Mark P Becker
Biographic Data
| ID | 4168573 |
|---|---|
| NAME | Mark P Becker |
| GIVEN NAMES | Mark P |
| FAMILY NAME | Becker |
| SIGNATURE | BECKER M P |
| AFFILIATIONS | University of Michigan |
| VERIFIED | No |
| TOTAL WORKS | 7 |
| TOTAL CITATIONS | 22 |
| AUTHOR COUNT | 7 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 1988 |
| LATEST PUBLICATION YEAR | 1998 |
| H-INDEX | 3 |
Latent Class Marginal Models for Cross-Classifications of Counts
The standard latent class model is a finite mixture of indirectly observed multinomial distributions, each of which is assumed to exhibit statistical independence. Latent class analysis has been applied in a wide variety of research contexts, including studies of mobility, educational attainment, agreement, and diagnostic accuracy, and as measurement error models in social research. One of the attractive features of the latent class model in thes…
Specifications of Models for Cross-Classified Counts
Log-linear models are useful for analyzing cross-classifications of counts arising in sociology, but it has been argued that in some cases, an alternative approach for formulating models-one based on simultaneously modeling univariate marginal logits and marginal associations-can lead to models that are more directly relevant for addressing the kinds of questions arising in those cases. In this article, the authors explore some of the similaritie…
Editors' Introduction to the Special Issue in Memory of Clifford C. Clogg-Part 2
Origins, Destinations, and Association in Occupational Mobility
Although the literature on occupational mobility distinguishes between structural and circulation (or exchange) mobility, previous methods for simultaneously considering these are inadequate. In this article, nonlinear models of association are combined with linear models for logits of marginal distributions, resulting in models with parameters directly interpretable in terms of association or structural mobility. Goodman's work on combining cate…
Analysis of Cross-Classifications of Counts Using Models for Marginal Distributions
Mark P. Becker, Analysis of Cross-Classifications of Counts Using Models for Marginal Distributions: An Application to Trends in Attitudes on Legalized Abortion, Sociological Methodology, Vol. 24 (1994), pp. 229-265
Physician Decision Making and Variation in Hospital Admission Rates for Suspected Acute Cardiac Ischemia
The authors tested the "uncertainty hypothesis," which holds that variations in rates of hospitalization or surgeries across small geographic areas reflect differences in physicians' decision making when confronting uncertainty. A small-areas variation analysis of suspected acute cardiac ischemia (ACI) admissions in northern Michigan was performed, and two demographically nearly identical towns differing by a factor of 3 in ACI admission rates we…
A Note on Approximating Correlations from Odds Ratios
An approximate relationship between the odds ratio and the tetrachoric correlation for 2×2 contingency tables is presented. The approximation is simple in form and demonstrates a close linkage between these two important measures of association. This relationship can be used to reconcile (at least in part) the two ostensibly different ways to study association or partial association. The approximation is related to Yule's Q and can also be motiva…
Origins, Destinations, and Association in Occupational Mobility
Although the literature on occupational mobility distinguishes between structural and circulation (or exchange) mobility, previous methods for simultaneously considering these are inadequate. In this article, nonlinear models of association are combined with linear models for logits of marginal distributions, resulting in models with parameters directly interpretable in terms of association or structural mobility. Goodman's work on combining cate…
Analysis of Cross-Classifications of Counts Using Models for Marginal Distributions
Mark P. Becker, Analysis of Cross-Classifications of Counts Using Models for Marginal Distributions: An Application to Trends in Attitudes on Legalized Abortion, Sociological Methodology, Vol. 24 (1994), pp. 229-265
Latent Class Marginal Models for Cross-Classifications of Counts
The standard latent class model is a finite mixture of indirectly observed multinomial distributions, each of which is assumed to exhibit statistical independence. Latent class analysis has been applied in a wide variety of research contexts, including studies of mobility, educational attainment, agreement, and diagnostic accuracy, and as measurement error models in social research. One of the attractive features of the latent class model in thes…
Specifications of Models for Cross-Classified Counts
Log-linear models are useful for analyzing cross-classifications of counts arising in sociology, but it has been argued that in some cases, an alternative approach for formulating models-one based on simultaneously modeling univariate marginal logits and marginal associations-can lead to models that are more directly relevant for addressing the kinds of questions arising in those cases. In this article, the authors explore some of the similaritie…
A Note on Approximating Correlations from Odds Ratios
An approximate relationship between the odds ratio and the tetrachoric correlation for 2×2 contingency tables is presented. The approximation is simple in form and demonstrates a close linkage between these two important measures of association. This relationship can be used to reconcile (at least in part) the two ostensibly different ways to study association or partial association. The approximation is related to Yule's Q and can also be motiva…
A Note on Approximating Correlations from Odds Ratios
An approximate relationship between the odds ratio and the tetrachoric correlation for 2×2 contingency tables is presented. The approximation is simple in form and demonstrates a close linkage between these two important measures of association. This relationship can be used to reconcile (at least in part) the two ostensibly different ways to study association or partial association. The approximation is related to Yule's Q and can also be motiva…
Analysis of Cross-Classifications of Counts Using Models for Marginal Distributions
Mark P. Becker, Analysis of Cross-Classifications of Counts Using Models for Marginal Distributions: An Application to Trends in Attitudes on Legalized Abortion, Sociological Methodology, Vol. 24 (1994), pp. 229-265
Physician Decision Making and Variation in Hospital Admission Rates for Suspected Acute Cardiac Ischemia
The authors tested the "uncertainty hypothesis," which holds that variations in rates of hospitalization or surgeries across small geographic areas reflect differences in physicians' decision making when confronting uncertainty. A small-areas variation analysis of suspected acute cardiac ischemia (ACI) admissions in northern Michigan was performed, and two demographically nearly identical towns differing by a factor of 3 in ACI admission rates we…
Latent Class Marginal Models for Cross-Classifications of Counts
The standard latent class model is a finite mixture of indirectly observed multinomial distributions, each of which is assumed to exhibit statistical independence. Latent class analysis has been applied in a wide variety of research contexts, including studies of mobility, educational attainment, agreement, and diagnostic accuracy, and as measurement error models in social research. One of the attractive features of the latent class model in thes…
Specifications of Models for Cross-Classified Counts
Log-linear models are useful for analyzing cross-classifications of counts arising in sociology, but it has been argued that in some cases, an alternative approach for formulating models-one based on simultaneously modeling univariate marginal logits and marginal associations-can lead to models that are more directly relevant for addressing the kinds of questions arising in those cases. In this article, the authors explore some of the similaritie…
Editors' Introduction to the Special Issue in Memory of Clifford C. Clogg-Part 2
Origins, Destinations, and Association in Occupational Mobility
Although the literature on occupational mobility distinguishes between structural and circulation (or exchange) mobility, previous methods for simultaneously considering these are inadequate. In this article, nonlinear models of association are combined with linear models for logits of marginal distributions, resulting in models with parameters directly interpretable in terms of association or structural mobility. Goodman's work on combining cate…
Econometrics (5 works) · Mathematics (5 works) · Computer Science (4 works) · Statistics (4 works) · Artificial Intelligence (2 works) · Artificial Intelligence (2 works) · Class (philosophy (2 works) · Contingency table (2 works) · Logistic regression (2 works) · Marginal model (2 works)