Statistical Issues in the Design and Analysis of Ulcer Healing and Recurrence Studies

Gary G. Koch, Ingrid A. Amara, John Forster, David McSorley, Karl E. Peace

Research output: Contribution to journalArticlepeer-review

10 Scopus citations

Abstract

Statistical considerations are discussed for a randomized parallel groups study to compare treatments for the healing of ulcers during a specified time period of dosing and for the avoidance of subsequent ulcer recurrence (in patients with healing) during a follow-up period with no medication. For this study, randomization enables valid comparisons of treatments for the rates of healing during the dosing period and for the cumulative rates of being ulcer-free (ie, healing and no recurrence subsequent to healing) during the combined dosing and follow-up periods. Appropriate methods of analysis include Mantel-Haenszel tests and logistic regression for dichotomous outcomes and their life table counterparts for time to event outcomes. For recurrence rates among patients with healing, the basis for comparisons among treatments is unclear because of potential lack of similarity of treatment groups for risk factors for recurrence at the beginning of the follow-up period. This difficulty can be addressed by interpreting recurrence rates within treatment groups as descriptive for corresponding populations with healing. Moreover, such descriptions can involve statistical models which account for the effects of risk factors. Consideration is additionally given to sample size determination and other aspects of the design for a healing and recurrence study.
Original languageAmerican English
Pages (from-to)805-824
Number of pages20
JournalTherapeutic Innovation and Regulatory Science
Volume27
Issue number3
DOIs
StatePublished - Jul 1 1993

Keywords

  • Analysis
  • Design
  • Healing
  • Recurrence studies
  • Statistical issues
  • Ulcer
  • Cumulative ulcer-free rates
  • Life table estimates
  • Logistic regression
  • Mantel-Haenszel test
  • Sustained ulcer-free status
  • Ulcer healing and recurrence study

DC Disciplines

  • Public Health
  • Biostatistics

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