Testing for baseline balance in clinical trials

Statistics in Medicine

Volumn 13, Issue 17, 1994, Pages 1715-1726

  Senn, Stephen ^a  

^a CIBA GEIGY LTD   (Switzerland)

Author keywords

[No Author keywords available]

Indexed keywords

ARTICLE; CLINICAL TRIAL; COVARIANCE; PHILOSOPHY; PROBABILITY; PROGNOSIS; RANDOMIZATION; STATISTICAL ANALYSIS; STATISTICAL CONCEPTS;

ALGORITHMS; ANALYSIS OF VARIANCE; DATA INTERPRETATION, STATISTICAL; HUMAN; MULTIVARIATE ANALYSIS; RANDOMIZED CONTROLLED TRIALS; RESEARCH DESIGN; SAMPLE SIZE; SELECTION BIAS; TREATMENT OUTCOME;

EID: 0028101076     PISSN: 02776715     EISSN: 10970258     Source Type: Journal    
DOI: 10.1002/sim.4780131703     Document Type: Article

References (37)

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2. Baseline comparisons in randomised clinical trials
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7. Should data be collected on a dependent variable late in a clinical trial if not measured at baseline?
8. Baseline comparability in clinical trials: prevention of “post study anxiety”
9. Testing for imbalance of covariates in controlled experiments
10. Covariate adjustment of treatment effects in clinical trials
11. Covariate imbalance and conditional size: dependence on model‐based adjustments
12. Directional baseline differences and type I error probabilities in randomized clinical trials
13. Letter to the editor: baseline distribution and conditional size
14. Author's reply. Letter to the editor: the use of inadequate corrections for baseline imbalance remains a serious problem
15. Statistical aspects of the detection of fraud
16. Does simple random sampling provide adequate balance?
17. Regression models and life tables
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19. A quantitative study of the bias in estimating the treatment effect caused by omitting a balanced covariate in survival models
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21. The principle of total evidence
22. Statistical methods for the identification and use of prognostic factors
23. Some aspects of covariance
24. The choice between analysis of variance and analysis of covariance with special reference to the analysis of organ weights in toxicology studies
25. Tightening the clinical trial
26. Methods for assessing difference between groups in change when initial measurement is subject to intra‐individual variation
27. Assignment of treatment on the basis of a covariate
28. Repeated measures in clinical trials: analysis using mean summary statistics and its implications for design
29. Letter to the editor: Covariance analysis in generalized linear measurement error models