John A. Kairalla, Ph.D.
Affiliations: | 2007 | Biostatistics | University of North Carolina, Chapel Hill, Chapel Hill, NC |
Area:
Biostatistics BiologyGoogle:
"John Kairalla"Parents
Sign in to add mentor| Keith E. Muller | grad student | 2007 | UNC Chapel Hill | |
| (An internal pilot study with interim analysis for Gaussian linear models.) | ||||
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| Baran JN, Noll RB, Jacola LM, et al. (2016) General Adaptive Functioning in Survivors of Childhood Acute Lymphoblastic Leukemia Blood. 128: 4770-4770 |
| Kairalla JA, Coffey CS, Thomann MA, et al. (2015) Adaptive designs for comparative effectiveness research trials. Clinical Research and Regulatory Affairs. 32: 36-44 |
| Kairalla JA, Coffey CS, Thomann MA, et al. (2015) Adaptive designs for comparative effectiveness research trials Clinical Research and Regulatory Affairs. 32: 36-44 |
| Kairalla JA, Coffey CS, Thomann MA, et al. (2012) Adaptive trial designs: a review of barriers and opportunities. Trials. 13: 145 |
| Kairalla JA, Muller KE, Coffey CS. (2010) Combining an Internal Pilot with an Interim Analysis for Single Degree of Freedom Tests. Communications in Statistics: Theory and Methods. 39: 3717-3738 |
| Kairalla JA, Coffey CS, Muller KE. (2008) GLUMIP 2.0: SAS/IML Software for Planning Internal Pilots. Journal of Statistical Software. 28 |
| Coffey CS, Kairalla JA. (2008) Adaptive clinical trials: progress and challenges. Drugs in R&D. 9: 229-42 |
| Kairalla JA, Coffey CS, Muller KE. (2008) GLUMIP 2.0: SAS/IML software for planning internal pilots Journal of Statistical Software. 28: 1-32 |
| Coffey CS, Kairalla JA, Muller KE. (2007) Practical Methods for Bounding Type I Error Rate with an Internal Pilot Design. Communications in Statistics: Theory and Methods. 36 |