Staff Bios

Susan M. Paddock

Senior Statistician, Head RAND Statistics Group

Santa Monica Office

Education

Ph.D. Statistics, Duke University, 1999

Fields

Statistics, Bayesian methods, missing data, hierarchical models, Bayesian nonparametrics.

Policy Areas

Drug policy, health care policy, Medicare, mental health, patient safety, Substance abuse treatment.

Recent Projects

Bayesian Pattern-Mixture Models for Quality of Care Data
Evaluation of Services for Seriously Mentally Ill Patients in the Veterans Health Administration
Group Cognitive Behavioral Therapy for Depression in Clients with Alcohol and Other Drug Use Disorders
Designing, Implementing and Monitoring a Prospective Payment System for the Medicare Inpatient Rehabilitation Facilities
Hierarchical Modeling in Health Services Research
Quality of Care in the Therapeutic Community

Selected Publications

Bayesian variable selection for longitudinal substance abuse treatment data subject to informative censoring — 2007

Journal of the Royal Statistical Society, Series C (Applied Statistics), 56, 293-311
Paddock SM

Measuring Changes in Client-Level Treatment Process in the Therapeutic Community with the Dimensions of Change Instrument — 2007

American Journal of Drug and Alcohol Abuse, 33(4) 537-546.
Paddock SM, Edelen MO, Wenzel SL, Ebener P, Mandell W, Dahl J

Rates and Types of Events Reported to Established Incident Reporting Systems in Two U.S. Hospitals — 2007

Quality and Safety in Health Care, 16, 164-168
Nuckols TK, Bell D, Liu H, Paddock SM, Hillbourne LH

Treatment Process in the Therapeutic Community: Associations with Retention and Outcomes among Adolescent Residential Clients — 2007

Journal of Substance Abuse Treatment, 32, 415-421
Edelen MO, Tucker JS, Wenzel SL, Paddock SM, Dahl J

Did the Medicare Inpatient Rehabilitation Facility Prospective Payment System Result in Changes in Relative Patient Severity and Relative Resource Use? — 2007

Medical Care, 45(2), 123-130
Paddock SM, Escarce JJ, Hayden O, Buntin MB

Loss Function Based Ranking in Two-Stage, Hierarchical Models — 2006

Bayesian Analysis, 1(4), 915-946
Lin R, Louis TA, Paddock SM, Ridgeway G

Flexible Distributions for Triple-Goal Estimates in Two-Stage Hierarchical Models — 2006

Computational Statistics and Data Analysis, 50(11), 3243-3262
Paddock SM, Ridgeway G, Lin R, Louis, TA

Improving Care for Depression in Patients with Comorbid Substance Misuse — 2006

American Journal of Psychiatry, 163, 125-132
Watkins KE, Paddock SM, Zhang L, Wells K

Identification of and Guidance for Problem Drinking by General Medical Providers: Results from a National Survey - 2005

Medical Care, 43(3), 229-236
D'Amico, E.J., Paddock, S.M., Burnam, A., and Kung, F-Y.

How Much is Post-Acute Care Use Affected by its Availability? - 2005

Health Services Research, 40(2), 413-434
Beeuwkes Buntin M., Datar Garten A., Paddock S.M., Saliba D., Totten M., Escarce J.J.

Identifying and Accommodating Statistical Outliers When Setting Prospective Payment Rates for Inpatient Rehabilitation Facilities - 2004

Health Services Research, 39(6), 1859-1880
Paddock, S.M., Wynn, B.O., Carter, G.M., and Beeuwkes Buntin, M.

Abuse in the Close Relationships of People with HIV - 2004

Aids & Behavior, 8(4), 441-451
Galvan, F.H., Collins, R., Burnam, M.A., Kanouse, D.E., Paddock, S.M., Beckman, R., Mitchell, S.

Randomized Polya Tree Models for Nonparametric Bayesian Inference - 2004

Statistica Sinica, 13(2), 443-460
Paddock, S.M., Ruggeri, F., Lavine, M., and West, M.

Reassessing the Marijuana Gateway Effect (with Discussion) - 2002

Addiction, 97, 1493-1503
Morral, A.R., McCaffrey, D.F., Paddock, S.M.

Bayesian Nonparametric Multiple Imputation of Partially Observed Data with Ignorable Nonresponse - 2002

Biometrika, Vol. 89 (3), 529-538
Paddock, S.M.