| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Mathematics | 209 | 39 | 65 | 12 |
Statistical Methods in Medical Research primarily focuses on research topics in Statistics, Econometrics, Covariate, Bayesian probability and Artificial intelligence. Studies on Statistics discussed in Statistical Methods in Medical Research link to the field of Random effects model. It holds forums on Econometrics that merges themes from other disciplines such as Inference, Proportional hazards model, Regression analysis, Estimation and Survival analysis.
It connects the study in Bayesian probability with the closely related area of Data mining. The journal focuses on Artificial intelligence but the discussions also offer insight into other areas such as Machine learning and Pattern recognition. The study on Missing data featured in it expounds on the topic of Imputation (statistics) in particular.
The most cited publications tackle a plethora of topics, such as Statistics, Econometrics, Data mining, Covariate and Missing data. The featured Statistics studies in the journal publications mainly concentrate on Random effects model but also cover areas of interest in Multivariate statistics. The journal publications explore topics in Econometrics which can be helpful for research in disciplines like Meta-analysis, Regression analysis, Proportional hazards model and Bayesian probability.
Statistics, Artificial intelligence, Sample size determination, Machine learning and Covariate are the subjects of interest in Statistical Methods in Medical Research. The research on Statistics discussed in the journal draws on the closely related field of Inference. It links adjacent topics like Artificial intelligence with Logistic regression.
Machine learning research presented in it encompasses a variety of subjects, including Clinical trial, Bayesian probability and Process (engineering). The journal features research on Covariate in an attempt to reinforce studies in the field of Econometrics. The research on Proportional hazards model tackled can also make contributions to studies in the areas of Regression analysis and Survival analysis.
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 Statistical Methods in Medical Research (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 Statistical Methods in Medical Research (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, 2.40% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 22.70% were posted by at least one author from the top 10 institutions publishing in the journal. Another 11.04% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 15.95% of all publications and 50.31% 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.
Carolin Vegvari;Sam Abbott;Frank Ball;Ellen Brooks-Pollock
(2021)Shuwei Li;Qiwei Wu;Jianguo Sun
(2020)Peter C Austin;Neal Thomas;Donald B Rubin
(2020)Rodney Sparapani;Brent R Logan;Robert E McCulloch;Purushottam W Laud
(2020)Wei Liu;Frank Bretz;Mario Cortina-Borja
(2021)Oliver Dukes;Stijn Vansteelandt;Stijn Vansteelandt
(2020)Vicente G Cancho;Jorge L Bazán;Dipak K Dey
(2020)Derek S Young;Thomas Mathew
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