| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Mathematics | 117 | 81 | 182 | 16 |
The concepts of Statistics, Econometrics, Covariate, Sample size determination and Clinical trial are tackled in Statistics in Medicine. The study on Statistics presented is investigated in conjunction with research in Random effects model. Logistic regression, Missing data, Outcome (probability), Bayesian probability and Estimation are some topics wherein Econometrics research discussed in the journal have an impact.
In the journal, researchers investigate the Bayesian probability study as part of research in the field of Artificial intelligence. Statistics in Medicine facilitates discussions on Sample size determination that incorporate concepts from other fields like Statistical hypothesis testing and Type I and type II errors. Topics in Clinical trial were tackled in line with various other fields like Randomized controlled trial and Intensive care medicine.
The in-depth study on Regression analysis also explores topics in the intersecting field of Regression. Statistics in Medicine connects research in Proportional hazards model with the related topic of Survival analysis.
The published papers cover a variety of subjects, including Statistics, Econometrics, Clinical trial, Covariate and Sample size determination. The featured Econometrics studies in the journal publications mainly concentrate on Meta-analysis but also cover areas of interest in Meta-Analysis as Topic. Statistical hypothesis testing and Type I and type II errors are some topics wherein Sample size determination research discussed in the journal publications has an impact.
Statistics in Medicine focuses on Statistics, Covariate, Artificial intelligence, Estimator and Bayesian probability. The journal connects the study in Statistics with the closely related area of Variance (accounting). It focuses on Covariate but the discussions also offer insight into other areas such as Inference, Proportional hazards model, Feature selection and Propensity score matching.
Artificial intelligence research presented in the journal encompasses a variety of subjects, including Machine learning and Pattern recognition. Bayesian probability research discussed connects with the study of Random effects model. Aside from discussions in Sample size determination, it also deals with the subject of Clinical trial which intersects with Randomized controlled trial disciplines.
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 Medicine (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 Statistics in Medicine (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, 3.94% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 26.51% were posted by at least one author from the top 10 institutions publishing in the journal. Another 11.08% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 20.24% of all publications and 42.17% 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.
Jessica G. Young;Mats J. Stensrud;Mats J. Stensrud;Eric J. Tchetgen Tchetgen;Miguel A. Hernán;Miguel A. Hernán
(2020)Ruth H Keogh;Pamela A Shaw;Paul Gustafson;Raymond J Carroll;Raymond J Carroll
(2020)Suzie Cro;Tim P. Morris;Michael G. Kenward;James R. Carpenter
(2020)Pamela A Shaw;Paul Gustafson;Raymond J Carroll;Raymond J Carroll;Veronika Deffner
(2020)William H. Woodall;George Rakovich;Stefan H. Steiner
(2021)Helen A. Blake;Clémence Leyrat;Kathryn E. Mansfield;Shaun Seaman
(2020)Evan T. R. Rosenman;Art B. Owen;Mike Baiocchi;Hailey R. Banack
(2021)Rhonda D. Szczesniak;Weiji Su;Cole Brokamp;Ruth H. Keogh
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