| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Medicine | 2486 | 42 | 47 | 9 |
Pharmaceutical Statistics mostly deals with topics like Statistics, Clinical trial, Sample size determination, Econometrics and Bayesian probability. The journal tackles issues in Statistics, particularly in the topics of Type I and type II errors, Confidence interval, Missing data, Statistical hypothesis testing and Estimator. The main emphasis of the journal is the subject of Missing data, focusing on Imputation (statistics).
Topics in Clinical trial were tackled in line with various other fields like MEDLINE, Research design, Drug development, Intensive care medicine and Operations research. Most of the works presented in it deals with Operations research but it intersects with the subject of Pharmaceutical industry. Pharmaceutical Statistics focuses on Sample size determination but the discussions also offer insight into other areas such as Clinical study design, Interim analysis and Bioequivalence.
The studies tackled, which mainly focus on Interim analysis, apply to Interim as well. Covariate is a major topic of Econometrics research presented in it. The featured Bayesian probability study falls within the wider topic of Artificial intelligence.
The most cited papers mainly deal with areas of study such as Statistics, Clinical trial, Econometrics, Sample size determination and Research design. The published articles feature Statistics research that overlaps with concepts in Variance (accounting). The published articles focus on Econometrics but the discussions also offer insight into other areas such as Event (probability theory), Estimator, Propensity score matching and Bayesian probability.
Pharmaceutical Statistics aims to foster the development of research in Statistics, Clinical trial, Sample size determination, Bayesian probability and Machine learning. Research on Statistics presented in it focuses, in particular, on Confidence interval, Type I and type II errors, Estimator, Covariate and Missing data. Type I and type II errors research in Pharmaceutical Statistics involves the investigation of Statistical hypothesis testing studies, all of which are linked to disciplines such as Resampling and Econometrics.
While work presented in the journal provided substantial information on Clinical trial, it also covered topics in Estimand, Randomized controlled trial, Oncology and Intensive care medicine. The concepts on Sample size determination presented in it can also apply to other research fields, including Event (probability theory), Interim analysis, Clinical study design and Interim. In Pharmaceutical Statistics, Phase (combat) and Effective sample size are investigated in conjunction with one another to address concerns in Bayesian probability research.
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 Pharmaceutical Statistics (based on the number of publications) are:
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 Pharmaceutical Statistics (based on the number of publications) are:
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.
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, 7.69% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 31.48% were posted by at least one author from the top 10 institutions publishing in the journal. Another 13.89% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 19.44% of all publications and 35.19% were from other institutions.
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.
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.
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:
The chart below illustrates experience levels of first authors in cases of publications with multiple authors.
With a strong grounding in Pharmaceutical Statistics, a myriad of professional opportunities open up. These range from roles in clinical research and biostatistics to data analysis and management within the pharmaceutical industry. Professionals with a background in pharmaceutical statistics might find lucrative career opportunities within medicine development companies, healthcare organizations, and research bodies in academia and the industry. They may play crucial roles in drug testing and trials, particularly in design research plans, data processing, and interpreting statistical results.
It is essential to note that some positions may require specific licensing or certification. Licensing requirements typically vary, depending on the professional role and state regulations. For instance, professionals in nursing roles may need to fulfill the tennessee nursing license requirements nursing license education requirements {anchor}. Those keen on transitioning to or focusing on such roles should explore these requirements in depth and pursue the necessary steps for certification.
Beyond that, there are consistently new developments in this field, and as such, professionals are encouraged to engage in lifelong learning and stay abreast of the most recent study areas and research topics within Pharmaceutical Statistics.
Claudio Luchini;Nicola Veronese;Alessia Nottegar;Jae Il Shin
(2021)Kentaro Takeda;Satoshi Morita;Masataka Taguri
(2020)Regina Stegherr;Claudia Schmoor;Michael Lübbert;Tim Friede
(2021)Julie Kjærulff Furberg;Julie Kjærulff Furberg;Søren Rasmussen;Per Kragh Andersen;Henrik Ravn
(2021)Michelle Casey;Evgeny Degtyarev;María José Lechuga;Paola Aimone
(2021)Yanhong Zhou;J. Jack Lee;Shunguang Wang;Stuart Bailey
(2021)Liyun Jiang;Liyun Jiang;Fangrong Yan;Peter F. Thall;Xuelin Huang
(2020)Pursuing a career in medicine often opens doors to a variety of related healthcare fields that can be explored through flexible online education options. For nurses looking to advance their practice, a 1 year post masters FNP online program offers a quick pathway to become a Family Nurse Practitioner, expanding scope and earning potential.
If you're interested in the nutritional aspects of health, an accelerated nutrition degree online can prepare you for roles in dietetics and wellness coaching. These programs balance speed and affordability, making a career pivot manageable.
Aspiring registered nurses can enhance their credentials through online RN to BSN programs that provide foundational knowledge and leadership skills, often designed for working professionals seeking career growth without career interruption.
For those aiming to transition into healthcare administration, an online masters healthcare management degree offers fast-tracked options to gain expertise in managing healthcare organizations, improving patient care systems, and policy implementation.
