Where it all begins: Predicting initial therapeutic skills before clinical training in cognitive behavior therapy
Author
Abstract
Suggested Citation
DOI: 10.1371/journal.pone.0294183
Download full text from publisher
References listed on IDEAS
- James R. Carpenter & Harvey Goldstein & Jon Rasbash, 2003. "A novel bootstrap procedure for assessing the relationship between class size and achievement," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 52(4), pages 431-443, October.
Most related items
These are the items that most often cite the same works as this one and are cited by the same works as this one.- Wen Shi & Xi Chen & Jennifer Shang, 2019. "An Efficient Morris Method-Based Framework for Simulation Factor Screening," INFORMS Journal on Computing, INFORMS, vol. 31(4), pages 745-770, October.
- Valéry Dongmo Jiongo & Pierre Nguimkeu, 2018. "Bootstrapping Mean Squared Errors of Robust Small-Area Estimators: Application to the Method-of-Payments Data," Staff Working Papers 18-28, Bank of Canada.
- Carlo Fezzi & Ian Bateman, 2015.
"The Impact of Climate Change on Agriculture: Nonlinear Effects and Aggregation Bias in Ricardian Models of Farmland Values,"
Journal of the Association of Environmental and Resource Economists, University of Chicago Press, vol. 2(1), pages 57-92.
- Carlo Fezzi & Ian Bateman, 2013. "The Impact of Climate Change on Agriculture: Nonlinear Effects and Aggregation Bias in Ricardian Models of Farm Land Values," Working Papers 2013.94, Fondazione Eni Enrico Mattei.
- Fezzi, Carlo & Bateman, Ian J., 2013. "The Impact of Climate Change on Agriculture: Nonlinear Effects and Aggregation Bias in Ricardian Models of Farm Land Values," Climate Change and Sustainable Development 162377, Fondazione Eni Enrico Mattei (FEEM).
- Battagliola, Maria Laura & Sørensen, Helle & Tolver, Anders & Staicu, Ana-Maria, 2022. "A bias-adjusted estimator in quantile regression for clustered data," Econometrics and Statistics, Elsevier, vol. 23(C), pages 165-186.
- David Afshartous & Michael Wolf, 2007.
"Avoiding ‘data snooping’ in multilevel and mixed effects models,"
Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 170(4), pages 1035-1059, October.
- David Afshartous & Michael Wolf, 2005. "Avoiding Data Snooping in Multilevel and Mixed Effects Models," IEW - Working Papers 260, Institute for Empirical Research in Economics - University of Zurich.
- Alina Peluso & Paolo Berta & Veronica Vinciotti, 2019. "Do pay-for-performance incentives lead to a better health outcome?," Empirical Economics, Springer, vol. 56(6), pages 2167-2184, June.
- Flores-Agreda, Daniel & Cantoni, Eva, 2019. "Bootstrap estimation of uncertainty in prediction for generalized linear mixed models," Computational Statistics & Data Analysis, Elsevier, vol. 130(C), pages 1-17.
- Gomes, M & Grieve, R, 2011. "Estimating the Effects of Friendship Networks on Health Behaviors of Adolescents," Health, Econometrics and Data Group (HEDG) Working Papers 11/14, HEDG, c/o Department of Economics, University of York.
- Weidenhammer, Beate & Schmid, Timo & Salvati, Nicola & Tzavidis, Nikos, 2016. "A unit-level quantile nested error regression model for domain prediction with continuous and discrete outcomes," Discussion Papers 2016/12, Free University Berlin, School of Business & Economics.
- George Leckie, 2018. "Avoiding Bias When Estimating the Consistency and Stability of Value-Added School Effects," Journal of Educational and Behavioral Statistics, , vol. 43(4), pages 440-468, August.
- repec:plo:pone00:0220164 is not listed on IDEAS
- L. Bryan, Mark & P. Jenkins, Stephen, 2013.
"Regression analysis of country effects using multilevel data: a cautionary tale,"
ISER Working Paper Series
2013-14, Institute for Social and Economic Research.
- Bryan, Mark L. & Jenkins, Stephen P., 2013. "Regression Analysis of Country Effects Using Multilevel Data: A Cautionary Tale," IZA Discussion Papers 7583, Institute of Labor Economics (IZA).
- Tomasz .Zk{a}d{l}o & Adam Chwila, 2024. "A step towards the integration of machine learning and small area estimation," Papers 2402.07521, arXiv.org.
- Rebecca C. Steorts & Timo Schmid & Nikos Tzavidis, 2020. "Smoothing and Benchmarking for Small Area Estimation," International Statistical Review, International Statistical Institute, vol. 88(3), pages 580-598, December.
- Tomasz Stachurski & Tomasz Ża̧dło & Alicja Wolny-Dominiak, 2024. "Predicting Social Inequality in Poland Using Price Dispersion on the Real Estate Market," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 172(3), pages 985-1003, April.
- Manuel Gomes & Richard Grieve & Richard Nixon & Edmond S.‐W. Ng & James Carpenter & Simon G. Thompson, 2012. "Methods For Covariate Adjustment In Cost‐Effectiveness Analysis That Use Cluster Randomised Trials," Health Economics, John Wiley & Sons, Ltd., vol. 21(9), pages 1101-1118, September.
- Reluga, Katarzyna & Lombardía, María-José & Sperlich, Stefan, 2024. "Bootstrap-based statistical inference for linear mixed effects under misspecifications," Computational Statistics & Data Analysis, Elsevier, vol. 199(C).
Corrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:plo:pone00:0294183. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: plosone (email available below). General contact details of provider: https://journals.plos.org/plosone/ .
Please note that corrections may take a couple of weeks to filter through the various RePEc services.