Literature DB >> 11280845

Duration of accrual and follow-up for two-stage clinical trials.

L D Case1, T M Morgan.   

Abstract

Group sequential trials with time to event end points can be complicated to design. Not only are there unlimited choices for the number of events required at each stage, but for each of these choices, there are unlimited combinations of accrual and follow-up at each stage that provide the required events. Methods are presented for determining optimal combinations of accrual and follow-up for two-stage clinical trials with time to event end points. Optimization is based on minimizing the expected total study length as a function of the expected accrual duration or sample size while providing an appropriate overall size and power. Optimal values of expected accrual duration and minimum expected total study length are given assuming an exponential proportional hazards model comparing two treatment groups. The expected total study length can be substantially decreased by including a follow-up period during which accrual is suspended. Conditions that warrant an interim follow-up period are considered, and the gain in efficiency achieved by including an interim follow-up period is quantified. The gain in efficiency should be weighed against the practical difficulties in implementing such designs. An example is given to illustrate the use of these techniques in designing a clinical trial to compare two chemotherapy regimens for lung cancer. Practical considerations of including an interim follow-up period are discussed.

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Year:  2001        PMID: 11280845     DOI: 10.1023/a:1009621009283

Source DB:  PubMed          Journal:  Lifetime Data Anal        ISSN: 1380-7870            Impact factor:   1.588


  10 in total

1.  Study duration for clinical trials with survival response and early stopping rule.

Authors:  K Kim; A A Tsiatis
Journal:  Biometrics       Date:  1990-03       Impact factor: 2.571

2.  Optimal two-stage designs for phase II clinical trials.

Authors:  R Simon
Journal:  Control Clin Trials       Date:  1989-03

3.  Nonparametric estimation of duration of accrual and total study length for clinical trials.

Authors:  T M Morgan
Journal:  Biometrics       Date:  1987-12       Impact factor: 2.571

4.  Optimal restricted two-stage designs.

Authors:  L D Case; T M Morgan; C E Davis
Journal:  Control Clin Trials       Date:  1987-06

5.  Planning the size and duration of a clinical trial studying the time to some critical event.

Authors:  S L George; M M Desu
Journal:  J Chronic Dis       Date:  1974-02

6.  Two-stage plans for the testing of binomial parameters.

Authors:  C De With
Journal:  Control Clin Trials       Date:  1983-09

7.  Sample-size formula for the proportional-hazards regression model.

Authors:  D A Schoenfeld
Journal:  Biometrics       Date:  1983-06       Impact factor: 2.571

8.  Planning the duration of accrual and follow-up for clinical trials.

Authors:  T M Morgan
Journal:  J Chronic Dis       Date:  1985

9.  Planning the duration of a comparative clinical trial with loss to follow-up and a period of continued observation.

Authors:  L V Rubinstein; M H Gail; T J Santner
Journal:  J Chronic Dis       Date:  1981

10.  VP-16-213 in combination chemotherapy with chest irradiation for small-cell lung cancer: a randomized trial of the Piedmont Oncology Association.

Authors:  D V Jackson; P J Zekan; R D Caldwell; M L Slatkoff; R W Harding; L D Case; J O Hopkins; H B Muss; F Richards; D R White
Journal:  J Clin Oncol       Date:  1984-12       Impact factor: 44.544

  10 in total
  5 in total

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2.  Phase II clinical trials with time-to-event endpoints: optimal two-stage designs with one-sample log-rank test.

Authors:  Minjung Kwak; Sin-Ho Jung
Journal:  Stat Med       Date:  2013-12-13       Impact factor: 2.373

3.  Sample size calculation for the proportional hazards cure model.

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4.  A two-stage phase II clinical trial design with nested criteria for early stopping and efficacy.

Authors:  Michelle DeVeaux; Michael Kane; Wei Wei; Daniel Zelterman
Journal:  Pharm Stat       Date:  2019-09-10       Impact factor: 1.894

5.  Design of Phase II cancer trials evaluating survival probabilities.

Authors:  L Douglas Case; Timothy M Morgan
Journal:  BMC Med Res Methodol       Date:  2003-04-03       Impact factor: 4.615

  5 in total

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