David W Hosmer
Biographic Data
| ID | 6105983 |
|---|---|
| NAME | David W Hosmer |
| GIVEN NAMES | David W |
| FAMILY NAME | Hosmer |
| SIGNATURE | HOSMER D W |
| AFFILIATIONS | University of Massachusetts Amherst |
| VERIFIED | No |
| TOTAL WORKS | 15 |
| TOTAL CITATIONS | 9 |
| AUTHOR COUNT | 15 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 1980 |
| LATEST PUBLICATION YEAR | 2018 |
| H-INDEX | 1 |
Comparisons of New HIV Rapid Test Kit Performance
Applied Logistic Regression
Applied Survival Analysis
Purposeful selection of variables in logistic regression
BACKGROUND: The main problem in many model-building situations is to choose from a large set of covariates those that should be included in the "best" model. A decision to keep a variable in the model might be based on the clinical or statistical significance. There are several variable selection algorithms in existence. Those methods are mechanical and as such carry some limitations. Hosmer and Lemeshow describe a purposeful selection of covaria…
Development and Validation of a Pregnancy Physical Activity Questionnaire
PURPOSE: The effect of physical activity during pregnancy on maternal and fetal health remains controversial and studies have yet to identify the optimal dose of physical activity associated with favorable pregnancy outcomes. The aim of this study was to develop and validate a pregnancy physical activity questionnaire (PPAQ). METHODS: To ascertain the type, duration, and frequency of physical activities performed by pregnant women, three 24-h phy…
Risk and Protective Factors for Adult and Child Hunger Among Low-Income Housed and Homeless Female-Headed Families
Objectives. We sought to identify factors associated with adult or child hunger. Methods. Low-income housed and homeless mothers were interviewed about socioeconomic, psychosocial, health, and food sufficiency information. Multinomial logistic regression produced models predicting adult or child hunger. Results. Predictors of adult hunger included mothers’ childhood sexual molestation and current parenting difficulties, or “hassles.” Risk factors…
Hunger
Objective. Hunger, with its adverse consequences for children, continues to be an important national problem. Previous studies that document the deleterious effects of hunger among children cannot distinguish child from family hunger and do not take into account some critical environmental, maternal, and child variables that may influence child outcomes. This study examines the independent contribution of child hunger on children’s physical and m…
Applied Logistic Regression
In this revised and updated edition, the authors continue to provide an accessible introduction to the logistic regression model while incorporating advances of the last decade, including a variety of software packages for the analysis of data sets. They extend the discussion from biostatistics and epidemiology to cutting-edge applications in data mining and machine learning, guiding readers step-by-step through the use of modeling techniques for…
Influence of a Mindfulness Meditation-Based Stress Reduction Intervention on Rates of Skin Clearing in Patients With Moderate to Severe Psoriasis Undergoing Photo Therapy (UVB) and Photochemotherapy (…
OBJECTIVE: This study tests the hypothesis that stress reduction methods based on mindfulness meditation can positively influence the rate at which psoriasis clears in patients undergoing phototherapy or photochemotherapy treatment. METHODS: Thirty-seven patients with psoriasis about to undergo ultraviolet phototherapy (UVB) or photochemotherapy (PUVA) were randomly assigned to one of two conditions: a mindfulness meditation-based stress reductio…
Medicare Treatment Differences for Blacks and Whites
OBJECTIVES: This study investigated racial differences in procedure use among elderly Medicare beneficiaries. It is hypothesized that providers do not discriminate inappropriately in treating black and white patients and that the apparent differences in black-white treatment could be attributed to other differences between the two populations. METHODS: Rates of use for selected procedures were examined among two patient groups: (1) the universe o…
Applied Logistic Regression
Confidence Interval Estimation of Interaction
Relative excess risk due to interaction, the proportion of disease among those with both exposures that is attributable to their interaction, and the synergy index have been proposed as measures of interaction in epidemiologic studies. This paper presents the methodology for obtaining confidence interval estimates of these indices utilizing routinely available output from multiple logistic regression software.
Best Subsets Logistic Regression
Selection of covariates is an important step in any regression modeling situation. An effective strategy when the model is a linear regression with normal errors is to use a software package that implements a best subsets selection algorithm. A number of years ago Lawless and Singhal (1978) proposed a method for efficiently screening nonnormal regression models, thus providing the basis for best subsets nonlinear regression. Recently Lawless and …
A Review of Goodness of Fit Statistics for Use in the Development of Logistic Regression Models1
Several statistics have recently been proposed for the purpose of assessing the goodness of fit of an estimated logistic regression model. These statistics are reviewed and compared to other, less formal, procedures in the context of applications in epidemiologic research. One statistic is recommended for use and its computation is illustrated using data from a recent study of mortality of intensive care unit patients.
