Regression Discontinuity Designs in Epidemiology

Supplemental Digital Content is available in the text.

[1]  David S. Lee.  Randomized experiments from non-random selection in U.S. House elections , 2005 .

[2]  D. Campbell,et al.  Regression-Discontinuity Analysis: An Alternative to the Ex-Post Facto Experiment , 1960 .

[3]  T. Bärnighausen,et al.  Social exposure to an antiretroviral treatment programme in rural KwaZulu‐Natal , 2011, Tropical medicine & international health : TM & IH.

[4]  N. Léchopier.  " Experimental and quasi-experimental designs for research on teaching ", de Donald T. Campbell & Julian C. Stanley, (1963). , 2011 .

[5]  Markus Frölich,et al.  Quantile Treatment Effects in the Regression Discontinuity Design: Process Results and Gini Coefficient , 2010, SSRN Electronic Journal.

[6]  M. Newell,et al.  COHORT PROFILE Cohort Profile : Hlabisa HIV Treatment and Care Programme , 2010 .

[7]  Joseph C Cappelleri,et al.  Regression Discontinuity Design , 2015, SAGE Research Methods Foundations.

[8]  D. Rubin.  ASSIGNMENT TO TREATMENT GROUP ON THE BASIS OF A COVARIATE , 1976 .

[9]  Michael J Silverberg,et al.  Effect of early versus deferred antiretroviral therapy for HIV on survival. , 2009, The New England journal of medicine.

[10]  Till Bärnighausen,et al.  Cohort Profile: Africa Centre Demographic Information System (ACDIS) and population-based HIV survey , 2007, International journal of epidemiology.

[11]  Douglas L. Miller,et al.  Does Head Start Improve Children's Life Chances? Evidence from a Regression Discontinuity Design , 2005, SSRN Electronic Journal.

[12]  Jan de Leeuw,et al.  An Evaluation of California's Inmate Classification System Using a Generalized Regression Discontinuity Design , 1999 .

[13]  U. Dafni,et al.  Modeling the Progression of HIV Infection , 1991 .

[14]  Thomas D. Cook,et al.  "Waiting for Life to Arrive": A history of the regression-discontinuity design in Psychology, Statistics and Economics , 2008 .

[15]  Stephen R Cole,et al.  Timing of initiation of antiretroviral therapy in AIDS-free HIV-1-infected patients: a collaborative analysis of 18 HIV cohort studies , 2009, The Lancet.

[16]  C. S. Reichardt,et al.  Reports of the Death of Regression-Discontinuity Analysis are Greatly Exaggerated , 1995 .

[17]  D. Campbell.  Reforms as experiments , 1969 .

[18]  D. Petitti.  Associations are not effects. , 1991, American journal of epidemiology.

[19]  Information, Avoidance Behavior, and Health: The Effect of Ozone on Asthma Hospitalizations , 2009 .

[20]  D. Rubin.  Estimating causal effects of treatments in randomized and nonrandomized studies. , 1974 .

[21]  Heidi L. Williams,et al.  Estimating Marginal Returns to Medical Care: Evidence from At-Risk Newborns , 2008, The quarterly journal of economics.

[22]  David S. Lee,et al.  Regression Discontinuity Designs in Economics , 2009 .

[23]  Lei Wang,et al.  Prevention of HIV-1 infection with early antiretroviral therapy. , 2011, The New England journal of medicine.

[24]  N. Ford,et al.  Early initiation of antiretroviral therapy and associated reduction in mortality, morbidity and defaulting in a nurse-managed, community cohort in Lesotho , 2010, AIDS.

[25]  J. Abbring,et al.  Social Experiments and Instrumental Variables with Duration Outcomes , 2005 .

[26]  David Card,et al.  Does Medicare Save Lives? , 2007, The quarterly journal of economics.

[27]  Richard A. Berk,et al.  Capitalizing on Nonrandom Assignment to Treatments: A Regression-Discontinuity Evaluation of a Crime-Control Program , 1983 .

[28]  Matthew Neidell.  Information, Avoidance Behavior, and Health: The Effect of Ozone on Asthma Hospitalizations , 2008 .

[29]  P. McCullagh,et al.  Generalized Linear Models , 1984 .

