Peter H Van Ness PhD, MPH

Senior Research Scientist in Medicine (Geriatrics) and Lecturer in Epidemiology (Chronic Diseases) and in Medicine (Geriatrics); Co-Director, Biostatistics Core, Yale Program on Aging

Research Interests

Analysis of categorical and longitudinal data; Techniques for handling missing data; Qualitative data analysis; Measurement issues; Gerontologic biostatistics


Research Summary

Dr. Van Ness' research work addresses the statistical challenges arising in clinical research with older populations, e.g., evaluating instrument reliability, designing small sample studies, analyzing multicomponent interventions, and handling missing data. A special research interest involves formulating ways to integrate qualitative and quantitative data using mixed methods.

Extensive Research Description

Dr. Van Ness' research work addresses the statistical challenges arising in clinical research with older populations, e.g., evaluating instrument reliability, designing small sample studies, analyzing multicomponent interventions, and handling missing data. A special research interest involves formulating ways to integrate qualitative and quantitative data using mixed methods.


Selected Publications

  • Van Ness PH, Peduzzi PN, Quagliarello VJ. Efficacy and effectiveness as aspects of cluster randomized trials with nursing home residents: Methodological insights from a pneumonia prevention trial. Contemporary Clinical Trials 33:1124-1131, 2012.
  • Van Ness PH, Murphy TE, Araujo KL, Pisani MA. Multivariate graphical methods provide an insightful way to formulate explanatory hypotheses from limited categorical data. Journal of Clinical Epidemiology 2012;65:179-188.
  • Van Ness PH, Fried TR, Gill TM. Mixed methods for the interpretation of longitudinal gerontologic data: insights from philosophical hermeneutics. Journal of Mixed Methods Research. 2011;5:293-308.
  • Van Ness PH, Charpentier PA, Ip EH, Leng I, Murphy TE, Tooze JA, Allore HG. Gerontologic biostatistics: the statistical challenges of clinical research with older study participants. Journal of the American Geriatrics Society 2010;58:1386-1392.
  • Van Ness, PH, Allore, HG, Fried, TR, & Lin, H. Inverse intensity weighting in generalized linear models as an option for analyzing longitudinal data with triggered observations. American Journal of Epidemiology. 2010; 171:105-112.
  • Van Ness PH, Towle, Virginia R, O'Leary, John R, Fried, Terri, R. Religion, risk and medical decision making at the end of life. Journal of Aging and Health. 2008 20:545-59.
  • Van Ness PH, Towle VR, Juthani–Mehta M. Testing measurement reliability in older populations: Methods for informed discrimination in instrument selection and application. Journal of Aging and Health. 2008 20:183-97.
  • Van Ness PH, Murphy TE, Araujo KLB, Pisani MA, Allore HG. The use of missingness screens in clinical epidemiologic research has implications for regression modeling. Journal of Clinical Epidemiology 2007 60:1239-45.
  • Van Ness PH. Socioeconomic marginality and health services utilization among central Harlem substance users. Substance Use & Misuse 2004 39:61–86.
  • Van Ness, PH, & Kasl, SV. Religion and cognitive dysfunction in an elderly cohort. Journal of Gerontology: Social Sciences, 58B, S21-S29.

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