What is he best known for?
The fields of study he is best known for:
- Internal medicine
- Statistics
- Disease
His scientific interests lie mostly in Internal medicine, Confounding, Statistics, Epidemiology and Propensity score matching.
His research investigates the connection between Internal medicine and topics such as Surgery that intersect with issues in Risk factor, Cohort study, Relative risk, Confidence interval and Gestation.
His Confounding research integrates issues from Regression analysis and MEDLINE.
In general Statistics, his work in Covariate and Odds ratio is often linked to Variance linking many areas of study.
His research integrates issues of Mean squared error, Confounding Factors, Matching and Variable in his study of Propensity score matching.
The various areas that Kenneth J. Rothman examines in his Prospective cohort study study include Pregnancy and Atrial fibrillation.
His most cited work include:
- No adjustments are needed for multiple comparisons. (3647 citations)
- Modern Epidemiology 3rd edition (1702 citations)
- Epidemiology: An Introduction (1507 citations)
What are the main themes of his work throughout his whole career to date?
Pregnancy, Cohort study, Confidence interval, Internal medicine and Demography are his primary areas of study.
His research in Pregnancy intersects with topics in Prospective cohort study, Gynecology, Fertility and Obstetrics.
His study on Cohort study also encompasses disciplines like
- Cohort which is related to area like Rate ratio,
- Incidence which is related to area like Epidemiology.
His Confidence interval research includes elements of Odds ratio and Confounding.
His study in Confounding is interdisciplinary in nature, drawing from both Regression analysis, Covariate and Propensity score matching.
His studies deal with areas such as Endocrinology, Surgery and Cardiology as well as Internal medicine.
He most often published in these fields:
- Pregnancy (36.47%)
- Cohort study (36.19%)
- Confidence interval (32.82%)
What were the highlights of his more recent work (between 2017-2021)?
- Pregnancy (36.47%)
- Cohort study (36.19%)
- Confidence interval (32.82%)
In recent papers he was focusing on the following fields of study:
His primary areas of study are Pregnancy, Cohort study, Confidence interval, Fertility and Prospective cohort study.
His studies in Pregnancy integrate themes in fields like Medical history, Menstrual cycle, Confounding and Obstetrics.
Kenneth J. Rothman interconnects Percentile, Covariate and Propensity score matching in the investigation of issues within Confounding.
His work in Propensity score matching tackles topics such as Trimming which are related to areas like Statistics.
The study incorporates disciplines such as Absolute risk reduction, Population study, Diabetes mellitus, Major Depression Inventory and Cohort in addition to Cohort study.
His Confidence interval research is within the category of Internal medicine.
Between 2017 and 2021, his most popular works were:
- Selenium exposure and the risk of type 2 diabetes: a systematic review and meta-analysis (70 citations)
- Selenium exposure and the risk of type 2 diabetes: a systematic review and meta-analysis (70 citations)
- Lockdown timing and efficacy in controlling COVID-19 using mobile phone tracking. (41 citations)
In his most recent research, the most cited papers focused on:
- Internal medicine
- Statistics
- Disease
His primary scientific interests are in Confidence interval, Cohort study, Pregnancy, Demography and Prospective cohort study.
His Confidence interval study contributes to a more complete understanding of Internal medicine.
His Cohort study study integrates concerns from other disciplines, such as Tacrolimus, Pimecrolimus and Atopic dermatitis.
Kenneth J. Rothman has researched Pregnancy in several fields, including Absolute risk reduction, Population study and Obstetrics.
In his research on the topic of Demography, Confounding, Infertility and Young adult is strongly related with Fertility.
His work carried out in the field of Confounding brings together such families of science as Regression analysis, Covariate, Epidemiology and Environmental epidemiology.
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