Paul R Rosenbaum

Dados Biográficos

ID5535165
NOMEPaul R Rosenbaum
PRENOMESPaul R
SOBRENOMERosenbaum
ASSINATURAROSENBAUM P R
AFILIAÇÕESUniversity of Pennsylvania
ORCID0000-0003-0872-1403
VERIFICADONão
TOTAL DE OBRAS23
TOTAL DE CITAÇÕES21
TOTAL COMO AUTOR23
TOTAL COMO EDITOR0
PRIMEIRO ANO DE PUBLICAÇÃO1981
ANO MAIS RECENTE DE PUBLICAÇÃO2026
ÍNDICE H1

  • Improving the Evaluation of Low-Volume Hospitals

    Jeffrey H Silber, Paul R Rosenbaum et al.ARTICLEMedical Care2026Referências: 21

    BACKGROUND AND OBJECTIVE: Low volume has been recognized as a problem when benchmarking hospitals due to outcome rate instability. We asked if low-volume hospital outcomes, using matching to control for many clinical and sociodemographic characteristics, would expose quality problems not observed with CMS methods. RESEARCH DESIGN: Matched cohort study. Grades derive from mortality differences between all patients at the low-volume hospital and th…

  • Navigating global health diplomacy

    Open AccessPaul R Rosenbaum, Paul Rosenbaum et al.ARTICLEGlobalization and Health2025

    Addressing global health challenges requires complex coordination and collaboration between actors, often through the process of Global Health Diplomacy (GHD). Although considerable scholarship argues the importance of improving this process to build better health policies and systems, few studies have investigated the ‘health diplomats’ directly leading this work. In this study, we seek to better understand GHD from a practitioners’ view by expl…

  • Grading Hospitals Using Multivariate Matching

    Jeffrey H Silber, Paul R Rosenbaum et al.ARTICLEMedical Care2025Referências: 31

    BACKGROUND AND OBJECTIVES: To improve upon existing hospital grading systems, we developed a new report card based on multivariate matching. RESEARCH DESIGN: Matched cohorts. For each focal hospital patient, we match 10 control patients treated at "well-resourced" hospitals with excellent hospital characteristics from across the nation, and 10 control patients treated at "typical" hospitals, on over 300 patient characteristics from Medicare Claim…

  • The Safety of Performing Surgery at Ambulatory Surgery Centers Versus Hospital Outpatient Departments in Older Patients With or Without Multimorbidity

    Jeffrey H Silber, Paul R Rosenbaum et al.ARTICLEMedical Care2023Referências: 33

    BACKGROUND: Surgery for older Americans is increasingly being performed at ambulatory surgery centers (ASCs) rather than hospital outpatient departments (HOPDs), while rates of multimorbidity have increased. OBJECTIVE: To determine whether there are differential outcomes in older patients undergoing surgical procedures at ASCs versus HOPDs. RESEARCH DESIGN: Matched cohort study. SUBJECTS: Of Medicare patients, 30,958 were treated in 2018 and 2019…

  • Comparing Resource Use in Medical Admissions of Children With Complex Chronic Conditions

    Jeffrey H Silber, Paul R Rosenbaum et al.ARTICLEMedical Care2019Referências: 37

    BACKGROUND: Children with complex chronic conditions (CCCs) utilize a disproportionate share of hospital resources. OBJECTIVE: We asked whether some hospitals display a significantly different pattern of resource utilization than others when caring for similar children with CCCs admitted for medical diagnoses. RESEARCH DESIGN: Using Pediatric Health Information System data from 2009 to 2013, we constructed an inpatient Template of 300 children wi…

  • Defining Multimorbidity in Older Surgical Patients

    Jeffrey H Silber, Joseph G Reiter et al.ARTICLEMedical Care2018Referências: 43

    BACKGROUND: There are numerous definitions of multimorbidity (MM). None systematically examines specific comorbidity combinations accounting for multiple testing when exploring large datasets. OBJECTIVES: Develop and validate a list of all single, double, and triple comorbidity combinations, with each individual qualifying comorbidity set (QCS) more than doubling the odds of mortality versus its reference population. Patients with at least 1 QCS …

  • Observational Studies

    Open AccessPaul R RosenbaumCHAPTERInternational Encyclopedia of the…2015

  • Examining Causes of Racial Disparities in General Surgical Mortality

    Jeffrey H Silber, Paul R Rosenbaum et al.ARTICLEMedical Care2015Referências: 38

    BACKGROUND: Racial disparities in general surgical outcomes are known to exist but not well understood. OBJECTIVES: To determine if black-white disparities in general surgery mortality for Medicare patients are attributable to poorer health status among blacks on admission or differences in the quality of care provided by the admitting hospitals. RESEARCH DESIGN: Matched cohort study using Tapered Multivariate Matching. SUBJECTS: All black elderl…

  • Design of Observational Studies

    Open AccessPaul R RosenbaumBOOKDesign of Observational Studies2010

  • Prolonged Hospital Stay and the Resident Duty Hour Rules of 2003

    Jeffrey H Silber, Paul R Rosenbaum et al.ARTICLEMedical Care2009Referências: 23

    BACKGROUND: Resident duty hour reforms of 2003 had the potential to create a major impact on the delivery of inpatient care. OBJECTIVE: We examine whether the reforms influenced the probability of a patient experiencing a prolonged hospital length of stay (PLOS), a measure reflecting either inefficiency of care or the development of complications that may slow the rate of discharge. RESEARCH DESIGN: Conditional logistic models to compare PLOS in …

