Sunday, August 22, 2010

Lyle D. Broemeling

Lyle D. Broemeling, Ph.D.
Director

Broemeling and Associates Inc.

1023 Fox Ridge Road

Medical Lake, WA 99022

509-299-4030

broemeli2@aol.com

Experience

Dr. Broemeling has over twenty years of experience as a consulting statistician and was a Professor of Biostatistics at the University of Texas Medical Branch in Galveston, the University of Texas School of Public Health in Houston, and the University of Texas MD Anderson Cancer Center. He developed an expertise in methods to assess medical test accuracy and in clinical trial design for Phase I and II trials.

Education


Ph.D. in Statistics, Texas A&M University

College Station, TX


Areas of Interest

Dr. Broemeling has been active in developing Bayesian statistical methods for linear models, times series, change-point models, and spatial and longitudinal models. Recently he has been developing Bayesian methods to assess medical test accuracy. His present activity is biostatistical consulting and writing text books. His most recent books are Bayesian Biostatistics and Diagnostic Medicine and Bayesian Methods for Measures of Agreement. His forthcoming book Advanced Bayesian Methods for Medical Test Accuracy will be published in Spring 2011.


Recent Publications


Collaborative Articles


1. Gupta S, Kobayashi S, Phongkitkarun, S, Broemeling LD, and Kun S. Effect of trans catheter hepatic arterial embolization on angiogenesis in an animal model. Investigative Radiology 2006; 41(6):516-521. ,

2. Gayed IW, Liu HH, Yusuf SW, Komaki R, Wei X, Wang X, Chang JY, Swafford J, B Broemeling LD, Liao Z. The prevalence of myocardial ischemia after concurrent chemoradiation therapy as detected by gated myocardial perfusion imaging in patients with esophageal cancer. J. Nuclear Medicine 2006; 47(11);1756-1762.

3. Gong J., Yang D.,Kohanim S., Humphries R., Broemeling L., and Kurzrock R. Novel in vivo imaging shows up-regulation of death receptors by paclitaxel and correlates with enhanced antitumor effects of receptor agonist antibodies. Mol. Cancer Ther. 2006;5(12):2991-3000.

4. Chang K, Sarkiss M, Won KS, Swafford J, Broemeling, LD, Gayed I. Preoperative risk stratification using gated myocardial perfusion studies in patients with cancer. J. Nuclear Medicine 2007; 48(3):344-348.

5. Sampat, MP, Whitman JG, Stephens TW, Broemeling LD, Heger NA, Bovik AC, Markey MK. The reliability of measuring physical characteristics of spiculated masses on mammography. Br J. Radiology 2006 Dec; 79 Spec No.2; S134-140.


Biostatistical Articles


1. Broemeling,L.D. “A Bayesian analysis of inter-rater agreement,” Communications in Statistics, Simulation and Computation 30: 437-446,2001.

2. Broemeling, L.D. and Broemeling, A.L. “ Studies in the history of probability of statistics: The Bayesian Contributions of Edmond Lhoste,” Biometrika, 90(3):728-731, 2003.

3. Wu D, Rosner GL, and Broemeling LD “MLE and Bayesian inference of age-dependent sensitivity and transition probability in periodic screening,” Biometrics 61: 1056-1063, 2005.

4. Wu D, Rosner GL, and Broemeling LD.(2006). “Bayesian inference for the lead time in periodic screening.”, Biometrics 63(3): 873-880, 2007.

5. Broemeling LD. “ Detection and localization in test accuracy: A Bayesian perspective,” Communication in Statistics, Theory and Methods , Vol. 36 (8) 2007.


Books


Broemeling, L.D. Bayesian Methods for Measures of Agreement, Chapman & Hall/CRC/ Taylor and Francis, Boca Raton, FL., 2009.

Broemeling, L.D. Bayesian Biostatistics and Diagnostic Medicine, Chapman & Hall/CRC /Taylor and Francis, Boca Raton, FL. 2007.

Broemeling, LD. and Tsurumi, H., Econometrics and Structural Change, Marcel-Dekker Inc., New York, 1986.

Broemeling, L.D. Bayesian Analysis of Linear Models, Marcel–Dekker, New York, 1984.

Saturday, August 14, 2010

Introduction

This blog is designed to accompany  Advanced Bayesian Methods for Medical Test Accuracy. It  consists of the WinBUGS code to implement the various Bayesian analyses of the book.

There is a separate post for each chapter, and the code is identified the same way as in the book.  The user can copy and paste the relevant code to their WinBUGS worksheet and execute the analysis, and the output of the analysis can be compared to that in the book.