What is he best known for?
The fields of study he is best known for:
- Statistics
- Internal medicine
- Surgery
The scientist’s investigation covers issues in Statistics, Logistic regression, Regression analysis, Goodness of fit and Econometrics.
His biological study spans a wide range of topics, including Generalised logistic function, Calibration, Predictive value of tests, Factor regression model and Multinomial logistic regression.
The concepts of his Factor regression model study are interwoven with issues in Binomial regression, Logistic model tree, Unit-weighted regression and Cross-sectional regression.
The Regression analysis study which covers Covariate that intersects with Data mining, Logistic distribution and Data science.
In general Goodness of fit study, his work on Hosmer–Lemeshow test often relates to the realm of Context, thereby connecting several areas of interest.
His Econometrics study deals with Public health intersecting with Physical therapy.
His most cited work include:
- Applied Logistic Regression (34804 citations)
- Applied Survival Analysis: Regression Modeling of Time-to-Event Data (2928 citations)
- A population-based perspective of the hospital incidence and case-fatality rates of deep vein thrombosis and pulmonary embolism. The Worcester DVT Study (1926 citations)
What are the main themes of his work throughout his whole career to date?
His primary areas of investigation include Statistics, Logistic regression, Econometrics, Goodness of fit and Regression analysis.
His Logistic regression research includes elements of Cross-sectional regression, Multinomial logistic regression, Linear regression and Factor regression model.
His Multinomial logistic regression course of study focuses on Generalised logistic function and Logistic model tree.
His study explores the link between Econometrics and topics such as Ordered logit that cross with problems in Ordinal data and Ordinal regression.
His work in the fields of Goodness of fit, such as Hosmer–Lemeshow test, overlaps with other areas such as Lack-of-fit sum of squares.
His work on Regression analysis is being expanded to include thematically relevant topics such as Missing data.
He most often published in these fields:
- Statistics (51.37%)
- Logistic regression (35.62%)
- Econometrics (28.08%)
What were the highlights of his more recent work (between 2009-2020)?
- Statistics (51.37%)
- Econometrics (28.08%)
- Logistic regression (35.62%)
In recent papers he was focusing on the following fields of study:
David W. Hosmer mainly focuses on Statistics, Econometrics, Logistic regression, Injury prevention and Multinomial logistic regression.
His is doing research in Regression analysis, Ordinal data, Ordinal regression, Binomial regression and Survival data, both of which are found in Statistics.
His research in Econometrics intersects with topics in Goodness of fit, Ordered logit and Proportional hazards model.
His work deals with themes such as Regression dilution, Cross-sectional regression and Factor regression model, which intersect with Logistic regression.
His multidisciplinary approach integrates Multinomial logistic regression and Multinomial test in his work.
He has researched Generalised logistic function in several fields, including Multiple logistic regression analysis, Segmented regression and Logistic model tree.
Between 2009 and 2020, his most popular works were:
- Simplified estimates of the probability of death after burn injuries: extending and updating the baux score. (213 citations)
- Relationship of weight, height, and body mass index with fracture risk at different sites in postmenopausal women: the Global Longitudinal study of Osteoporosis in Women (GLOW). (141 citations)
- A Generalized Hosmer–Lemeshow Goodness-of-Fit Test for Multinomial Logistic Regression Models: (65 citations)
In his most recent research, the most cited papers focused on:
- Statistics
- Internal medicine
- Surgery
David W. Hosmer spends much of his time researching Statistics, Logistic regression, Multinomial logistic regression, Surgery and Econometrics.
In his research, David W. Hosmer performs multidisciplinary study on Statistics and Injury prevention.
His studies in Logistic regression integrate themes in fields like Regression analysis, Cross-sectional regression, Logit and Factor regression model.
His work carried out in the field of Factor regression model brings together such families of science as Multiple logistic regression analysis, Logistic model tree, Survival data and Regression dilution.
His work in Multinomial logistic regression addresses subjects such as Binomial regression, which are connected to disciplines such as Regression diagnostic and Logistic distribution.
David W. Hosmer combines subjects such as Goodness of fit, Hosmer–Lemeshow test and Ordered logit with his study of Econometrics.
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