Access

You are not currently logged in.

Access your personal account or get JSTOR access through your library or other institution:

login

Log in to your personal account or through your institution.

If You Use a Screen Reader

This content is available through Read Online (Free) program, which relies on page scans. Since scans are not currently available to screen readers, please contact JSTOR User Support for access. We'll provide a PDF copy for your screen reader.

A Nonparametric Model for Multiple Recurrences

B. Cheuvart
Journal of the Royal Statistical Society. Series C (Applied Statistics)
Vol. 37, No. 2 (1988), pp. 157-168
Published by: Wiley for the Royal Statistical Society
DOI: 10.2307/2347335
Stable URL: http://www.jstor.org/stable/2347335
Page Count: 12
  • Read Online (Free)
  • Download ($29.00)
  • Subscribe ($19.50)
  • Cite this Item
Since scans are not currently available to screen readers, please contact JSTOR User Support for access. We'll provide a PDF copy for your screen reader.
A Nonparametric Model for Multiple Recurrences
Preview not available

Abstract

In this paper we present a new statistical model which permits the analysis of clinical trials where each patient is regularly examined for multiple recurrences of a disease. This model, based on logistic regression, allows the estimation of the probability of recurrence adjusted for various concomitant variables, including treatment and patient characteristics. In the absence of missing data, our model turns out to be of the generalised linear type, and the computations can be performed by means of standard programmes. The EM algorithm is adapted here to deal with missing observations. We derive the parameter covariance matrix as well as a χ2 goodness-of-fit measure. The method is illustrated using data from a clinical trial on the treatment of superficial (Ta, T1) bladder cancer by local chemotherapy.

Page Thumbnails

  • Thumbnail: Page 
[157]
    [157]
  • Thumbnail: Page 
158
    158
  • Thumbnail: Page 
159
    159
  • Thumbnail: Page 
160
    160
  • Thumbnail: Page 
161
    161
  • Thumbnail: Page 
162
    162
  • Thumbnail: Page 
163
    163
  • Thumbnail: Page 
164
    164
  • Thumbnail: Page 
165
    165
  • Thumbnail: Page 
166
    166
  • Thumbnail: Page 
167
    167
  • Thumbnail: Page 
168
    168