James Lepkowski
Dados Biográficos
| ID | 5536210 |
|---|---|
| NOME | James Lepkowski |
| PRENOMES | James |
| SOBRENOME | Lepkowski |
| ASSINATURA | LEPKOWSKI J |
| AFILIAÇÕES | Institute for Social Research, University of Michigan. |
| VERIFICADO | Não |
| TOTAL DE OBRAS | 8 |
| TOTAL DE CITAÇÕES | 0 |
| TOTAL COMO AUTOR | 8 |
| TOTAL COMO EDITOR | 0 |
| PRIMEIRO ANO DE PUBLICAÇÃO | 1991 |
| ANO MAIS RECENTE DE PUBLICAÇÃO | 2007 |
| ÍNDICE H | 0 |
Estimating Regression Standard Errors with Data from the Current Population Survey's Public Use File
This study examines whether reasonable standard errors for multivariate models can be calculated using the public use file of the Current Population Survey's Annual Social and Economic Supplement (CPS ASEC). We restrict our analysis to the 2003 CPS ASEC and model three dependent variables at the individual level. income, poverty, and health insurance coverage. We compare standard error estimates performed on the CPS ASEC public use file with thos…
Unstable Inferences? An Examination of Complex Survey Sample Design Adjustments Using the Current Population Survey for Health Services Research
Statistical analysis of the Current Population Survey's Annual Social and Economic Supplement is used widely in health services research. However, the statistical evidence cited from the Current Population Survey (CPS) is not always consistent because researchers use a variety of methods to produce standard errors that are fundamental to significance tests. This analysis examines the 2002 Annual Social and Economic Supplement's (ASEC) estimates o…
Social and Physical Environments and Disparities in Risk for Cardiovascular Disease
The Healthy Environments Partnership (HEP) is a community-based participatory research effort investigating variations in cardiovascular disease risk, and the contributions of social and physical environments to those variations, among non-Hispanic black, non-Hispanic white, and Hispanic residents in three areas of Detroit, Michigan. Initiated in October 2000 as a part of the National Institute of Environmental Health Sciences' Health Disparities…
Telephone Service Interruption Weighting Adjustments for State Health Insurance Surveys
Telephone Service Interruption Weighting Adjustments for State Health Insurance Surveys
Many states rely on telephone surveys to produce estimates of uninsurance. To the extent that people in households without telephones differ from those living in households with telephones, estimates will be biased due to lack of coverage of those in households without telephones. We find the disparity in estimates of uninsurance in the Current Population Survey (all people vs. those living in households without telephones) shows a similar associ…
Characteristics of Adolescents' Sexual Partners and Their Association with Use of Condoms and Other Contraceptive Methods
CONTEXT: While a number of studies have examined the association between individuals' characteristics and their contraceptive use, few studies have examined the influence of partners' characteristics on individuals' contraceptive use. METHODS: Using nationally representative data from the National Longitudinal Study of Adolescent Health, multiple logistic analyses were conducted to identify associations between the demographic characteristics of …
HMO Marketing and Selection Bias
The research evidence indicates that health maintenance organizations (HMOs) participating in the Tax Equity and Fiscal Responsibility Act of 1982 (TEFRA) At-Risk Program tend to experience favorable selection. Although favorable selection might result from patient decisions, a common conjecture is that it can be induced by HMOs through their marketing activities. The purpose of this study is to examine the relationship between HMO marketing stra…
Selection Bias in Tefra At-Risk HMOs
The issue of selection bias was investigated using data from 22 HMOs who are enrolling Medicare beneficiaries under Tax Equity and Fiscal Responsibility Act of 1982 (TEFRA) at-risk contracts. The study differs from previously published analyses of this issue in that it deals with the current Medicare risk program (TEFRA) rather than with earlier Demonstration Programs; as an indicator of selection bias, it utilizes beneficiary functional health s…
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Selection Bias in Tefra At-Risk HMOs
The issue of selection bias was investigated using data from 22 HMOs who are enrolling Medicare beneficiaries under Tax Equity and Fiscal Responsibility Act of 1982 (TEFRA) at-risk contracts. The study differs from previously published analyses of this issue in that it deals with the current Medicare risk program (TEFRA) rather than with earlier Demonstration Programs; as an indicator of selection bias, it utilizes beneficiary functional health s…
HMO Marketing and Selection Bias
The research evidence indicates that health maintenance organizations (HMOs) participating in the Tax Equity and Fiscal Responsibility Act of 1982 (TEFRA) At-Risk Program tend to experience favorable selection. Although favorable selection might result from patient decisions, a common conjecture is that it can be induced by HMOs through their marketing activities. The purpose of this study is to examine the relationship between HMO marketing stra…
Characteristics of Adolescents' Sexual Partners and Their Association with Use of Condoms and Other Contraceptive Methods
CONTEXT: While a number of studies have examined the association between individuals' characteristics and their contraceptive use, few studies have examined the influence of partners' characteristics on individuals' contraceptive use. METHODS: Using nationally representative data from the National Longitudinal Study of Adolescent Health, multiple logistic analyses were conducted to identify associations between the demographic characteristics of …
Telephone Service Interruption Weighting Adjustments for State Health Insurance Surveys
Telephone Service Interruption Weighting Adjustments for State Health Insurance Surveys
Many states rely on telephone surveys to produce estimates of uninsurance. To the extent that people in households without telephones differ from those living in households with telephones, estimates will be biased due to lack of coverage of those in households without telephones. We find the disparity in estimates of uninsurance in the Current Population Survey (all people vs. those living in households without telephones) shows a similar associ…
Social and Physical Environments and Disparities in Risk for Cardiovascular Disease
The Healthy Environments Partnership (HEP) is a community-based participatory research effort investigating variations in cardiovascular disease risk, and the contributions of social and physical environments to those variations, among non-Hispanic black, non-Hispanic white, and Hispanic residents in three areas of Detroit, Michigan. Initiated in October 2000 as a part of the National Institute of Environmental Health Sciences' Health Disparities…
Unstable Inferences? An Examination of Complex Survey Sample Design Adjustments Using the Current Population Survey for Health Services Research
Statistical analysis of the Current Population Survey's Annual Social and Economic Supplement is used widely in health services research. However, the statistical evidence cited from the Current Population Survey (CPS) is not always consistent because researchers use a variety of methods to produce standard errors that are fundamental to significance tests. This analysis examines the 2002 Annual Social and Economic Supplement's (ASEC) estimates o…
Estimating Regression Standard Errors with Data from the Current Population Survey's Public Use File
This study examines whether reasonable standard errors for multivariate models can be calculated using the public use file of the Current Population Survey's Annual Social and Economic Supplement (CPS ASEC). We restrict our analysis to the 2003 CPS ASEC and model three dependent variables at the individual level. income, poverty, and health insurance coverage. We compare standard error estimates performed on the CPS ASEC public use file with thos…
Healthcare Policy and Management (6 obras) · Medicine (6 obras) · Population (5 obras) · Actuarial science (4 obras) · Business (4 obras) · Computer Science (4 obras) · Environmental health (4 obras) · Mathematics (4 obras) · Statistics (4 obras) · Current Population Survey (3 obras)