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Advances in Urology
Volume 2012, Article ID 276501, 8 pages
Research Article

Novel Application of Statistical Methods to Identify New Urinary Incontinence Risk Factors

1Department of Mathematics and Statistics, Oakland University, 2200 N. Squirrel Road, Rochester, MI 48309, USA
2Department of Computer Science and Engineering, Oakland University, Rochester, MI 48309, USA
3Beaumont Health System, William Beaumont Hospital, Royal Oak, MI 48073, USA
4Oakland University William Beaumont School of Medicine, Rochester, MI 48309, USA

Received 19 July 2012; Revised 25 September 2012; Accepted 25 September 2012

Academic Editor: Miroslav L. Djordjevic

Copyright © 2012 Theophilus O. Ogunyemi et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Citations to this Article [4 citations]

The following is the list of published articles that have cited the current article.

  • Theophilus Ogunyemi, Suzan Arslanturk, Mohammad-Reza Siadat, Ananias C. Diokno, and Kim Killinger, “Bayesian prediction of incontinence among older women using an experimental design template,” ICISA 2014 - 2014 5th International Conference on Information Science and Applications, 2014. View at Publisher · View at Google Scholar
  • Ananias C. Diokno, Theophilus Ogunyemi, Mohammad-Reza Siadat, Suzan Arslanturk, and Kim A. Killinger, “Continence Index: a new screening questionnaire to predict the probability of future incontinence in older women in the community,” International Urology and Nephrology, 2015. View at Publisher · View at Google Scholar
  • Raveen Syan, and Victor W. Nitti, “Post-prostatectomy Incontinence Initial Evaluation,” Urinary Dysfunction in Prostate Cancer, pp. 15–30, 2015. View at Publisher · View at Google Scholar
  • Suneetha Rachaneni, Shanteela McCooty, Lee J Middleton, Victoria L Parker, Jane P Daniels, Arri Coomarasamy, Tina S Verghese, Moji Balogun, Ilias Goranitis, Pelham Barton, Tracy E Roberts, Jonathan J Deeks, and Pallavi Latthe, “Bladder ultrasonography for diagnosing detrusor overactivity: test accuracy study and economic evaluation,” Health Technology Assessment, vol. 20, no. 7, pp. 1–150, 2016. View at Publisher · View at Google Scholar