Regression discontinuity design, Advanced Statistics

Assignment Help:

Regression discontinuity design is the quasi-experimental design in which participants in, for instance, an intervention study, are assigned to the treatment and control groups on the basis of a cutoff value on the pre-intervention measure which affects the outcome, rather than by the randomization. If the treatment has an effect a discontinuity in the outcomes would be predictable at the cutoff. A weakness is that the extrapolation of counterfactual outcomes for treated in absence of treatment is needed, based on the regression model estimated for the non-treated. See the Figure for an illustration where treatment is provided to those below a cutoff on a pretest.

1635_regression discontinuity design.png


Related Discussions:- Regression discontinuity design

Zero-inflated poisson regression, Zero-inflated Poisson regression is  the...

Zero-inflated Poisson regression is  the model for count data with the excess zeros. It supposes that with probability p the only possible observation is 0 and with the probabilit

Helmert contrast, Helmert contrast is the contrast often used in analysis ...

Helmert contrast is the contrast often used in analysis of the variance, in which each level of a factor is tested against average of the remaining levels. So, for instance, if th

Collapsing categories, Collapsing categories : A procedure generally applie...

Collapsing categories : A procedure generally applied to contingency tables in which the two or more row or column categories are combined, in number of cases so as to yield the re

Cross over design, The type of longitudinal study in which the subjects rec...

The type of longitudinal study in which the subjects receive different treatments on the various occasions. Random allocation is required to determine the order in which the treatm

Reinterviewing, Reinterviewing  is the second interview for a sample of sur...

Reinterviewing  is the second interview for a sample of survey respondents in which questions of the original interview (or the subset of them) are repeated again. The same methods

Describe nuisance parameter, Nuisance parameter : The parameter of the mode...

Nuisance parameter : The parameter of the model in which there is no scienti?c interest but whose values are generally required (but in usual are unknown) to make inferences about

Median, Median is the value in a set of the ranked observations which divi...

Median is the value in a set of the ranked observations which divides the data into two parts of equal size. When there are an odd number of observations the median is middle v

Dummy variables, The variables resulting from the recoding categorical vari...

The variables resulting from the recoding categorical variables with more than two categories into the sequence of binary variables. Marital status, for instance, if originally lab

Last observation carried forward, Last observation carried forward is a te...

Last observation carried forward is a technique for replacing the observations of the patients who drop out of the clinical trial carried out over a time period. It consists of su

Describe law of likelihood, Law of likelihood : Within framework of the sta...

Law of likelihood : Within framework of the statistical model, a particular set of data supports one statistical hypothesis or assumption better than another if the likelihood of t

Write Your Message!

Captcha
Free Assignment Quote

Assured A++ Grade

Get guaranteed satisfaction & time on delivery in every assignment order you paid with us! We ensure premium quality solution document along with free turntin report!

All rights reserved! Copyrights ©2019-2020 ExpertsMind IT Educational Pvt Ltd