What is he best known for?
The fields of study he is best known for:
- Statistics
- Internal medicine
- Disease
Juan Merlo mainly investigates Multilevel model, Public health, Demography, Gerontology and Neighbourhood.
Juan Merlo has researched Multilevel model in several fields, including Odds ratio, Social epidemiology, Econometrics, Cluster analysis and Regression analysis.
His biological study spans a wide range of topics, including Covariate and Logistic regression.
His research in Public health tackles topics such as Health care which are related to areas like Response rate, Questionnaire and Survey sampling.
His studies in Demography integrate themes in fields like Overweight, Obesity and Socioeconomic status.
Juan Merlo has included themes like Body mass index, Odds, Epidemiology and Cross-sectional study in his Gerontology study.
His most cited work include:
- A brief conceptual tutorial of multilevel analysis in social epidemiology: using measures of clustering in multilevel logistic regression to investigate contextual phenomena (943 citations)
- Appropriate Assessment of Neighborhood Effects on Individual Health: Integrating Random and Fixed Effects in Multilevel Logistic Regression (682 citations)
- Social capital and health : does egalitarianism matter? A literature review (430 citations)
What are the main themes of his work throughout his whole career to date?
His primary scientific interests are in Public health, Multilevel model, Demography, Socioeconomic status and Odds ratio.
His Public health research is multidisciplinary, relying on both Cross-sectional study, Epidemiology, Health care and Environmental health.
The study incorporates disciplines such as Social epidemiology, Social capital and Social engagement in addition to Multilevel model.
His Demography research integrates issues from Young adult, Gerontology, Social medicine and Receiver operating characteristic.
His work in Gerontology addresses issues such as Cohort study, which are connected to fields such as Incidence and Cohort.
Juan Merlo interconnects Logistic regression and Confidence interval in the investigation of issues within Odds ratio.
He most often published in these fields:
- Public health (34.88%)
- Multilevel model (31.01%)
- Demography (27.91%)
What were the highlights of his more recent work (between 2015-2021)?
- Multilevel model (31.01%)
- Public health (34.88%)
- Demography (27.91%)
In recent papers he was focusing on the following fields of study:
His scientific interests lie mostly in Multilevel model, Public health, Demography, Odds ratio and Socioeconomic status.
His work deals with themes such as Individual heterogeneity and Random effects model, which intersect with Multilevel model.
His Public health research incorporates themes from Intersectionality, Medical prescription, Pharmacoepidemiology and Social psychology.
His Demography research incorporates elements of Psychological intervention, Young adult, Health policy, COPD and Receiver operating characteristic.
Juan Merlo combines subjects such as Test, Logistic regression, Statistical inference, Covariate and Medical statistics with his study of Odds ratio.
His Socioeconomic status study incorporates themes from Cross-sectional study, Absolute risk reduction and Environmental health.
Between 2015 and 2021, his most popular works were:
- Intermediate and advanced topics in multilevel logistic regression analysis (165 citations)
- Intimate partner violence against women and the Nordic paradox (100 citations)
- An Original Stepwise Multilevel Logistic Regression Analysis of Discriminatory Accuracy: The Case of Neighbourhoods and Health. (86 citations)
In his most recent research, the most cited papers focused on:
- Statistics
- Internal medicine
- Disease
Juan Merlo mostly deals with Multilevel model, Public health, Odds ratio, Statistics and Confidence interval.
His Multilevel model research is multidisciplinary, incorporating elements of Body mass index, Socioeconomic status, Econometrics and Cross-sectional study.
The Public health study combines topics in areas such as Attributable risk, Social psychology, Disease and Environmental health.
His Odds ratio study combines topics in areas such as Epidemiology, Logistic regression, Surgery and Risk factor.
His studies deal with areas such as Variance and Random effects model as well as Statistics.
The concepts of his Confidence interval study are interwoven with issues in Regression analysis and Covariate.
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