Regression discontinuity threshold optimization. [PDF]
PLoS ONE, 2022 Treatments often come with thresholds, e.g. we are given statins if our cholesterol is above a certain threshold. But which statin administration threshold maximizes our quality of life adjusted years?
Ioana Marinescu +2 more
doaj +4 more sources
Limitless Regression Discontinuity [PDF]
Journal of Educational and Behavioral Statistics, 2019 Conventionally, regression discontinuity analysis contrasts a univariate regression’s limits as its independent variable, R, approaches a cut point, c, from either side. Alternative methods target the average treatment effect in a small region around c, at the cost of an assumption that treatment assignment, [Formula: see text], is ignorable vis-à-vis
Adam C. Sales, Ben B. Hansen
openalex +4 more sources
Regression Discontinuity Designs in Epidemiology: A Practical Guide [PDF]
Clinical EpidemiologyAidan G O’Keeffe,1 Irene Petersen2,3 1School of Mathematical Sciences, University of Nottingham, Nottingham, NG7 2RD, UK; 2Research Department of Primary Care and Population Health, University College London, London, NW3 2PF, UK; 3Department of Clinical ...
O'Keeffe AG, Petersen I
doaj +2 more sources
Modified sharp regression discontinuity model to settings with fuzzy variables [PDF]
BMC Research Notes, 2023 Objective The goal of this study is to develop a Modified Sharp Regression Discontinuity model to predict alcohol consumption in People Living with Human Immunodeficiency Virus (HIV) and Acquired Immunodeficiency Syndrome (AIDS). Previous studies focused
Portia K. Mafukidze +2 more
doaj +2 more sources
Regression discontinuity design with covariates [PDF]
Working Paper Series, 2007 In this paper, the regression discontinuity design (RDD) is generalized to account for differences in observed covariates X in a fully nonparametric way. It is shown that the treatment effect can be estimated at the rate for one-dimensional nonparametric regression irrespective of the dimension of X.
Markus Frölich
openaire +10 more sources
Regression discontinuity inference with specification error [PDF]
Journal of Econometrics, 2008 Abstract A regression discontinuity (RD) research design is appropriate for program evaluation problems in which treatment status (or the probability of treatment) depends on whether an observed covariate exceeds a fixed threshold. In many applications the treatment-determining covariate is discrete.
David S. Lee, David Card
openaire +4 more sources
Regression discontinuity design for the study of health effects of exposures acting early in life [PDF]
Frontiers in Public HealthRegression discontinuity design (RDD) is a quasi-experimental approach to study the causal effect of an exposure on later outcomes by exploiting the discontinuity in the exposure probability at an assignment variable cut-off.
Maja Popovic +4 more
doaj +2 more sources
Impacts of consumption tracking and tailored feedback on meeting nutritional recommendations: a longitudinal regression discontinuity study [PDF]
Nutrition JournalBackground Malnutrition continues to have large and negative impacts on millions of people. Lack of nutrition education and access to accurate information can be large barriers to healthy eating.
Nathaniel Jensen +3 more
doaj +2 more sources
Effect of the 2022 COVID-19 booster vaccination campaign in people aged 50 years in England: Regression discontinuity analysis in OpenSAFELY-TPP. [PDF]
VaccineSchaffer AL +13 more
europepmc +2 more sources
When Does Losing Lead to Winning? An Empirical Investigation on the Korean Professional Basketball League [PDF]
Cheyuk gwahag yeon-gu, 2023 PURPOSE This study was conducted to refine and verify the argument by Berger & Pope (2011). Based on expectancy theory, we expected that the existence or type of regression discontinuity could vary depending on the situation and time in Korean ...
Sang Hyun Lee +2 more
doaj +1 more source