Robustness checks for omitted variable bias. The package includes robustness checks proposed by Oster (2019). 'robomit' replicates (and extends) function available in Stata (closed source) for use in R (open source)
Risk of bias using RoB 2: A revised tool for assessing risk of bias in randomized trials for the RCT...
ROBREG.SRC estimates a linear regression robustly and rapidly. ROBREG.SRC should be especially usefu...
This document provides a detailed description regarding how the analyses in Wilcox et al. (2017) wer...
Helps users in quickly visualizing risk-of-bias assessments performed as part of a systematic review...
robreg provides a number of robust estimators for linear regression models. Among them are the high...
Robustness test results of excluding special data, Logit model and adding two variables.</p
We discuss some computationally efficient procedures for robust variable selection in linear regress...
Description ``Essential' ' Robust Statistics. The goal is to provide tools allowing to ana...
In regression analysis, the presence of outliers in the dataset can strongly distort the classical l...
Description An R software package on statistical tests widely utilized in biostatistics, public poli...
This paper investigates the effects of using residuals from robust regression in place of OLS residu...
The aim of this paper is to describe the implementation and to provide a tutorial for the R package ...
Description ``Essential' ' Robust Statistics. The goal is to provide tools allowing to ana...
Data sets with millions of observations occur nowadays in different areas. An insurance company or a...
robreg provides a number of robust estimators for linear regression models. Among them are the high ...
Risk of bias using RoB 2: A revised tool for assessing risk of bias in randomized trials for the RCT...
ROBREG.SRC estimates a linear regression robustly and rapidly. ROBREG.SRC should be especially usefu...
This document provides a detailed description regarding how the analyses in Wilcox et al. (2017) wer...
Helps users in quickly visualizing risk-of-bias assessments performed as part of a systematic review...
robreg provides a number of robust estimators for linear regression models. Among them are the high...
Robustness test results of excluding special data, Logit model and adding two variables.</p
We discuss some computationally efficient procedures for robust variable selection in linear regress...
Description ``Essential' ' Robust Statistics. The goal is to provide tools allowing to ana...
In regression analysis, the presence of outliers in the dataset can strongly distort the classical l...
Description An R software package on statistical tests widely utilized in biostatistics, public poli...
This paper investigates the effects of using residuals from robust regression in place of OLS residu...
The aim of this paper is to describe the implementation and to provide a tutorial for the R package ...
Description ``Essential' ' Robust Statistics. The goal is to provide tools allowing to ana...
Data sets with millions of observations occur nowadays in different areas. An insurance company or a...
robreg provides a number of robust estimators for linear regression models. Among them are the high ...
Risk of bias using RoB 2: A revised tool for assessing risk of bias in randomized trials for the RCT...
ROBREG.SRC estimates a linear regression robustly and rapidly. ROBREG.SRC should be especially usefu...
This document provides a detailed description regarding how the analyses in Wilcox et al. (2017) wer...
DOI
Add to ORKG