Competing designs for phase I clinical trials: a review

Phase I clinical trials are typically small, uncontrolled studies designed to determine a maximum tolerated dose of a drug which will be used in further testing. Two divergent schools have developed in designing phase I clinical trials. The first defines the maximum tolerated dose as a statistic computed from data, and hence it is identified, rather than estimated. The second defines the maximum tolerated dose as a parameter of a monotonic dose-response curve, and hence is estimated. We review techniques from both philosophies. The goal is to present these methods in a single package, to compare them from philosophical and statistical grounds, to hopefully clear up some common misconceptions, and to make a few recommendations. This paper is not a review of simulation studies of these designs, nor does it present any new simulations comparing these designs.

[1]  Nancy Flournoy,et al.  UP-AND-DOWN DESIGNS II: EXACT TREATMENT MOMENTS , 1995 .

[2]  M. Ratain,et al.  Perceptions of cancer patients and their physicians involved in phase I trials. , 1995, Journal of clinical oncology : official journal of the American Society of Clinical Oncology.

[3]  J B Greenhouse,et al.  Bayesian methods for phase I clinical trials. , 1992, Statistics in medicine.

[4]  S Chevret,et al.  The continual reassessment method in cancer phase I clinical trials: a simulation study. , 1993, Statistics in medicine.

[5]  S. Durham,et al.  A random walk rule for phase I clinical trials. , 1997, Biometrics.

[6]  John O'Quigley,et al.  Consistency of continual reassessment method under model misspecification , 1996 .

[7]  S. Zacks,et al.  Sequential Search of an Optimal Dosage, I , 1973 .

[8]  S. Piantadosi,et al.  Practical implementation of a modified continual reassessment method for dose-finding trials , 1998, Cancer Chemotherapy and Pharmacology.

[9]  E. Gehan,et al.  The determinatio of the number of patients required in a preliminary and a follow-up trial of a new chemotherapeutic agent. , 1961, Journal of chronic diseases.

[10]  D. Faries,et al.  Practical modifications of the continual reassessment method for phase I cancer clinical trials. , 1994, Journal of biopharmaceutical statistics.

[11]  David J. Spiegelhalter,et al.  Bayesian Approaches to Randomized Trials , 1994, Bayesian Biostatistics.

[12]  Jeffrey R. Eisele,et al.  A Curve‐Free Method for Phase I Clinical Trials , 2000, Biometrics.

[13]  Nancy Flournoy,et al.  Random Walks for Quantile Estimation , 1994 .

[14]  William F. Rosenberger,et al.  Asymptotic normality of maximum likelihood estimators from multiparameter response-driven designs , 1997 .

[15]  C. Palmer,et al.  Ethics and Practice , 1999 .

[16]  Y K Cheung,et al.  Sequential Designs for Phase I Clinical Trials with Late‐Onset Toxicities , 2000, Biometrics.

[17]  N L Geller,et al.  Design of phase I and II clinical trials in cancer: a statistician's view. , 1984, Cancer investigation.

[18]  W F Rosenberger,et al.  Ethics and practice: alternative designs for phase III randomized clinical trials. , 1997, Controlled clinical trials.

[19]  Ethan Reiner,et al.  A stopping rule for the continual reassessment method , 1998 .

[20]  B E Storer,et al.  Design and analysis of phase I clinical trials. , 1989, Biometrics.

[21]  R. Tsutakawa Selection of Dose Levels for Estimating a Percentage Point of a Logistic Quantal Response Curve , 1980 .

[22]  Shelemyahu Zacks,et al.  Optimal Bayesian-feasible dose escalation for cancer phase I trials , 1998 .

[23]  J O'Quigley,et al.  Two-sample continual reassessment method. , 1999, Journal of biopharmaceutical statistics.

[24]  S. Chevret,et al.  Methods for dose finding studies in cancer clinical trials: a review and results of a Monte Carlo study. , 1991, Statistics in medicine.

[25]  B E Storer,et al.  Small-sample confidence sets for the MTD in a phase I clinical trial. , 1993, Biometrics.

[26]  Robert K. Tsutakawa,et al.  Design of Experiment for Bioassay , 1972 .

[27]  J. Whitehead,et al.  Bayesian decision procedures with application to dose-finding studies , 1997 .

[28]  J O'Quigley,et al.  Continual reassessment method: a practical design for phase 1 clinical trials in cancer. , 1990, Biometrics.

[29]  William F. Rosenberger,et al.  New directions in adaptive designs , 1996 .

[30]  Nancy Flournoy,et al.  A Clinical Experiment in Bone Marrow Transplantation: Estimating a Percentage Point of a Quantal Response Curve , 1993 .

[31]  William F. Rosenberger,et al.  Toxicity in sequential dose-response experiments , 1995 .

[32]  S. Møller,et al.  An extension of the continual reassessment methods using a preliminary up-and-down design in a dose finding study in cancer patients, in order to investigate a greater range of doses. , 1995, Statistics in medicine.

[33]  S Zacks,et al.  Cancer phase I clinical trials: efficient dose escalation with overdose control. , 1998, Statistics in medicine.

[34]  Douglas G. Simpson,et al.  Recursive nonparametric testing for dose-response relaflonships subject to downturns at high doses , 1986 .

[35]  R Simon,et al.  Accelerated titration designs for phase I clinical trials in oncology. , 1997, Journal of the National Cancer Institute.

[36]  Nancy Flournoy,et al.  Dose Finding Using the Biased Coin Up‐and‐Down Design and Isotonic Regression , 2002, Biometrics.

[37]  S. Goodman,et al.  Some practical improvements in the continual reassessment method for phase I studies. , 1995, Statistics in medicine.

[38]  Alessandra Giovagnoli,et al.  Properties of frequency distributions induced by general ‘up-and-down’ methods for estimating quantiles , 1998 .

[39]  J O'Quigley,et al.  Another look at two phase I clinical trial designs. , 1999, Statistics in medicine.

[40]  S. Ruberg,et al.  Dose response studies. I. Some design considerations. , 1995, Journal of biopharmaceutical statistics.

[41]  S. Piantadosi,et al.  Improved designs for dose escalation studies using pharmacokinetic measurements. , 1996, Statistics in medicine.

[42]  Quentin F. Stout,et al.  Flexible Algorithms for Creating and Analyzing Adaptive Sampling Procedures , 1998 .

[43]  Ethan Reiner,et al.  Operating characteristics of the standard phase I clinical trial design , 1999 .

[44]  J Whitehead,et al.  Bayesian decision procedures based on logistic regression models for dose-finding studies. , 1998, Journal of biopharmaceutical statistics.

[45]  L V Rubinstein,et al.  A comparison of two phase I trial designs. , 1994, Statistics in medicine.

[46]  A. Watson,et al.  Quest: A Bayesian adaptive psychometric method , 1983, Perception & psychophysics.

[47]  R. Tsutakawa,et al.  Bayesian design for dose-response curves with penalized risk. , 1997, Biometrics.

[48]  J O'Quigley,et al.  Continual reassessment method: a likelihood approach. , 1996, Biometrics.

[49]  J Whitehead,et al.  Bayesian decision procedures for dose determining experiments. , 1995, Statistics in medicine.