Response to the Referees’ report on the paper ”Study protocol for the evaluation of a vocational rehabilitation”

This paper presents a study protocol for the evaluation of a vocational rehabilitation, namely a collaboration between the Swedish Social Insurance Agency and the Public Employment Service, where i ...

[1]  T. Richardson,et al.  Covariate selection for the nonparametric estimation of an average treatment effect , 2011 .

[2]  P. Johansson,et al.  Bootstrap Inference for K-Nearest Neighbour Matching Estimators , 2010, SSRN Electronic Journal.

[3]  P. Johansson,et al.  Non-Parametric Inference for the Effect of a Treatment on Survival Times with Application in the Health and Social Sciences , 2010, SSRN Electronic Journal.

[4]  Trevor Hastie,et al.  Regularization Paths for Generalized Linear Models via Coordinate Descent. , 2010, Journal of statistical software.

[5]  Elizabeth A Stuart,et al.  Matching methods for causal inference: A review and a look forward. , 2010, Statistical science : a review journal of the Institute of Mathematical Statistics.

[6]  P. Austin.  Balance diagnostics for comparing the distribution of baseline covariates between treatment groups in propensity-score matched samples , 2009, Statistics in medicine.

[7]  P. Johansson,et al.  Sick of Your Colleagues' Absence? , 2009, SSRN Electronic Journal.

[8]  S. Pocock,et al.  Strengthening the reporting of observational studies in epidemiology (STROBE) statement: guidelines for reporting observational studies , 2007, BMJ : British Medical Journal.

[9]  D. Rubin.  The design versus the analysis of observational studies for causal effects: parallels with the design of randomized trials , 2007, Statistics in medicine.

[10]  J. Sekhon,et al.  Genetic Matching for Estimating Causal Effects: A General Multivariate Matching Method for Achieving Balance in Observational Studies , 2006, Review of Economics and Statistics.

[11]  M. Gheorghiade,et al.  Heart failure, chronic diuretic use, and increase in mortality and hospitalization: an observational study using propensity score methods. , 2006, European heart journal.

[12]  Nicole A. Lazar,et al.  Statistical Analysis With Missing Data , 2003, Technometrics.

[13]  P. Johansson,et al.  Do economic incentives affect work absence? : Empirical evidence using Swedish micro data , 1996 .

[14]  D. Rubin.  Comment: Which Ifs Have Causal Answers , 1986 .

[15]  P. Holland.  Statistics and Causal Inference , 1985 .

[16]  D. Rubin,et al.  The central role of the propensity score in observational studies for causal effects , 1983 .

[17]  D. V. Lindley,et al.  Randomization Analysis of Experimental Data: The Fisher Randomization Test Comment , 1980 .

[18]  D. Pfeiffer,et al.  Apr 28, 2019 Methods and processes of developing the Strengthening the Reporting of Observational Studies in Epidemiology - , 2016 .

[19]  R Core Team,et al.  R: A language and environment for statistical computing. , 2014 .

[20]  P. Johansson,et al.  Effects of eligibility screening in the sickness insurance: Evidence from a field experiment ☆ , 2013 .

[21]  G. Imbens,et al.  Large Sample Properties of Matching Estimators for Average Treatment Effects , 2004 .

[22]  R. Tibshirani.  Regression Shrinkage and Selection via the Lasso , 1996 .