Goodness of fit tests for the multiple logistic regression model
Several test statistics are proposed for the purpose of assessing the goodness of fit of the multiple logistic regression model. The test statistics are obtained by applying a chi-square test for a contingency table in which the expected frequencies are determined using two different grouping strategies and two different sets of distributional assumptions. The null distributions of these statistics are examined by applying the theory for chi-squa…
Risk and Protective Factors for Adult and Child Hunger Among Low-Income Housed and Homeless Female-Headed Families
Objectives. We sought to identify factors associated with adult or child hunger. Methods. Low-income housed and homeless mothers were interviewed about socioeconomic, psychosocial, health, and food sufficiency information. Multinomial logistic regression produced models predicting adult or child hunger. Results. Predictors of adult hunger included mothers’ childhood sexual molestation and current parenting difficulties, or “hassles.” Risk factors…
Applied Logistic Regression
Goodness of fit tests for the multiple logistic regression model
Several test statistics are proposed for the purpose of assessing the goodness of fit of the multiple logistic regression model. The test statistics are obtained by applying a chi-square test for a contingency table in which the expected frequencies are determined using two different grouping strategies and two different sets of distributional assumptions. The null distributions of these statistics are examined by applying the theory for chi-squa…
A Review of Goodness of Fit Statistics for Use in the Development of Logistic Regression Models1
Several statistics have recently been proposed for the purpose of assessing the goodness of fit of an estimated logistic regression model. These statistics are reviewed and compared to other, less formal, procedures in the context of applications in epidemiologic research. One statistic is recommended for use and its computation is illustrated using data from a recent study of mortality of intensive care unit patients.
Best Subsets Logistic Regression
Selection of covariates is an important step in any regression modeling situation. An effective strategy when the model is a linear regression with normal errors is to use a software package that implements a best subsets selection algorithm. A number of years ago Lawless and Singhal (1978) proposed a method for efficiently screening nonnormal regression models, thus providing the basis for best subsets nonlinear regression. Recently Lawless and …
Confidence Interval Estimation of Interaction
Relative excess risk due to interaction, the proportion of disease among those with both exposures that is attributable to their interaction, and the synergy index have been proposed as measures of interaction in epidemiologic studies. This paper presents the methodology for obtaining confidence interval estimates of these indices utilizing routinely available output from multiple logistic regression software.
Applied Logistic Regression
Medicare Treatment Differences for Blacks and Whites
OBJECTIVES: This study investigated racial differences in procedure use among elderly Medicare beneficiaries. It is hypothesized that providers do not discriminate inappropriately in treating black and white patients and that the apparent differences in black-white treatment could be attributed to other differences between the two populations. METHODS: Rates of use for selected procedures were examined among two patient groups: (1) the universe o…
Influence of a Mindfulness Meditation-Based Stress Reduction Intervention on Rates of Skin Clearing in Patients With Moderate to Severe Psoriasis Undergoing Photo Therapy (UVB) and Photochemotherapy (…
OBJECTIVE: This study tests the hypothesis that stress reduction methods based on mindfulness meditation can positively influence the rate at which psoriasis clears in patients undergoing phototherapy or photochemotherapy treatment. METHODS: Thirty-seven patients with psoriasis about to undergo ultraviolet phototherapy (UVB) or photochemotherapy (PUVA) were randomly assigned to one of two conditions: a mindfulness meditation-based stress reductio…
Applied Logistic Regression
In this revised and updated edition, the authors continue to provide an accessible introduction to the logistic regression model while incorporating advances of the last decade, including a variety of software packages for the analysis of data sets. They extend the discussion from biostatistics and epidemiology to cutting-edge applications in data mining and machine learning, guiding readers step-by-step through the use of modeling techniques for…
Hunger
Objective. Hunger, with its adverse consequences for children, continues to be an important national problem. Previous studies that document the deleterious effects of hunger among children cannot distinguish child from family hunger and do not take into account some critical environmental, maternal, and child variables that may influence child outcomes. This study examines the independent contribution of child hunger on children’s physical and m…
Development and Validation of a Pregnancy Physical Activity Questionnaire
PURPOSE: The effect of physical activity during pregnancy on maternal and fetal health remains controversial and studies have yet to identify the optimal dose of physical activity associated with favorable pregnancy outcomes. The aim of this study was to develop and validate a pregnancy physical activity questionnaire (PPAQ). METHODS: To ascertain the type, duration, and frequency of physical activities performed by pregnant women, three 24-h phy…
Risk and Protective Factors for Adult and Child Hunger Among Low-Income Housed and Homeless Female-Headed Families
Objectives. We sought to identify factors associated with adult or child hunger. Methods. Low-income housed and homeless mothers were interviewed about socioeconomic, psychosocial, health, and food sufficiency information. Multinomial logistic regression produced models predicting adult or child hunger. Results. Predictors of adult hunger included mothers’ childhood sexual molestation and current parenting difficulties, or “hassles.” Risk factors…
Applied Survival Analysis
Purposeful selection of variables in logistic regression
BACKGROUND: The main problem in many model-building situations is to choose from a large set of covariates those that should be included in the "best" model. A decision to keep a variable in the model might be based on the clinical or statistical significance. There are several variable selection algorithms in existence. Those methods are mechanical and as such carry some limitations. Hosmer and Lemeshow describe a purposeful selection of covaria…
Applied Logistic Regression
Comparisons of New HIV Rapid Test Kit Performance
Logistic regression (8 works) · Mathematics (8 works) · Statistics (8 works) · Medicine (6 works) · Advanced Statistical Methods and Models (5 works) · Statistical Methods and Bayesian Inference (4 works) · Computer Science (3 works) · Environmental health (3 works) · Fuzzy Systems and Optimization (3 works) · Grey System Theory Applications (3 works)