  • Combining group-based trajectory modeling and propensity score matching for causal inferences in nonexperimental longitudinal data

    Amelia M Haviland, Amelia Haviland et al.ARTICLEDevelopmental Psychology2008Citada por: 21Referências: 4

    A central theme of research on human development and psychopathology is whether a therapeutic intervention or a turning-point event, such as a family break-up, alters the trajectory of the behavior under study. This article describes and applies a method for using observational longitudinal data to make more transparent causal inferences about the impact of such events on developmental trajectories. The method combines 2 distinct lines of researc…

  • Changes in Prognosis After the First Postoperative Complication

    Jeffrey H Silber, Paul R Rosenbaum et al.ARTICLEMedical Care2005Referências: 17

    BACKGROUND: Postoperative complications are common in the Medicare population, yet no study has formally quantified the change in prognosis that occurs after a broad range of first complications. OBJECTIVE: We sought to estimate the relative severity of 24 first postoperative complications. RESEARCH DESIGN: We undertook a multivariate matched, population-based, case-control study of death after surgery in a sample of 1362 Pennsylvania Medicare pa…

  • Observational Studies

    Open AccessPaul R RosenbaumBOOKObservational Studies2002

  • Covariance Adjustment in Randomized Experiments and Observational Studies

    Paul R RosenbaumARTICLEStatistical Science2002

    By slightly reframing the concept of covariance adjustment in randomized experiments, a method of exact permutation inference is derived that is entirely free of distributional assumptions and uses the random assignment of treatments as the "reasoned basis for inference.'' This method of exact permutation inference may be used with many forms of covariance adjustment, including robust regression and locally weighted smoothers. The method is then …

  • Multivariate Matching and Bias Reduction in the Surgical Outcomes Study

    Jeffrey H Silber, Paul R Rosenbaum et al.ARTICLEMedical Care2001Referências: 31

    BACKGROUND: Outcomes studies often need a level of detail that is not present in administrative data, therefore requiring abstraction of medical charts. Case-control methods may be used to improve statistical power and reduce abstraction costs, but limitations of exact matching often preclude the use of many covariates. Unlike exact matching, multivariate matching may allow cases to be matched simultaneously on hundreds of covariates. OBJECTIVES:…

  • A Spurious Correlation Between Hospital Mortality and Complication Rates

    Jeffrey H Silber, Paul R RosenbaumARTICLEMedical Care1997Referências: 22

    OBJECTIVES: When two outcome measures, such as mortality and complication rates, are intended to measure the same underlying quantity (in this case hospital quality of care), one expects they will be highly correlated. In addition, as data quality improves, one expects the correlation will increase. The authors show that these expectations are, in a significant way, mistaken. METHODS: The authors study two outcomes (hospital mortality and complic…

  • Model-Based Direct Adjustment

    Paul R RosenbaumARTICLEJournal of the American…1987

    Direct adjustment or standardization applies population weights to subclass means in an effort to estimate population quantities from a sample that is not representative of the population. Direct adjustment has several attractive features, but when there are many subclasses it can attach large weights to small quantities of data, often in a fairly erratic manner. In the extreme, direct adjustment can attach infinite weight to nonexistent data, a …

  • The Bias Due to Incomplete Matching

    Paul R Rosenbaum, Donald B RubinARTICLEBiometrics1985

  • Constructing a Control Group Using Multivariate Matched Sampling Methods That Incorporate the Propensity Score

    Paul R Rosenbaum, Donald B RubinARTICLEThe American Statistician1985

    Matched sampling is a method for selecting units from a large reservoir of potential controls to produce a control group of modest size that is similar to a treated group with respect to the distribution of observed covariates. We illustrate the use of multivariate matching methods in an observational study of the effects of prenatal exposure to barbiturates on subsequent psychological development. A key idea is the use of the propensity score as…

  • The Consquences of Adjustment for a Concomitant Variable That Has Been Affected by the Treatment

    Paul R RosenbaumARTICLEJournal of the Royal Statistical…1984

    Paul R. Rosenbaum, The Consquences of Adjustment for a Concomitant Variable That Has Been Affected by the Treatment, Journal of the Royal Statistical Society. Series A (General), Vol. 147, No. 5 (1984), pp. 656-666

  • Reducing Bias in Observational Studies Using Subclassification on the Propensity Score

    Paul R Rosenbaum, Donald B RubinARTICLEJournal of the American…1984

    The propensity score is the conditional probability of assignment to a particular treatment given a vector of observed covariates. Previous theoretical arguments have shown that subclassification on the propensity score will balance all observed covariates. Subclassification on an estimated propensity score is illustrated, using observational data on treatments for coronary artery disease. Five subclasses defined by the estimated propensity score…

  • The central role of the propensity score in observational studies for causal effects

    Paul R Rosenbaum, Donald B RubinARTICLEBiometrika1983

    The propensity score is the conditional probability of assignment to a particular treatment given a vector of observed covariates. Both large and small sample theory show that adjustment for the scalar propensity score is sufficient to remove bias due to all observed covariates. Applications include: (i) matched sampling on the univariate propensity score, which is a generalization of discriminant matching, (ii) multivariate adjustment by subclas…

  • Meetings of the New York Psychoanalytic Society

    Fred M Sander, Paul R Rosenbaum et al.ARTICLEThe Psychoanalytic Quarterly1981