This proposal has two goals: 1) to develop Dr. Shardell, a biostatistician, into an independent investigator performing research at the interface of biostatistics and gerontology;and 2) to develop statistical methods needed to more appropriately use data from proxy respondents (e.g., relatives or care givers) in epidemiological studies of elderly hip-fracture patients. Regarding the latter goal, a significant problem in epidemiologic studies of hip fracture patients is selection bias due to the large amount of data missing from the most frail and cognitively impaired patients, which may lead to biased results and inaccurate study conclusions. Currently, in order to minimize selection bias due to missing data, proxies are recruited to supply responses in place of patients who are unable or unwilling to respond to interview questions. However, responses from proxies may be systematically biased. This bias is a significant problem because it implies that the standard statistical approach of imputing missing patient data with responses from proxies can lead to inaccurate study conclusions. Therefore, bias from these proxies can impede investigators'ability to accurately identify promising targets of intervention that may improve patients'post-fracture prognosis. To solve this problem, statistical methods originally designed to adjust for selection bias from missing data will be extended to include proxy data. Availability of statistical methods that can correct for proxy bias can help in designing accurately-targeted interventions for postfracture recovery. Computer programs for the methods will be made available online for use by the gerontology community. The new approaches will be validated and compared as part of a future R01 proposal. The three-year mentored research program described in this proposal involves a career development plan that includes coursework in the biology, sociology, and psychosocial aspects of aging;regular meetings with mentors;participation at seminars, workshops, and professional conferences;and exposure to clinical geriatrics settings by shadowing clinician-researchers. Trained investigators with expertise in both biostatistics and gerontology are urgently needed to solve problems in study design, outcome measurement, and statistics that are relevant to aging research.
Accurately identifying behaviors and other targets of intervention that can improve physical and emotional functioning and protect against age-related diseases is the primary goal of gerontological research. Effective policy for care of older adults requires the ability to determine factors that can improve prognosis. Current statistical methods used to inform these decisions rely on imputing missing patient data with proxy data, methods which are known to lead to biased results. Improved statistical methods will allow correction for proxy bias to improve the accuracy of results, leading to more accurate conclusions regarding the effectiveness of interventions on health outcomes.
|Shardell, Michelle; Hicks, Gregory E; Ferrucci, Luigi (2015) Doubly robust estimation and causal inference in longitudinal studies with dropout and truncation by death. Biostatistics 16:155-68|
|Morgan, Daniel J; Pineles, Lisa; Shardell, Michelle et al. (2015) Effect of chlorhexidine bathing and other infection control practices on the Benefits of Universal Glove and Gown (BUGG) trial: a subgroup analysis. Infect Control Hosp Epidemiol 36:734-7|
|Brotman, Rebecca M; Shardell, Michelle D; Gajer, Pawel et al. (2014) Association between the vaginal microbiota, menopause status, and signs of vulvovaginal atrophy. Menopause 21:450-8|
|Brotman, Rebecca M; Shardell, Michelle D; Gajer, Pawel et al. (2014) Interplay between the temporal dynamics of the vaginal microbiota and human papillomavirus detection. J Infect Dis 210:1723-33|
|Shardell, Michelle; Hicks, Gregory E (2014) Statistical analysis with missing exposure data measured by proxy respondents: a misclassification problem within a missing-data problem. Stat Med 33:4437-52|
|Shardell, Michelle; Reich, Nicholas G; Perencevich, Eli N (2013) Commentary: Back to the future with Sir Bradford Hill: statistical analysis with hospital-acquired infections. Int J Epidemiol 42:1509-10|
|Harris, Anthony D; Pineles, Lisa; Belton, Beverly et al. (2013) Universal glove and gown use and acquisition of antibiotic-resistant bacteria in the ICU: a randomized trial. JAMA 310:1571-80|
|Shardell, Michelle; Simonsick, Eleanor M; Hicks, Gregory E et al. (2013) Sensitivity analysis for nonignorable missingness and outcome misclassification from proxy reports. Epidemiology 24:215-23|
|El-Kamary, Samer S; Mohamed, Mona M; El-Raziky, Maissa et al. (2013) Liver fibrosis staging through a stepwise analysis of non-invasive markers (FibroSteps) in patients with chronic hepatitis C infection. Liver Int 33:982-90|
|Hess, Aaron S; Shardell, Michelle; Johnson, J Kristie et al. (2013) A randomized controlled trial of enhanced cleaning to reduce contamination of healthcare worker gowns and gloves with multidrug-resistant bacteria. Infect Control Hosp Epidemiol 34:487-93|
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