Jalpa A. Doshi

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All published works

Action	Title	Year	Authors
+	dPQL: a lossless distributed algorithm for generalized linear mixed model with application to privacy-preserving hospital profiling	2022	Chongliang Luo Md. Nazmul Islam Natalie E. Sheils John Buresh Martijn J. Schuemie Jalpa A. Doshi Rachel M. Werner David A. Asch Yong Chen
+	Applications of propensity score methods in observational comparative effectiveness and safety research: where have we come and where should we go?	2013	Bijan J. Borah James P. Moriarty William H. Crown Jalpa A. Doshi

Common Coauthors

Coauthor	Papers Together
Chongliang Luo	1
David A. Asch	1
Bijan J. Borah	1
William H. Crown	1
Martijn J. Schuemie	1
James P. Moriarty	1
Natalie E. Sheils	1
Rachel M. Werner	1
John Buresh	1
Yong Chen	1
Md. Nazmul Islam	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+	A critical appraisal of propensity‐score matching in the medical literature between 1996 and 2003	2007	Peter C. Austin	1
+	Explanatory and Pragmatic Attitudes in Therapeutical Trials	2009	Daniel Schwartz J Lellouch	1
+	High-dimensional Propensity Score Adjustment in Studies of Treatment Effects Using Health Care Claims Data	2009	Sebastian Schneeweiß Jeremy A. Rassen Robert J. Glynn Jerry Avorn Helen Mogun M. Alan Brookhart	1
+	Longitudinal Data Analysis for Discrete and Continuous Outcomes	1986	Scott L. Zeger Kung‐Yee Liang	1
+	Principles for modeling propensity scores in medical research: a systematic literature review	2004	Sherry Weitzen Kate L. Lapane Alicia Y. Toledano Anne L. Hume Vincent Mor	1
+ PDF Chat	The design <i>versus</i> the analysis of observational studies for causal effects: parallels with the design of randomized trials	2006	Donald B. Rubin	1
+	Treatments effects from randomized trials and propensity score analyses were similar in similar populations in an example from cardiac surgery	2011	Oliver Kuß Tobias J. Legler Jochen Börgermann	1
+	Reducing Bias in Observational Studies Using Subclassification on the Propensity Score	1984	Paul R. Rosenbaum Donald B. Rubin	1
+	Privacy-Maintaining Propensity Score-Based Pooling of Multiple Databases Applied to a Study of Biologics	2010	Jeremy A. Rassen Daniel H. Solomon Jeffrey R. Curtis Lisa J. Herrinton Sebastian Schneeweiß	1
+	Marginal Structural Models to Estimate the Causal Effect of Zidovudine on the Survival of HIV-Positive Men	2000	Miguel A. Hernán Babette Brumback James M. Robins	1
+	Marginal Structural Models and Causal Inference in Epidemiology	2000	James M. Robins Miguel A. Hernán Babette Brumback	1
+	Approximate Inference in Generalized Linear Mixed Models	1993	N. E. Breslow David Clayton	1
+ PDF Chat	Rare Outcomes, Common Treatments: Analytic Strategies Using Propensity Scores	2002	Leonard E. Braitman Paul R. Rosenbaum	1
+	Some Methods of Propensity‐Score Matching had Superior Performance to Others: Results of an Empirical Investigation and Monte Carlo simulations	2009	Peter C. Austin	1
+	Model-Based Direct Adjustment	1987	Paul R. Rosenbaum	1
+	An Introduction to Propensity Score Methods for Reducing the Effects of Confounding in Observational Studies	2011	Peter C. Austin	1
+ PDF Chat	A review of the application of propensity score methods yielded increasing use, advantages in specific settings, but not substantially different estimates compared with conventional multivariable methods	2005	Til Stürmer‎ Manisha Joshi Robert J. Glynn Jerry Avorn Kenneth J. Rothman Sebastian Schneeweiß	1
+	Utilizing Propensity Scores to Estimate Causal Treatment Effects with Censored Time-Lagged Data	2001	Kevin J. Anstrom Anastasios A. Tsiatis	1
+	Estimating Causal Effects from Large Data Sets Using Propensity Scores	1997	Donald B. Rubin	1
+	Effects of Misspecification of the Propensity Score on Estimators of Treatment Effect	1993	Christiana Drake	1
+	Too Much Ado about Propensity Score Models? Comparing Methods of Propensity Score Matching	2006	O. Başer	1
+	Propensity score methods gave similar results to traditional regression modeling in observational studies: a systematic review	2005	Baiju R. Shah Andreas Laupacis Janet E. Hux Peter C. Austin	1
