publishing scientific articles is the intentional selection of journals they have already attended in the past. In particular, it is worth analyzing the case when the authors participate in the same journal from year to year.

The Returning Authors Index presented below illustrates the ratio of authors who participated in both a given as well as the previous edition of the journal in relation to all participants in a given year.

Returning Institution Index

The graph below shows the Returning Institution Index, illustrating the ratio of institutions that participated in both a given and the previous edition of the conference in relation to all affiliations present in a given year.

The experience to innovation index

Our experience to innovation index was created to show a cross-section of the experience level of authors publishing in a journal. The index includes the authors publishing at the last edition of a journal, grouped by total number of publications throughout their academic career (P) and the total number of citations of these publications ever received (C).

The group intervals were selected empirically to best show the diversity of the authors' experiences, their labels were selected as a convenience, not as judgment. The authors were divided into the following groups:

  • Novice - P < 5 or C < 25 (the number of publications less than 5 or the number of citations less than 25),
  • Competent - P < 10 or C < 100 (the number of publications less than 10 or the number of citations less than 100),
  • Experienced - P < 25 or C < 625 (the number of publications less than 25 or the number of citations less than 625),
  • Master - P < 50 or C < 2500 (the number of publications less than 50 or the number of citations less than 2500),
  • Star - P ≥ 50 and C ≥ 2500 (both the number of publications greater than 50 and the number of citations greater than 2500).

The chart below illustrates experience levels of first authors in cases of publications with multiple authors.

How to submit your studies for Publication in Statistics in Biopharmaceutical Research

If you are a researcher interested in publishing your studies in Statistics in Biopharmaceutical Research journal, there are certain steps and guidelines to follow. Firstly, the manuscript should be prepared according to the guidelines provided by the journal. The research article should be original work that contributes significantly to the field of Biopharmaceutical Research. The paper must be structured with an abstract, introduction, methods, results, discussion, conclusions, and references. Tables, figures, and other data representation tools can be utilized to highlight your findings. Moreover, the research conducted should abide by ethical guidelines, and where necessary, ethics approval should be obtained from the relevant body. The subjects' consent is also often required in health research. Lastly, the submission process is conducted online. For that, you must register on the journal’s submission system and upload your manuscript by following the instructions provided. Should you find yourself facing any difficulties, you can approach the team at [@BoardofNursingRequirements](https://research.com/careers/maine-nursing-license-requirements), who are ready to assist you with any inquiries related to the submission process. Whether you're a novice or an experienced researcher, adhering to these standards will help you contribute value to the field of Biopharmaceutical Research.

Top Publications

  • Targeted learning: Towards a future informed by real-world evidence

    (2022)
    21 Citations
  • Type I Error Considerations in Master Protocols With Common Control in Oncology Trials: Report of an American Statistical Association Biopharmaceutical Section Open Forum Discussion

    (2021)
    14 Citations
  • Statistical Considerations for Sequential Analysis of the Restricted Mean Survival Time for Randomized Clinical Trials.

    Ying Lu;Lu Tian

    (2021)
    10 Citations
  • Coping with Information Loss and the Use of Auxiliary Sources of Data: A Report from the NISS Ingram Olkin Forum Series on Unplanned Clinical Trial Disruptions

    (2022)
    9 Citations
  • Bayesian Design of Superiority Trials: Methods and Applications

    (2022)
    8 Citations
  • Accuracy and Safety of Novel Designs for Phase I Drug-Combination Oncology Trials

    (2022)
    7 Citations
  • A Comparative Study of Bayesian Optimal Interval (BOIN) Design With Interval 3 + 3 (i3 + 3) Design for Phase I Oncology Dose-Finding Trials

    Yanhong Zhou;Ruobing Li;Fangrong Yan;J. Jack Lee

    (2021)
    7 Citations
  • Bayesian Optimal Phase II Design for Randomized Clinical Trials

    (2022)
    7 Citations
  • Selecting an Optimal Design for a Non-randomized Comparative Study: A Comment on “Some Considerations on Design and Analysis Plan on a Nonrandomized Comparative Study Utilizing Propensity Score Methodology for Medical Device Premarket Evaluation.”

    Guy Cafri;Paul Coplan;Shumin Zhang;Jesse A. Berlin

    (2021)
    6 Citations
  • Estimands in Real-World Evidence Studies

    (2023)
    6 Citations

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Best Scientists Contributing to This Journal