论文信息 - Sample sizes for estimation in clinical research

Sample sizes for estimation in clinical research

A sample size justification should be given for all clinical investigations. However, sometimes the objective of a trial is to estimate an effect with a view to planning a later definitive study. This paper describes the calculations for designing studies where one wishes to adopt an estimation approach through using confidence intervals around the overall response. Calculations are given for data anticipated to take a Normal form. Copyright © 2004 John Wiley & Sons, Ltd.

Steven A. Julious | Scott D. Patterson | S. Julious | S. Patterson

[1] Steven A. Julious,et al. Using confidence intervals around individual means to assess statistical significance between two means , 2004 .

[2] CLINICAL TRIAL NUMBERS AND CONFIDENCE INTERVALS OF PRE-SPECIFIED SIZE , 1988, The Lancet.

[3] S. Julious. Sample sizes for clinical trials with Normal data , 2004, Statistics in medicine.

[4] M. Gardner,et al. Confidence intervals rather than P values: estimation rather than hypothesis testing. , 1986, British medical journal.

[5] Michael J. Campbell,et al. Statistics at Square One , 1976, British medical journal.

[6] D. DeMets,et al. Biomarkers and surrogate endpoints: Preferred definitions and conceptual framework , 2001, Clinical pharmacology and therapeutics.

[7] David R. Bristol. Sample sizes for constructing confidence intervals and testing hypotheses , 1989 .

[8] L B Sheiner,et al. Learning versus confirming in clinical drug development , 1997, Clinical pharmacology and therapeutics.

[9] D G Altman,et al. Estimating sample sizes for binary, ordered categorical, and continuous outcomes in two group comparisons , 1995, BMJ.

[10] J Wood,et al. Sample Size Calculations for Trials in Health Services Research , 1999, Journal of health services research & policy.