HRS Bibliography

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M

M. Islam A, Chowdhury RI, Huda S. A Multistate Transition Model for Analyzing Longitudinal Depression Data. BULLETIN of the MALAYSIAN MATHEMATICAL SCIENCES SOCIETY; 2013.

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Infurna FJ, Gerstorf D, Ram N. The Nature and Correlates of Change in Depressive Symptoms With Cancer Diagnosis: Reaction and Adaptation. Psychology and Aging. 2013;28(2):386-401. doi:10.1037/a0029775.
Irani E, Park S, Hickman RL. Negative marital interaction, purpose in life, and depressive symptoms among middle-aged and older couples: evidence from the Health and Retirement Study. Aging & Mental Health. 2022;26(4):860-869. doi:10.1080/13607863.2021.1904831.
Davydow DS, Zivin K, Katon WJ, et al. Neuropsychiatric disorders and potentially preventable hospitalizations in a prospective cohort study of older Americans. J Gen Intern Med. 2014;29(10):1362-71. doi:10.1007/s11606-014-2916-8.
http://www.ncbi.nlm.nih.gov/pubmed/24939712?dopt=Abstract
Kraja AT, Cook JP, Warren HR, et al. New Blood Pressure-Associated Loci Identified in Meta-Analyses of 475 000 Individuals. Circulation: Cardiovascular Genetics. 2017;10(5):e001778. doi:10.1161/CIRCGENETICS.117.001778.
Iciaszczyk C. Nursing Homes and Loneliness Among Older Adults in the United States . London, ON, CA: The University of Western Ontario; 2021.

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Prescott HC, Chang VW, O'Brien, Jr JM, Langa KM, Iwashyna TJ. Obesity and 1-year outcomes in older Americans with severe sepsis. Crit Care Med. 2014;42(8):1766-74. doi:10.1097/CCM.0000000000000336.
http://www.ncbi.nlm.nih.gov/pubmed/24717466?dopt=Abstract
Chang VW, Langa KM, Weir DR, Iwashyna TJ. The obesity paradox and incident cardiovascular disease: A population-based study. PLoS One. 2017;12(12):e0188636. doi:10.1371/journal.pone.0188636.
http://www.ncbi.nlm.nih.gov/pubmed/29216243?dopt=Abstract
White L, Ingraham B, Larson EB, Fishman P, Park S, Coe NB. Observational study of patient characteristics associated with a timely diagnosis of dementia and mild cognitive impairment without dementia. Journal of General Internal Medicine. 2022;37(12):2957-2965. doi:https://doi.org/10.1007/s11606-021-07169-7.

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Chowdhury RI, M. Islam A, Huda S, Briollais L. Parameter Estimation in Logistic Regression for Transition, Reverse Transition and Repeated Transition from Repeated Outcomes. Applied Mathematics. 2012:1739-1749.PDF icon AM_SAS.pdf (215.62 KB)
Prescott HC, Carmichael AG, Langa KM, Gonzalez R, Iwashyna TJ. Paths into sepsis: Trajectories of presepsis healthcare use. Annals of the American Thoracic Society. 2019;16(1):116-123. doi:10.1513/AnnalsATS.201806-391OC.
http://www.ncbi.nlm.nih.gov/pubmed/30212640?dopt=Abstract
Elliot AJ, Mooney CJ, Infurna FJ, Chapman BP. Perceived control and frailty: The role of affect and perceived health. Psychology and Aging. 2018;33(3):473-481. doi:10.1037/pag0000218.
http://www.ncbi.nlm.nih.gov/pubmed/29446967?dopt=Abstract
Infurna FJ, Gerstorf D. Perceived control relates to better functional health and lower cardio-metabolic risk: The mediating role of physical activity. Health psychology : official journal of the Division of Health Psychology, American Psychological Association. 2014;33(1):85-94.
Iveniuk J, Laumann EO, Waite LJ, McClintock MK, Tiedt AD. Personality measures in the national social life, health, and aging project. The journals of gerontology. Series B, Psychological sciences and social sciences. 2014;69(Suppl 2):S117-24. doi:10.1093/geronb/gbu073.
Weiss A, Baselmans BML, Hofer E, et al. Personality Polygenes, Positive Affect, and Life Satisfaction. Twin Res Hum Genet. 2016;19(5):407-17. doi:10.1017/thg.2016.65.
Badolato L, Decter-Frain A, Irons NJ, et al. Predicting individual-level longevity with statistical and machine learning methods. Max Planck Institute; 2023. doi:10.4054/MPIDR-WP-2023-008.
M. Islam A, Chowdhury RI. Prediction of disease status: A regressive model approach for repeated measures. Statistical Methodology. 2010;7(5):520-540. doi:https://doi.org/10.1016/j.stamet.2010.03.001.
Chowdhury RI, M. Islam A. Prediction of Disease Status: Transition Model Approach for Repeated Measures. Pakistan Journal of Statistics . 2014;30(2):181-196.PDF icon PAKJSTAT.pdf (403.25 KB)
Chowdhury RI, M. Islam A. Predictive Models for Trajectory Risks Prediction from Repeated Ordinal Outcomes. Bulletin of the Malaysian Mathematical Sciences Society. Forthcoming. doi:10.1007/s40840-022-01277-1.
Davydow DS, Hough CL, Langa KM, Iwashyna TJ. Presepsis depressive symptoms are associated with incident cognitive impairment in survivors of severe sepsis: a prospective cohort study of older Americans. J Am Geriatr Soc. 2012;60(12):2290-6. doi:10.1111/jgs.12001.
http://www.ncbi.nlm.nih.gov/pubmed/23176643?dopt=Abstract
Grol-Prokopczyk H, Verdes-Tennant E, McEniry M, Ispány M. Promises and Pitfalls of Anchoring Vignettes in Health Survey Research. Demography. 2015;52(5):1703-1728. doi:10.1007/s13524-015-0422-1.
Turcot V, Lu Y, Highland HM, et al. Protein-altering variants associated with body mass index implicate pathways that control energy intake and expenditure in obesity. Nat Genet. 2018;50(1):26-41. doi:10.1038/s41588-017-0011-x.
http://www.ncbi.nlm.nih.gov/pubmed/29273807?dopt=Abstract
Turcot V, Lu Y, Highland HM, et al. Protein-altering variants associated with body mass index implicate pathways that control energy intake and expenditure in obesity. Nat Genet. 2018;50(1):26-41. doi:10.1038/s41588-017-0011-x.
http://www.ncbi.nlm.nih.gov/pubmed/29273807?dopt=Abstract
Turcot V, Lu Y, Highland HM, et al. Protein-altering variants associated with body mass index implicate pathways that control energy intake and expenditure in obesity. Nat Genet. 2018;50(1):26-41. doi:10.1038/s41588-017-0011-x.
http://www.ncbi.nlm.nih.gov/pubmed/29273807?dopt=Abstract

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Byhoff E, Harris TB, Langa KM, Iwashyna TJ. Racial and Ethnic Differences in End-of-Life Medicare Expenditures. Journal of the American Geriatrics Society. 2016;64(9):1789-1797. doi:10.1111/jgs.14263.