Bayesian predictions of final outcomes: Regulatory approval of a spinal implant

Clinical Trials

Volumn 2, Issue 4, 2005, Pages 325-333

  Lipscomb, Bailey ^a   Ma, Guorong ^a   Berry, Donald A ^b  

^a Medtronic Sofamor Danek   (United States)

^b UNIVERSITY OF TEXAS MD ANDERSON CANCER CENTER   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

BAYES THEOREM; BONE GRAFT; CLINICAL TRIAL; CONFERENCE PAPER; HUMAN; IMPLANT; MORBIDITY; PAIN; PREDICTION; PRIORITY JOURNAL; PROBABILITY; SCOLIOSIS; SPINE DISEASE; SPINE FRACTURE; SPINE FUSION; SPINE TUMOR; SPONDYLOLISTHESIS; STATISTICAL MODEL; TREATMENT OUTCOME;

BAYES THEOREM; DEVICE APPROVAL; EQUIPMENT DESIGN; HUMANS; PROSTHESES AND IMPLANTS; RANDOMIZED CONTROLLED TRIALS; SPINAL DISEASES; SPINAL FUSION; SPINE; TREATMENT OUTCOME;

EID: 24944500851     PISSN: 17407745     EISSN: 17407753     Source Type: Journal    
DOI: 10.1191/1740774505cn104oa     Document Type: Conference Paper

References (3)

1. Berry DA. Statistics: A Bayesian perspective. Belmont, CA: Wadsworth Publishing Company, 1996.
2. Spiegelhalter DJ, Abrams KR, Myles JP. Bayesian approaches to clinical trials and health care evaluations (statistics in practice). New York: John Wiley & Sons, 2004.
3. Little RJA, Rubin DB. Statistical analysis with missing data. New York: John Wiley, 1987.