113
Views
0
CrossRef citations to date
0
Altmetric
Research Article

Flexible and robust procedure for subgroup inference

ORCID Icon, &
Pages 314-328 | Received 10 May 2021, Accepted 14 Sep 2022, Published online: 10 Oct 2022

References

  • Goldhrisch ASC, Collieoni M, Nasi ML, et al. Endocrine responsiveness and tailoring adjuvant therapy for postmenopausal lymph node-negative breast cancer: a randomized trial. J Natl Cancer Inst. 2002;94:1054–1065.
  • Cullen KJ, Schumaker L, Nikitakis N, et al. Beta-Tubulin-II expression strongly predicts outcome in patients receiving induction chemotherapy for locally advanced squamous carcinoma of the head and neck: a companion analysis of the TAX 324 trial. J Clin Oncol. 2009;27(36):622–628.
  • Ruberg SJ, Chen L, Wang Y. The mean doesn't mean as much any more: finding sub-groups for tailored therapeutics. Clinical Trials. 2010;7:574–583.
  • Shen J, He X. Inference for subgroup analysis with a structured logistic-normal mixture model. J Am Stat Assoc. 2015;110:303–312.
  • Ma S, Huang J. A concave pairwise fusion approach to subgroup analysis. J Am Stat Assoc. 2017;112:410–423.
  • Fan A, Song R, Lu W. Change-plane analysis for subgroup detection and sample size calculation. J Am Stat Assoc. 2017;112:769–778.
  • Egleston BL, Uzzo RG, Wong Y-N. Latent class survival models linked by principal stratification to investigate heterogeneous survival subgroups among individuals with early stage kidney. J Am Stat Assoc. 2017;112:534–546.
  • Yuan A, Chen X, Zhou Y, et al. Subgroup analysis with semiparametric models toward precision medicine. Stat Med. 2018;37:1830–1845.
  • Rubin D. Estimating causal effects of treatments in randomized and nonrandomized studies. J Educ Psycol. 1974;66(5):688–701.
  • Rosenbaum P, Rubin DB. The central role of the propensity score in observational studies for causal effects. Biometrika. 1983;70:41–55.
  • Holland PW. Statistics and causal inference. J Am Stat Assoc. 1986;81(396):945–960.
  • Pearl J, Glymour M, Jewell NP. Causal inference in statistics: a primer. Chichester: John Wiley & Sons; 2016.
  • Robins J, Rotnitzky A, Zhao L. Estimation of regression coefficients when some of the regressors are not always observed. J Am Stat Assoc. 1994;89:846–866.
  • Robins JM. Marginal structural models. Proceedings of the Section on Bayesian Statistical Science; Alexandria, VA: American Statistical Association; 1997. p. 1–10.
  • Lunceford JK, Davidian M. Stratification and weighting via the propensity score in estimation of causal treatment effects: a comparative study. Stat Med. 2004;23(19):2937–2960.
  • Bang H, Robins JM. Doubly robust estimation in missing data and causal inference models. Biometrics. 2005;61:962–973.
  • Breiman L. Stacked regression. Mach Learn. 1996;24: 49–64.
  • Opitz D, Maclin R. Popular ensemble methods: an empirical study. J Artif Intell Res. 1999;11:169–198.
  • Rani P, Muneeswaran K. Emotion recognition based on facial components. Sadhana. 2018;43(3):1–6.
  • Bonab H, Can F. Less is more: a comprehensive framework for the number of components of ensemble classifiers. 2019. TNNLS. USA: IEEE; Available from arXiv:1709.02925.
  • Yuan A, Yin A, Tan MT. Enhanced doubly robust procedure for causal inference. Stat Biosci. 2021; 13:454–478.
  • Horvitz DG, Thompson DJA. Generalization of sampling without replacement from a finite universe. J Am Stat Assoc. 1952;47:663–685.
  • Friedman JH, Tibshirani R. The monotone smoothing of scatterplots. Technometrics. 1984;26:243–250.
  • Hawkins DM. Fitting monotonic polynomials to data. Comput Stat Quarterly. 1994;9:233–247.
  • Mukherjee H. Monotone nonparametric regression. Ann Stat. 1988;16:741–750.
  • Ramsay J. Monotone regression splines in action. Stat Sci. 1988;3:425–441.
  • He X, Shi P. Monotone B-spline smoothing. J Am Stat Assoc. 1998;93:643–650.
  • Kelly C, Rice J. Monotone smoothing with application to dose-response curves and the assessment of synergism. Biometrics. 1990;46:1071–1085.
  • Mammen E. Estimating a smooth monotone regression function. Ann Stat. 1991;19:724–740.
  • Diggle P, Morris S, Morton-Jones T. Case-control isotonic regression for investigation of elevation in risk around a risk source. Stat Med. 1999;18:1605–1613.
  • Qin J, Garcia TP, Ma Y, et al. Combining isotonic regression and EM algorithm to predict risk under monotonicity constraint. Ann Appl Stat. 2014;8:1182–1208.
  • Qin J, Sun Y, Yuan A, et al. Maximum likelihood estimation for shape-restricted single-index hazard models. 2021. In revision to a journal.
  • Balabdaoui F, Groeneboom P, Hendrickx K. Score estimation in the monotone single index model. Scand J Stat. 2019;46:517–544.
  • Foster JC, Taylor JMC, Ruberg SJ. Subgroup identification from randomized clinical trial data. Stat Med. 2011;30:2867–2880.

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.