HRS Bibliography

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I

Meddings J, Reichert H, Smith SN, et al. The Impact of Disability and Social Determinants of Health on Condition-Specific Readmissions beyond Medicare Risk Adjustments: A Cohort Study. J Gen Intern Med. 2017;32(1):71-80. doi:10.1007/s11606-016-3869-x.
http://www.ncbi.nlm.nih.gov/pubmed/27848189?dopt=Abstract
Prescott HC, Langa KM, Liu V, Escobar GJ, Iwashyna TJ. Increased 1-year healthcare use in survivors of severe sepsis. Am J Respir Crit Care Med. 2014;190(1):62-9. doi:10.1164/rccm.201403-0471OC.
http://www.ncbi.nlm.nih.gov/pubmed/24872085?dopt=Abstract
Lopez-Mendez M, Iskandar R, Jutkowitz E. Individual and Dyadic Health-Related Quality of Life of People Living with Dementia and their Caregivers. 2023. doi:https://doi.org/10.1007/s11482-023-10157-0.
Viglianti EM, Prescott HC, Liu V, Escobar GJ, Iwashyna TJ. Individual and health system variation in rehospitalizations the year after pneumonia. Medicine (Baltimore). 2017;96(31):e7695. doi:10.1097/MD.0000000000007695.
http://www.ncbi.nlm.nih.gov/pubmed/28767603?dopt=Abstract
Inoue M. The Influence of Sociodemographic and Psychosocial Factors on Advance Care Planning. J Gerontol Soc Work. 2016;59(5):401-422. doi:10.1080/01634372.2016.1229709.
http://www.ncbi.nlm.nih.gov/pubmed/27586074?dopt=Abstract
Morrow-Howell N, Putnam M, Lee YSoo, Greenfield JC, Inoue M, Chen H. An investigation of activity profiles of older adults. J Gerontol B Psychol Sci Soc Sci. 2014;69(5):809-21. doi:10.1093/geronb/gbu002.
http://www.ncbi.nlm.nih.gov/pubmed/24526690?dopt=Abstract
Ingels JB. An Investigation of the Consequences and Costs Associated with Bereavement: Findings from the Health and Retirement Study (2004-2014). Epidemiology and Biostatistics. 2020;Doctor of Philosophy.

J

Andel R, Infurna FJ, Rickenbach EAHahn, Crowe M, Marchiondo LA, Fisher GG. Job strain and trajectories of change in episodic memory before and after retirement: results from the Health and Retirement Study. Journal of Epidemiology and Community Health. 2015;69(5):442-446. doi:10.1136/jech-2014-204754.

L

Prescott HC, Sjoding MW, Langa KM, Iwashyna TJ, McAuley DF. Late mortality after acute hypoxic respiratory failure. Thorax. 2017. doi:10.1136/thoraxjnl-2017-210109.
http://www.ncbi.nlm.nih.gov/pubmed/28780503?dopt=Abstract
Prescott HC, Osterholzer JJ, Langa KM, Angus DC, Iwashyna TJ. Late mortality after sepsis: propensity matched cohort study. BMJ. 2016;353:i2375. doi:10.1136/bmj.i2375.
http://www.ncbi.nlm.nih.gov/pubmed/27189000?dopt=Abstract
Infurna FJ, Gerstorf D. Linking Perceived Control, Physical Activity, and Biological Health to Memory Change. Psychology and Aging. 2013;28(4):1147-1163. doi:10.1037/a0033327.
Loci associated with ischaemic stroke and its subtypes (SiGN): a genome-wide association study. Lancet Neurology. 2016;15(2):174-184. doi:10.1016/S1474-4422(15)00338-5.
Infurna FJ, Kappes C, Fraire N. Long-term antecedents of constraints and mastery: Findings from the Health and Retirement Study. Psychology and Aging. 2018;33(6):965-974. doi:10.1037/pag0000281.
Iwashyna TJ, E Ely W, Smith DM, Langa KM. Long-term cognitive impairment and functional disability among survivors of severe sepsis. JAMA. 2010;304(16):1787-94. doi:10.1001/jama.2010.1553.
http://www.ncbi.nlm.nih.gov/pubmed/20978258?dopt=Abstract

M

M. Islam A, Chowdhury RI, Singh KP. A Markov Model for Analyzing Polytomous Outcome Data. Pakistan Journal of Statistics and Operation Research. 2012;8(3):593-603. doi:10.18187/pjsor.v8i3.530.PDF icon PJOR_530-1545-1-SM (1).pdf (253.06 KB)
M. Islam A, Chowdhury RI, Huda S. Markov Models with Covariate Dependence for Repeated Measures. New York: Nova Science Publishers; 2009.
Tetlow AM, Andel R, Infurna FJ. Is Memory Decline Associated With Inflammatory Response?. Journal of Aging and Health. 2017:898264317742809. doi:10.1177/0898264317742809.
http://www.ncbi.nlm.nih.gov/pubmed/29254429?dopt=Abstract
Fisher GG, Stachowski A, Infurna FJ, Faul J, Grosch J, Tetrick LE. Mental work demands, retirement, and longitudinal trajectories of cognitive functioning. J Occup Health Psychol. 2014;19(2):231-42. doi:10.1037/a0035724.
http://www.ncbi.nlm.nih.gov/pubmed/24635733?dopt=Abstract
A Erzurumluoglu M, Liu M, Jackson VE, et al. Meta-analysis of up to 622,409 individuals identifies 40 novel smoking behaviour associated genetic loci. Molecular Psychiatry. 2020;25(10):2392-2409. doi:10.1038/s41380-018-0313-0.
Imbriano P. Methods for Improving Efficiency of Planned Missing Data Designs. Biostatistics. 2018;PhD:110.
M. Islam A, Chowdhury RI, Bae S, Singh KP. A model for assessing the association in the repeated measures of depression among the elderly. In: Proceedings - 20th International Congress on Modelling and Simulation, MODSIM 2013. Proceedings - 20th International Congress on Modelling and Simulation, MODSIM 2013. Adelaide, Australia; 2020.
Marshall GL, Ingraham B, Major J, Kahana E, Stansbury K. Modeling the impact of financial hardship and age on self-rated health and depressive symptoms pre/post the great recession. SSM - Population Health. 2022;18:101102. doi:https://doi.org/10.1016/j.ssmph.2022.101102.
Mayer A, Geiser C, Infurna FJ, Fiege C. Modelling and predicting complex patterns of change using growth component models: An application to depression trajectories in cancer patients. European Journal of Developmental Psychology. 2013;10(1):40-59. doi:10.1080/17405629.2012.732721.
Gulshan J, Khan A, M Islam A. Modelling Correlated Bivariate Binary Data: A Comparative View. Bulletin of the Malaysian Mathematical Sciences Society. 2022. doi:10.1007/s40840-022-01290-4.
Sun D, Richard M, Musani SK, et al. Multi-Ancestry Genome-wide Association Study Accounting for Gene-Psychosocial Factor Interactions Identifies Novel Loci for Blood Pressure Traits. Human Genetics and Genomics Advances. 2021;2(1):100013. doi:10.1016/j.xhgg.2020.100013.