+ PDF Chat	Registration of observational studies: Is it time?	2010	R. J. Williams Tony Tse W. R. Harlan Deborah A. Zarin	1
+ PDF Chat	Indications for Propensity Scores and Review of their Use in Pharmacoepidemiology	2006	Robert J. Glynn Sebastian Schneeweiß Til Stürmer‎	1
+ PDF Chat	A Statistical Framework for Differential Privacy	2010	Larry Wasserman Shuheng Zhou	1
+	Combining Propensity Score Matching with Additional Adjustments for Prognostic Covariates	2006	Donald B. Rubin Neal J. Thomas	1
+	Sensitivity analysis and external adjustment for unmeasured confounders in epidemiologic database studies of therapeutics	2006	Sebastian Schneeweiß	1
+	Issues in the Reporting and Conduct of Instrumental Variable Studies	2013	Neil M Davies George Davey Smith Frank Windmeijer Richard M. Martin	1
+ PDF Chat	Adjusting Effect Estimates for Unmeasured Confounding with Validation Data using Propensity Score Calibration	2005	Til Stürmer‎ Sebastian Schneeweiß Jerry Avorn Robert J. Glynn	1
+ PDF Chat	Comparing treatment effects between propensity scores and randomized controlled trials: improving conduct and reporting	2012	Gary S. Collins Yannick Le Manach	1
+	A comparison of propensity score methods: a case‐study estimating the effectiveness of post‐AMI statin use	2005	Peter C. Austin Muhammad Mamdani	1
+ PDF Chat	The performance of different propensity score methods for estimating marginal hazard ratios	2012	Peter C. Austin	1
+	Estimating the causal effects of smoking	2001	Donald B. Rubin	1
+	Propensity score methods for bias reduction in the comparison of a treatment to a non-randomized control group	1998	Ralph B. D’Agostino	1
+ PDF Chat	Balance diagnostics for comparing the distribution of baseline covariates between treatment groups in propensity‐score matched samples	2009	Peter C. Austin	1
+	Different measures of treatment effect for different research questions	2009	Peter C. Austin	1
+	Constructing a Control Group Using Multivariate Matched Sampling Methods That Incorporate the Propensity Score	1985	Paul R. Rosenbaum Donald B. Rubin	1
+ PDF Chat	Sensitivity Analysis for Average Treatment Effects	2007	Sascha O. Becker Marco Caliendo	1
+ PDF Chat	Analytic Strategies to Adjust Confounding using Exposure Propensity Scores and Disease Risk Scores: Nonsteroidal Antiinflammatory Drugs and Short-term Mortality in the Elderly	2005	Til Stürmer‎ Sebastian Schneeweiß M. Alan Brookhart Kenneth J. Rothman Jerry Avorn Robert J. Glynn	1
+	Doubly Robust Estimation in Missing Data and Causal Inference Models	2005	Heejung Bang James M. Robins	1
+	The performance of different propensity-score methods for estimating relative risks	2008	Peter C. Austin	1
+ PDF Chat	Identification of Causal Effects Using Instrumental Variables	1996	Joshua D. Angrist Guido W. Imbens Donald B. Rubin	1
+ PDF Chat	Comparison of Logistic Regression versus Propensity Score When the Number of Events Is Low and There Are Multiple Confounders	2003	M. Soledad Cepeda Ray Boston John T. Farrar Brian L. Strom	1
+	Estimating medical costs with censored data	2000	Heejung Bang	1
+ PDF Chat	Analysis of Observational Studies in the Presence of Treatment Selection Bias	2007	Thérèse A. Stukel Elliott S. Fisher David E. Wennberg David A. Alter Daniel J. Gottlieb Marian J. Vermeulen	1
+ PDF Chat	The central role of the propensity score in observational studies for causal effects	1983	Paul R. Rosenbaum Donald B. Rubin	1
+	The Relative Ability of Different Propensity Score Methods to Balance Measured Covariates Between Treated and Untreated Subjects in Observational Studies	2009	Peter C. Austin	1
+	Estimating Treatment Effects Using Observational Data	2007	Ralph B. D’Agostino	1
+ PDF Chat	Do observational studies using propensity score methods agree with randomized trials? A systematic comparison of studies on acute coronary syndromes	2012	Issa J Dahabreh R. Christopher Sheldrick Jessica K. Paulus Mei Chung Vasileia Varvarigou Haseeb Jafri Jeremy A. Rassen Thomas A Trikalinos Georgios D. Kitsios	1
+	A comparison of the ability of different propensity score models to balance measured variables between treated and untreated subjects: a Monte Carlo study	2006	Peter C. Austin Paul Grootendorst Geoffrey M. Anderson	1