IDEAS home Printed from https://ideas.repec.org/a/jss/jstsof/v057i09.html
   My bibliography  Save this article

A SAS Package for Logistic Two-Phase Studies

Author

Listed:
  • Schill, Walter
  • Enders, Dirk
  • Drescher, Karsten

Abstract

Two-phase designs, in which for a large study a dichotomous outcome and partial or proxy information on risk factors is available, whereas precise or complete measurements on covariates have been obtained only in a stratified sub-sample, extend the standard case-control design and have been proven useful in practice. The application of two-phase designs, however, seems to be hampered by the lack of appropriate, easy-to-use software. This paper introduces sas-twophase-package, a collection of SAS-macros, to fulfill this task. sas-twophase-package implements weighted likelihood, pseudo likelihood and semi- parametric maximum likelihood estimation via the EM algorithm and via profile likelihood in two-phase settings with dichotomous outcome and a given stratification.

Suggested Citation

  • Schill, Walter & Enders, Dirk & Drescher, Karsten, 2014. "A SAS Package for Logistic Two-Phase Studies," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 57(i09).
  • Handle: RePEc:jss:jstsof:v:057:i09
    DOI: http://hdl.handle.net/10.18637/jss.v057.i09
    as

    Download full text from publisher

    File URL: https://www.jstatsoft.org/index.php/jss/article/view/v057i09/v57i09.pdf
    Download Restriction: no

    File URL: https://www.jstatsoft.org/index.php/jss/article/downloadSuppFile/v057i09/sas-twophase-package.zip
    Download Restriction: no

    File URL: https://www.jstatsoft.org/index.php/jss/article/downloadSuppFile/v057i09/v57i09.sas
    Download Restriction: no

    File URL: https://libkey.io/http://hdl.handle.net/10.18637/jss.v057.i09?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. N. E. Breslow & N. Chatterjee, 1999. "Design and analysis of two‐phase studies with binary outcome applied to Wilms tumour prognosis," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 48(4), pages 457-468.
    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. Lu Chen & Li Hsu & Kathleen Malone, 2009. "A Frailty-Model-Based Approach to Estimating the Age-Dependent Penetrance Function of Candidate Genes Using Population-Based Case-Control Study Designs: An Application to Data on the BRCA1 Gene," Biometrics, The International Biometric Society, vol. 65(4), pages 1105-1114, December.
    2. Benchimol, Jonathan & El-Shagi, Makram & Saadon, Yossi, 2022. "Do expert experience and characteristics affect inflation forecasts?," Journal of Economic Behavior & Organization, Elsevier, vol. 201(C), pages 205-226.
    3. Judith Clarke & Marsha Courchane, 2004. "Implications of Stratified Sampling for Fair Lending Binary Logit Models," The Journal of Real Estate Finance and Economics, Springer, vol. 30(1), pages 5-31, October.
    4. Brady Ryan & Ananthika Nirmalkanna & Candemir Cigsar & Yildiz E. Yilmaz, 2023. "Evaluation of Designs and Estimation Methods Under Response-Dependent Two-Phase Sampling for Genetic Association Studies," Statistics in Biosciences, Springer;International Chinese Statistical Association, vol. 15(2), pages 510-539, July.
    5. Jacob M. Maronge & Ran Tao & Jonathan S. Schildcrout & Paul J. Rathouz, 2023. "Generalized case‐control sampling under generalized linear models," Biometrics, The International Biometric Society, vol. 79(1), pages 332-343, March.
    6. Mukherjee, Bhramar & Liu, Ivy, 2009. "A note on bias due to fitting prospective multivariate generalized linear models to categorical outcomes ignoring retrospective sampling schemes," Journal of Multivariate Analysis, Elsevier, vol. 100(3), pages 459-472, March.
    7. Bryan E. Shepherd & Kyunghee Han & Tong Chen & Aihua Bian & Shannon Pugh & Stephany N. Duda & Thomas Lumley & William J. Heerman & Pamela A. Shaw, 2023. "Multiwave validation sampling for error‐prone electronic health records," Biometrics, The International Biometric Society, vol. 79(3), pages 2649-2663, September.
    8. Xiaofei Wang & Haibo Zhou, 2006. "A Semiparametric Empirical Likelihood Method for Biased Sampling Schemes with Auxiliary Covariates," Biometrics, The International Biometric Society, vol. 62(4), pages 1149-1160, December.
    9. Hoora Moradian & Denis Larocque & François Bellavance, 2017. "$$L_1$$ L 1 splitting rules in survival forests," Lifetime Data Analysis: An International Journal Devoted to Statistical Methods and Applications for Time-to-Event Data, Springer, vol. 23(4), pages 671-691, October.
    10. R. McNamee, 2004. "Two-Phase Sampling for Simultaneous Prevalence Estimation and Case Detection," Biometrics, The International Biometric Society, vol. 60(3), pages 783-792, September.
    11. Judith A. Giles & Marsha J. Courchane, 2000. "Stratified Sample Design for Fair Lending Binary Logit Models," Econometrics Working Papers 0007, Department of Economics, University of Victoria.
    12. Constantine E. Frangakis & Stuart G. Baker, 2001. "Compliance Subsampling Designs for Comparative Research: Estimation and Optimal Planning," Biometrics, The International Biometric Society, vol. 57(3), pages 899-908, September.
    13. Sebastien J.‐P. A. Haneuse & And Jonathan C. Wakefield, 2008. "The combination of ecological and case–control data," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 70(1), pages 73-93, February.
    14. Deng, Lifeng & Ding, Jieli & Liu, Yanyan & Wei, Chengdong, 2018. "Regression analysis for the proportional hazards model with parameter constraints under case-cohort design," Computational Statistics & Data Analysis, Elsevier, vol. 117(C), pages 194-206.
    15. Jason Dietrich, 2005. "The effects of sampling strategies on the small sample properties of the logit estimator," Journal of Applied Statistics, Taylor & Francis Journals, vol. 32(6), pages 543-554.
    16. Ruth M. Pfeiffer & Nilanjan Chatterjee, 2005. "On a Supplemented Case–Control Design," Biometrics, The International Biometric Society, vol. 61(2), pages 584-590, June.
    17. Takumi Saegusa, 2020. "Confidence bands for a distribution function with merged data from multiple sources," Statistics in Transition New Series, Polish Statistical Association, vol. 21(4), pages 144-158, August.
    18. Yuichi Hirose, 2011. "Efficiency of profile likelihood in semi-parametric models," Annals of the Institute of Statistical Mathematics, Springer;The Institute of Statistical Mathematics, vol. 63(6), pages 1247-1275, December.
    19. Grünewald Maria & Humphreys Keith & Hössjer Ola, 2010. "A Stochastic EM Type Algorithm for Parameter Estimation in Models with Continuous Outcomes, under Complex Ascertainment," The International Journal of Biostatistics, De Gruyter, vol. 6(1), pages 1-31, July.
    20. Wenguang Sun & Marshall M. Joffe & Jinbo Chen & Steven M. Brunelli, 2010. "Design and Analysis of Multiple Events Case–Control Studies," Biometrics, The International Biometric Society, vol. 66(4), pages 1220-1229, December.

    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:jss:jstsof:v:057:i09. 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: Christopher F. Baum (email available below). General contact details of provider: http://www.jstatsoft.org/ .

    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.