J. Richard Landis, PhD
|Office Location||600, Blockley Hall|
|CCEB Appointment||Senior Scholar, Biostatistics|
|Primary Faculty Appointment||Professor of Biostatistics, University of Pennsylvania Perelman SOM|
Director, Biostatistics Unit/Biostatistics Division, CCEB/DBE
Professor of Statistics, Wharton School, University of Pennsylvania
Faculty Co-Director, Clinical Research Computing Unit, CCEB
J. Richard Landis is Professor of Biostatistics in the School of Medicine, and holds a secondary appointment as Professor of Statistics in the Wharton School. Dr. Landis serves as Director of the Biostatistics Unit within the Center for Clinical Epidemiology and Biostatistics (CCEB), and faculty Co-Director of the Clinical Research Computing Unit (CRCU), a designated core research facility providing clinical research informatics (CRI) collaboration and services for clinical and translational research investigators at Penn. Prior to assuming his current position at the University of Pennsylvania in 1997, Dr. Landis was Professor of Biostatistics at the University of Michigan School of Public Health, where he served on the faculty for thirteen years (1975-1988). In 1988, he founded the Center for Biostatistics and Epidemiology at the M.S. Hershey Medical Center of the Pennsylvania State University, and served as its Director for nine years before his relocation to Penn.
Dr. Landis is PI of the Data Coordinating Core (DCC) for NIDDK’s “Multidisciplinary Approach to Pelvic Pain (MAPP) Research Network” (2008-13), and Co-PI for NIDDK’s adult “Chronic Renal Insufficiency Cohort (CRIC) Research Network.” He also serves as Co-Director for the CTSA-funded “Center for Biomedical Informatics in Translation (BIIT)” (2006-11), promoting CRI best practices across the entire research spectrum of the Penn Medicine and CHOP enterprises, and Core Director for the Abramson Cancer Center’s Biomedical Data Coordination Core (BDCC).
For more than forty years, he has been actively involved in collaborative biomedical research, and the development and evaluation of methods for the analysis of categorical data. His methodological research interests are in the analysis of categorical data, particularly statistical methods for repeated measurement and longitudinal categorical data, clinical trials, epidemiological studies, complex sample surveys and applications to cardiovascular, ophthalmology, respiratory, psychiatric, renal and urological research. He served on the Epidemiology and Disease Control Study Section for NIH from 1984-88 and again for a second term from 1993-97, serving as Chair during 1996-97.
Dr. Landis’ honors include Fulbright Senior Scholar (University of Newcastle, Australia, 1981-82), Fellow of the American Statistical Association, elected member of the International Statistical Institute, recipient of the Mortimer Spiegelman Gold Medal Award (1984) and recipient of an Environmental Protection Agency Scientific and Technical Achievement Award (1987).
Landis, JR and Koch, GG. The Measurement of Observer Agreement for Categorical Data. Biometrics 1977; 33:159-174.
Kuritz, SJ and Landis, JR. Attributable risk estimation from matched case-control data. Biometrics 1988; 44:355-357.
Landis, JR and Flegal, KM. A generalized Mantel-Haenszel analysis of the regression of blood pressure on blood lead using NHANES II data. Environmental Health Perspectives 1988; 78:35-41.
Landis, JR, Miller, ME, Davis, CS and Koch, G.G. (1988). Some general methods for the analysis of categorical data in longitudinal studies. Statistics in Medicine 1988: 7:109-137.
Miller, ME and Landis, JR. Generalized variance component models for clustered categorical response variables. Biometrics 1991; 47:33-44.
Miller, ME, Davis, CS and Landis, JR. The analysis of longitudinal polytomous data: Generalized estimating equations and connections with weighted least squares. Biometrics 1993; 49: 1033-1044.
Heitjan, DF and Landis, JR. Assessing secular trends in blood pressure: A multiple-imputation approach. Journal of the American Statistical Association 1994; 89:750-759.
Landis, JR, Sharp, TJ, Kuritz, SJ and Koch, GG. Mantel-Haenszel Methods. In Encyclopedia of Biostatistics. Armitage, P., Colton, J.T., eds. Wiley & Sons, London 1998; 3:2378-2391.
Pulkstenis, E, Ten Have, TR, and Landis, JR. A mixed effects model for the analysis of ordinal longitudinal pain data subject to informative dropout. Stat Med 2001; 20:601-22.
Landis, JR, Kaplan, S, Swift, S, Versi, E. Efficacy of antimuscarinic therapy in overactive bladder patients with varying degrees of incontinence severity. J Urol 2004; 171:752-6.
Shults, J, Mazurick, C, Landis, JR. Analysis of repeated bouts of measurements in the framework of generalized estimating equations. Stat Med 2006; 25:4114-28.
Leiby, BE, Landis, JR, Propert, KJ, Tomaszewski, J.E., and the Interstitial Cystitis Data Base Study Group: Discovery of morphological subgroups that correlate with severity of symptoms in interstitial cystitis: A proposed biopsy classification system. J Urol 2007; 177:142-148.
Nickel, JC, Tripp, DA, Chuai, S, Litwin, M, McNaughton-Collins, M, Landis, JR, Alexander, RB, Schaeffer, AJ, O'Leary, MP, Pontari, MA, White, P, Nyberg, L, Kusek, JW, Mullins, C and the NIH-CPCRN Study Group: Psychosocial parameters impact quality of life in men diagnosed with chronic prostatitis/chronic pelvic pain syndrome (CP/CPPS). British J Urol Int 2007; 101:59-64.
Shoskes, DA, Berger, R, Elmi, A, Landis, JR, Propert, KJ, Zeitlin, S, and the Chronic Prostatitis Collaborative Research Network Study Group. Muscle tenderness in men with chronic prostatitis/chronic pelvic pain syndrome: The chronic prostatitis cohort study. J Urol 2008; 179:556-560. PMCID:PMC2664648.
Desireddi, NV, Campbell, PL, Stern, JA, Sobkoviak, R, Chuai, S, Shahrara, S, Thumbikat, P, Pope, RM, Landis, JR, Koch, AE, Schaeffer, AJ: Monocyte chemoattractant protein-1 (MCP) and macrophage inflammatory protein-1α (MIP) as possible biomarkers for the chronic pelvic pain syndrome. J Urol 2008; 179:1857-1862. PMCID:PCM2786778.
Nickel, JC, Krieger, JN, McNaughton-Collins, M, Anderson, RU, Pontari, M, Shoskes, DA, Litwin, MS, Alexander, RB, White, PC, Berger, R, Nadler, R, O'Leary, M, Long, LM, Zeitlin, S, Chuai, S, Landis, JR, Kusek, JW, Nyberg, LM, Schaeffer, AJ for the Chronic Prostatitis Collaborative Research Network. Alfuzosin and symptoms of chronic prostatitis -- chronic pelvic pain syndrome. NEJM 2008; 359:2663-2673. PMCID:PMC2815340.Landis JR, King TS, Choi JW, Chinchilli VM, and Koch GG. Measures of Agreement and Concordance With Clinical Research Applications. Statistics in Biopharmaceutical Research 2011; 3(2): 185–209.