What is he best known for?
The fields of study he is best known for:
- Internal medicine
- Statistics
- Disease
John B. Carlin focuses on Pediatrics, Psychiatry, Young adult, Anxiety and Cohort study.
His studies deal with areas such as Bronchopulmonary dysplasia, Gestational age, Disease, Asthma and Vaccination as well as Pediatrics.
His biological study spans a wide range of topics, including Cross-sectional study and Cohort.
His Anxiety research is multidisciplinary, relying on both Mental health, Depression and Comorbidity.
John B. Carlin studied Mental health and Odds ratio that intersect with Anesthesia.
His work in Cohort study covers topics such as Prospective cohort study which are related to areas like Cystic fibrosis and Respiratory disease.
His most cited work include:
- Bayesian Data Analysis (13605 citations)
- Multiple imputation for missing data in epidemiological and clinical research: potential and pitfalls. (3541 citations)
- Bias, prevalence and kappa (1351 citations)
What are the main themes of his work throughout his whole career to date?
John B. Carlin spends much of his time researching Pediatrics, Internal medicine, Cohort study, Statistics and Psychiatry.
His Pediatrics research focuses on subjects like Asthma, which are linked to Allergy and Odds ratio.
John B. Carlin interconnects Gastroenterology, Endocrinology and Cardiology in the investigation of issues within Internal medicine.
His Cohort study research is multidisciplinary, incorporating elements of Cohort and Risk factor.
His Statistics study frequently links to related topics such as Econometrics.
His research on Psychiatry frequently connects to adjacent areas such as Young adult.
He most often published in these fields:
- Pediatrics (26.25%)
- Internal medicine (14.87%)
- Cohort study (13.66%)
What were the highlights of his more recent work (between 2016-2021)?
- Longitudinal study (8.50%)
- Pregnancy (7.44%)
- Statistics (16.08%)
In recent papers he was focusing on the following fields of study:
John B. Carlin mostly deals with Longitudinal study, Pregnancy, Statistics, Cross-sectional study and Body mass index.
His Longitudinal study research includes elements of Mental health and Gerontology.
His study on Missing data, Imputation and Selection bias is often connected to Context as part of broader study in Statistics.
John B. Carlin has included themes like Data mining, Linear regression, Artificial intelligence and Random effects model in his Missing data study.
John B. Carlin focuses mostly in the field of Cross-sectional study, narrowing it down to matters related to Epidemiology and, in some cases, Concordance and Pediatrics.
In his research on the topic of Pediatrics, Substance abuse and Proportional hazards model is strongly related with Confidence interval.
Between 2016 and 2021, his most popular works were:
- Time-Use Patterns and Health-Related Quality of Life in Adolescents (58 citations)
- Time-Use Patterns and Health-Related Quality of Life in Adolescents (58 citations)
- Health and wellbeing of Indigenous adolescents in Australia: a systematic synthesis of population data (48 citations)
In his most recent research, the most cited papers focused on:
- Internal medicine
- Statistics
- Disease
The scientist’s investigation covers issues in Longitudinal study, Cross-sectional study, Missing data, Imputation and Pregnancy.
John B. Carlin has researched Longitudinal study in several fields, including Bioelectrical impedance analysis, Obesity and Cohort study.
The concepts of his Cross-sectional study study are interwoven with issues in Metabolome, Concordance and Confidence interval.
His Missing data research is within the category of Statistics.
His Imputation research incorporates elements of Cross-validation, Data mining, Model checking, Multivariate normal distribution and Mixed model.
His biological study spans a wide range of topics, including Depression and C-reactive protein.
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