What is he best known for?
The fields of study he is best known for:
- Internal medicine
- Statistics
- Surgery
Marinus J.C. Eijkemans mainly focuses on Gynecology, Internal medicine, Obstetrics, Logistic regression and Endocrinology.
His Gynecology research integrates issues from In vitro fertilisation, Infertility, Antral follicle, Live birth and Hazard ratio.
His research in Obstetrics intersects with topics in Clinical trial, Intention-to-treat analysis, Internal validation, Artificial insemination and Medical physics.
His study looks at the intersection of Logistic regression and topics like Econometrics with Statistical model.
Marinus J.C. Eijkemans works mostly in the field of Endocrinology, limiting it down to topics relating to Amenorrhea and, in certain cases, Menstrual cycle, Premature ovarian failure, Ovulation induction, Free androgen index and Ovulation.
He focuses mostly in the field of Statistics, narrowing it down to matters related to Discriminative model and, in some cases, Sample.
His most cited work include:
- Internal validation of predictive models: efficiency of some procedures for logistic regression analysis. (1609 citations)
- Prognostic modelling with logistic regression analysis : a comparison of selection and estimation methods in small data sets (557 citations)
- A meta-analysis of pregnancy outcomes in women with polycystic ovary syndrome (534 citations)
What are the main themes of his work throughout his whole career to date?
Marinus J.C. Eijkemans mainly investigates Internal medicine, Gynecology, Obstetrics, Endocrinology and Surgery.
His research integrates issues of Oncology and Cardiology in his study of Internal medicine.
His work deals with themes such as In vitro fertilisation, Fertility, Ovarian reserve, Infertility and Live birth, which intersect with Gynecology.
His In vitro fertilisation study integrates concerns from other disciplines, such as Andrology, Embryo transfer, Stimulation and Pregnancy rate.
Marinus J.C. Eijkemans interconnects Logistic regression, Randomized controlled trial, Intention-to-treat analysis and Cohort in the investigation of issues within Obstetrics.
His work in Surgery covers topics such as Odds ratio which are related to areas like Proportional hazards model.
He most often published in these fields:
- Internal medicine (33.88%)
- Gynecology (32.64%)
- Obstetrics (17.36%)
What were the highlights of his more recent work (between 2015-2021)?
- Internal medicine (33.88%)
- Sample size determination (6.20%)
- Gynecology (32.64%)
In recent papers he was focusing on the following fields of study:
His primary scientific interests are in Internal medicine, Sample size determination, Gynecology, Clinical trial and Cohort.
His Internal medicine research is multidisciplinary, relying on both Endocrinology and Oncology.
To a larger extent, Marinus J.C. Eijkemans studies Statistics with the aim of understanding Sample size determination.
The study incorporates disciplines such as In vitro fertilisation, Anti-Müllerian hormone, Live birth, Obstetrics and Fetus in addition to Gynecology.
His In vitro fertilisation research is multidisciplinary, incorporating elements of Standard treatment and Pregnancy rate.
His studies in Obstetrics integrate themes in fields like Intention-to-treat analysis, Intracytoplasmic sperm injection, Breast cancer and Uterine cavity.
Between 2015 and 2021, his most popular works were:
- Making sense of big data in health research: Towards an EU action plan (144 citations)
- No rationale for 1 variable per 10 events criterion for binary logistic regression analysis (118 citations)
- Maturation of the Infant Respiratory Microbiota, Environmental Drivers and Health Consequences: A Prospective Cohort Study (114 citations)
In his most recent research, the most cited papers focused on:
- Internal medicine
- Statistics
- Surgery
His primary areas of investigation include Internal medicine, Sample size determination, Cohort, Clinical trial and Confidence interval.
Many of his studies on Internal medicine apply to Oncology as well.
His study on Sample size determination is covered under Statistics.
His Cohort research incorporates themes from Odds ratio, Small for gestational age, Prospective cohort study, Gestational diabetes and Physiology.
His study focuses on the intersection of Disease and fields such as Age at menopause with connections in the field of Gynecology.
His Gynecology research includes elements of Free androgen index, Polycystic ovary and Menopause.
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