IDEAS home Printed from https://ideas.repec.org/a/bla/biomet/v60y2004i3p829-833.html

Some Unexamined Aspects of Analysis of Covariance in Pretest–Posttest Studies

Author

Listed:
  • Jitendra Ganju

Abstract

No abstract is available for this item.

Suggested Citation

  • Jitendra Ganju, 2004. "Some Unexamined Aspects of Analysis of Covariance in Pretest–Posttest Studies," Biometrics, The International Biometric Society, vol. 60(3), pages 829-833, September.
    • Handle: RePEc:bla:biomet:v:60:y:2004:i:3:p:829-833
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1111/j.0006-341X.2004.00235.x
    Download Restriction: Access to full text is restricted to subscribers.
    ---><---

    As the access to this document is restricted, you may want to

    for a different version of it.

    References listed on IDEAS

    as
    1. Donald B. Rubin, 1977. "Assignment to Treatment Group on the Basis of a Covariate," Journal of Educational and Behavioral Statistics, , vol. 2(1), pages 1-26, March.
    2. Yang L. & Tsiatis A. A., 2001. "Efficiency Study of Estimators for a Treatment Effect in a Pretest-Posttest Trial," The American Statistician, American Statistical Association, vol. 55, pages 314-321, November.
    Full references (including those not matched with items on IDEAS)

    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.
    1. Rosemarie Bégin & Lota D. Tamini & Maurice Doyon, 2014. "L'effet du travail hors-ferme sur l'efficacité technique des fermes laitières québécoises: un modèle intégrant les biais de sélection sur les observables et inobservables," Cahiers de recherche CREATE 2014-9, CREATE.
    2. Jochen Kluve & Hartmut Lehmann & Christoph M. Schmidt, 2000. "Disentangling Treatment Effects of Polish Active Labour Market Policies: Evidence from Matched Samples," CERT Discussion Papers 0007, Centre for Economic Reform and Transformation, Heriot Watt University.
    3. Dean Follmann, 2006. "Augmented Designs to Assess Immune Response in Vaccine Trials," Biometrics, The International Biometric Society, vol. 62(4), pages 1161-1169, December.
    4. Alejo, Javier & Galvao, Antonio F. & Montes-Rojas, Gabriel, 2018. "Quantile continuous treatment effects," Econometrics and Statistics, Elsevier, vol. 8(C), pages 13-36.
    5. Löschel, Andreas & Lutz, Benjamin Johannes & Managi, Shunsuke, 2019. "The impacts of the EU ETS on efficiency and economic performance – An empirical analyses for German manufacturing firms," Resource and Energy Economics, Elsevier, vol. 56(C), pages 71-95.
    6. Constantine E. Frangakis & Donald B. Rubin, 2002. "Principal Stratification in Causal Inference," Biometrics, The International Biometric Society, vol. 58(1), pages 21-29, March.
    7. Son Thierry Ly & Arnaud Riegert, 2014. "Persistent Classmates: How Familiarity with Peers Protects from Disruptive School Transitions," PSE Working Papers halshs-00842265, HAL.
    8. Tobias Schmidt & Julia Le Blanc, 2017. "Do homeowners save more? – Evidence from the Panel on Household Finances (PHF)," ERES eres2017_110, European Real Estate Society (ERES).
    9. Karnani, Mohit, 2016. "Freshmen teachers and college major choice: Evidence from a random assignment in Chile," MPRA Paper 76062, University Library of Munich, Germany.
    10. J. R. Lockwood & Daniel F. McCaffrey, 2019. "Impact Evaluation Using Analysis of Covariance With Error-Prone Covariates That Violate Surrogacy," Evaluation Review, , vol. 43(6), pages 335-369, December.
    11. Peter Z. Schochet, 2013. "Estimators for Clustered Education RCTs Using the Neyman Model for Causal Inference," Journal of Educational and Behavioral Statistics, , vol. 38(3), pages 219-238, June.
    12. Joachim N. Binam & Frank Place & Arinloye A. Djalal & Antoine Kalinganire, 2017. "Effects of local institutions on the adoption of agroforestry innovations: evidence of farmer managed natural regeneration and its implications for rural livelihoods in the Sahel," Agricultural and Food Economics, Springer;Italian Society of Agricultural Economics (SIDEA), vol. 5(1), pages 1-28, December.
    13. Undral Byambadalai & Tatsushi Oka & Shota Yasui, 2024. "Estimating Distributional Treatment Effects in Randomized Experiments: Machine Learning for Variance Reduction," Papers 2407.16037, arXiv.org.
    14. Marc FERRACCI & Grégory JOLIVET & Gerard J van den Berg, 2009. "Treatment Evaluation in the Case of Interaction Within Markets," Working Papers 2009-22, Center for Research in Economics and Statistics.
    15. Roland G. Fryer & Michael Greenstone, 2007. "The Causes and Consequences of Attending Historically Black Colleges and Universities," NBER Working Papers 13036, National Bureau of Economic Research, Inc.
    16. repec:mpr:mprres:6372 is not listed on IDEAS
    17. Jason Gush & Adam Jaffe & Victoria Larsen & Athene Laws, 2018. "The effect of public funding on research output: the New Zealand Marsden Fund," New Zealand Economic Papers, Taylor & Francis Journals, vol. 52(2), pages 227-248, May.
    18. Amanda Kowalski, 2019. "A model of a randomized experiment with an application to the PROWESS clinical trial," CeMMAP working papers CWP11/19, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    19. Pierre Chausse & George Luta, 2017. "Casual Inference using Generalized Empirical Likelihood Methods," Working Papers 1707, University of Waterloo, Department of Economics, revised Dec 2017.
    20. Amanda E. Kowalski, 2018. "Extrapolation using Selection and Moral Hazard Heterogeneity from within the Oregon Health Insurance Experiment," Cowles Foundation Discussion Papers 2135, Cowles Foundation for Research in Economics, Yale University.
    21. Ron Zimmer & Brian Gill & Jonathon Attridge & Kaitlin Obenauf, 2014. "Charter School Authorizers and Student Achievement," Education Finance and Policy, MIT Press, vol. 9(1), pages 59-85, January.

    More about this item

    Statistics

    Access and download statistics

    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:bla:biomet:v:60:y:2004:i:3:p:829-833. 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: Wiley Content Delivery (email available below). General contact details of provider: http://www.blackwellpublishing.com/journal.asp?ref=0006-341X .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.