Judith D. Singer

What is she best known for?

The fields of study she is best known for:

• Statistics
• Health care
• Regression analysis

Judith D. Singer mostly deals with Socioeconomic status, Econometrics, Data collection, Special education and Mathematics education. The various areas that Judith D. Singer examines in her Econometrics study include Regression analysis, Marginal model, Mathematical model and Multilevel model. Her Multilevel model research is multidisciplinary, incorporating perspectives in Computer Applications, Goodness of fit, Algorithm, Statistic and Mixed model.

Her Data collection research includes themes of Statistical model and Data science. Her Special education research incorporates themes from Test, Longitudinal study, Down syndrome and Career development. She combines subjects such as Event, Covariance, Latent growth modeling and Hazard with her study of Proportional hazards model.

Her most cited work include:

• Applied Longitudinal Data Analysis (7027 citations)
• Using SAS PROC MIXED to Fit Multilevel Models, Hierarchical Models, and Individual Growth Models (2465 citations)
• It's About Time: Using Discrete-Time Survival Analysis to Study Duration and the Timing of Events (589 citations)

What are the main themes of her work throughout her whole career to date?

Judith D. Singer focuses on Special education, Survival analysis, Statistics, Mathematics education and Discrete time and continuous time. Her research in the fields of Mainstreaming overlaps with other disciplines such as Metropolitan area. Her biological study deals with issues like Data science, which deal with fields such as Statistical model.

Statistics is frequently linked to Econometrics in her study. As a part of the same scientific study, Judith D. Singer usually deals with the Mathematics education, concentrating on Pedagogy and frequently concerns with Medical education and Specialty. Her Discrete time and continuous time research is multidisciplinary, relying on both Logistic regression and Déjà vu.

She most often published in these fields:

• Special education (15.62%)
• Survival analysis (14.58%)
• Statistics (12.50%)

What were the highlights of her more recent work (between 2004-2019)?

• Survival analysis (14.58%)
• Econometrics (9.38%)
• Multilevel model (8.33%)

In recent papers she was focusing on the following fields of study:

Her main research concerns Survival analysis, Econometrics, Multilevel model, Statistics and Discrete time and continuous time. Her Survival function study, which is part of a larger body of work in Survival analysis, is frequently linked to Genealogy, bridging the gap between disciplines. Her studies in Econometrics integrate themes in fields like Single-index model, Generalized linear mixed model and Marginal model.

Her Multilevel model study combines topics from a wide range of disciplines, such as Latent growth modeling, Mixed model and Growth curve. Her work carried out in the field of Growth curve brings together such families of science as Outcome, Random coefficient model and Applied mathematics. Her Censoring research integrates issues from Observational study, Research design, Covariate, Psychological research and Statistical model.

Between 2004 and 2019, her most popular works were:

• Maternal correlates of growth in toddler vocabulary production in low-income families. (499 citations)
• Testing international education assessments (11 citations)
• Growth Curve Modeling (9 citations)

In her most recent research, the most cited papers focused on:

• Statistics
• Health care
• Regression analysis

International education, Educational assessment, Event, Survival analysis and Discrete time and continuous time are her primary areas of study. Her International education study incorporates themes from MEDLINE and Public relations. Educational assessment is a subfield of Mathematics education that Judith D. Singer tackles.

While working in this field, Judith D. Singer studies both Event and Statistics.