[30]  Tommy Stanley,et al.  Sifting Statistical Significance From the Artifact of Regression- Discontinuity Design , 1990 .

[31]  Petra Kaufmann,et al.  Experimental And Quasi Experimental Designs For Research , 2016 .

[32]  J. Hahn,et al.  IDENTIFICATION AND ESTIMATION OF TREATMENT EFFECTS WITH A REGRESSION-DISCONTINUITY DESIGN , 2001 .

[33]  M. Greenstone,et al.  Evidence on the impact of sustained exposure to air pollution on life expectancy from China’s Huai River policy , 2013, Proceedings of the National Academy of Sciences.

[34]  D S Stein,et al.  Within-subject variation in CD4 lymphocyte count in asymptomatic human immunodeficiency virus infection: implications for patient monitoring. , 1994, The Journal of infectious diseases.

[35]  Till Bärnighausen,et al.  Increases in Adult Life Expectancy in Rural South Africa: Valuing the Scale-Up of HIV Treatment , 2013, Science.

[36]  J. Robins,et al.  Instruments for Causal Inference: An Epidemiologist's Dream? , 2006, Epidemiology.

[37]  W. Evans,et al.  The Effect of Income on Mortality: Evidence from the Social Security Notch , 2006, The Review of Economics and Statistics.

[38]  P. McCullagh,et al.  Generalized Linear Models , 1972, Predictive Analytics.

[39]  Till Bärnighausen,et al.  Regression discontinuity designs are underutilized in medicine, epidemiology, and public health: a review of current and best practice. , 2015, Journal of clinical epidemiology.

[40]  H Robbins,et al.  Clinical and prophylactic trials with assured new treatment for those at greater risk: II. Examples. , 1996, American journal of public health.

[41]  J. Angrist,et al.  Estimation of Limited Dependent Variable Models With Dummy Endogenous Regressors , 2001 .

[42]  H. Bang,et al.  Early versus standard antiretroviral therapy for HIV-infected adults in Haiti. , 2010, The New England journal of medicine.

[43]  Karen A. F. Copeland.  Local Polynomial Modelling and its Applications , 1997 .

[44]  Maria Deloria-Knoll,et al.  Survival Benefit of Initiating Antiretroviral Therapy in HIV-Infected Persons in Different CD4+ Cell Strata , 2003, Annals of Internal Medicine.

[45]  J. Mullahy.  Instrumental-Variable Estimation of Count Data Models: Applications to Models of Cigarette Smoking Behavior , 1997, Review of Economics and Statistics.

[46]  J. Angrist,et al.  Digitized by the Internet Archive in 2011 with Funding from Estimation of Limited-dependent Variable Models with Dummy Endogenous Regressors: Simple Strategies for Empirical Practice , 2011 .

[47]  D. Rubin.  Assignment to Treatment Group on the Basis of a Covariate , 1976 .

[48]  Margaret R. Spitz,et al.  Research methodology: Strengthening causal interpretations of nonexperimental data , 2004, Cancer Causes & Control.

[49]  P. Glewwe,et al.  Does information on health status lead to a healthier lifestyle? Evidence from China on the effect of hypertension diagnosis on food consumption. , 2013, Journal of health economics.

[50]  Eric R. Ziegel,et al.  Generalized Linear Models , 2002, Technometrics.

[51]  Joshua D. Angrist,et al.  Identification of Causal Effects Using Instrumental Variables , 1993 .

[52]  J. Robins,et al.  Correcting for non-compliance in randomized trials using rank preserving structural failure time models , 1991 .

[53]  Frank Windmeijer,et al.  Instrumental Variable Estimators for Binary Outcomes , 2009 .

[54]  R. Wood,et al.  Initiating patients on antiretroviral therapy at CD4 cell counts above 200 cells/μl is associated with improved treatment outcomes in South Africa , 2010, AIDS.

[55]  Justin McCrary,et al.  Manipulation of the Running Variable in the Regression Discontinuity Design: A Density Test , 2007 .

[56]  D. Schadendorf,et al.  Increases in Adult Life Expectancy in Rural South Africa : Valuing the Scale-Up of HIV Treatment , 2022 .

[57]  Arthur S. Goldberger,et al.  Selection bias in evaluating treatment effects: Some formal illustrations , 2008 .