HRS Bibliography

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2013

Hülür G, Infurna FJ, Ram N, Gerstorf D. Cohorts based on decade of death: no evidence for secular trends favoring later cohorts in cognitive aging and terminal decline in the AHEAD study. Psychol Aging. 2013;28(1):115-27. doi:10.1037/a0029965.
http://www.ncbi.nlm.nih.gov/pubmed/23046001?dopt=Abstract
Davydow DS, Hough CL, Levine DA, Langa KM, Iwashyna TJ. Functional disability, cognitive impairment, and depression after hospitalization for pneumonia. Am J Med. 2013;126(7):615-24.e5. doi:10.1016/j.amjmed.2012.12.006.
http://www.ncbi.nlm.nih.gov/pubmed/23499326?dopt=Abstract
M. Islam A, Alzaid AA, Chowdhury RI, Sultan KS. A generalized bivariate Bernoulli model with covariate dependence. Journal of Applied Statistics. 2013;40:1064-1075. doi:10.1080/02664763.2013.780156.
Rietveld CA, Medland SE, Derringer J, et al. GWAS of 126,559 individuals identifies genetic variants associated with educational attainment. Science. 2013;340(6139):1467-71. doi:10.1126/science.1235488.
http://www.ncbi.nlm.nih.gov/pubmed/23722424?dopt=Abstract
Rietveld CA, Medland SE, Derringer J, et al. GWAS of 126,559 individuals identifies genetic variants associated with educational attainment. Science. 2013;340(6139):1467-71. doi:10.1126/science.1235488.
http://www.ncbi.nlm.nih.gov/pubmed/23722424?dopt=Abstract
Rietveld CA, Medland SE, Derringer J, et al. GWAS of 126,559 individuals identifies genetic variants associated with educational attainment. Science. 2013;340(6139):1467-71. doi:10.1126/science.1235488.
http://www.ncbi.nlm.nih.gov/pubmed/23722424?dopt=Abstract
Rietveld CA, Medland SE, Derringer J, et al. GWAS of 126,559 individuals identifies genetic variants associated with educational attainment. Science. 2013;340(6139):1467-71. doi:10.1126/science.1235488.
http://www.ncbi.nlm.nih.gov/pubmed/23722424?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.
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.
Noor NMohd, M. Islam A, Ali Z. A multistate transition model for analyzing diseases in elderly population. World Applied Sciences Journal. 2013;21(12):1700-1707. doi: 10.5829/idosi.wasj.2013.21.12.2570.
M. Islam A, Chowdhury RI, Huda S. A Multistate Transition Model for Analyzing Longitudinal Depression Data. BULLETIN of the MALAYSIAN MATHEMATICAL SCIENCES SOCIETY; 2013.
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.
Davydow DS, Hough CL, Langa KM, Iwashyna TJ. Symptoms of depression in survivors of severe sepsis: a prospective cohort study of older Americans. Am J Geriatr Psychiatry. 2013;21(9):887-97. doi:10.1016/j.jagp.2013.01.017.
http://www.ncbi.nlm.nih.gov/pubmed/23567391?dopt=Abstract

2012

M. Islam A, Chowdhury RI, Briollais L. A bivariate binary model for testing dependence in outcomes. Bulletin of the Malaysian Mathematical Sciences Society. 2012;35(4):845-858.PDF icon BMMS_bernoulliv35n4p2.pdf (144.95 KB)
Rakoski MO, McCammon RJ, Piette JD, et al. Burden of cirrhosis on older Americans and their families: analysis of the health and retirement study. Hepatology. 2012;55(1):184-91. doi:10.1002/hep.24616.
http://www.ncbi.nlm.nih.gov/pubmed/21858847?dopt=Abstract
Shaffer VA, Merkle EC, Fagerlin A, Griggs JJ, Langa KM, Iwashyna TJ. Chemotherapy was not associated with cognitive decline in older adults with breast and colorectal cancer: findings from a prospective cohort study. Med Care. 2012;50(10):849-55. doi:10.1097/MLR.0b013e31825a8bb0.
http://www.ncbi.nlm.nih.gov/pubmed/22683591?dopt=Abstract
Davydow DS, Hough CL, Langa KM, Iwashyna TJ. Depressive symptoms in spouses of older patients with severe sepsis. Crit Care Med. 2012;40(8):2335-41. doi:10.1097/CCM.0b013e3182536a81.
http://www.ncbi.nlm.nih.gov/pubmed/22635049?dopt=Abstract
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)
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)
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
Iwashyna TJ, Netzer G, Langa KM, Cigolle CT. Spurious inferences about long-term outcomes: the case of severe sepsis and geriatric conditions. Am J Respir Crit Care Med. 2012;185(8):835-41. doi:10.1164/rccm.201109-1660OC.
http://www.ncbi.nlm.nih.gov/pubmed/22323301?dopt=Abstract
M. Islam A. Tests for Dependence in Binary Repeated Measures Data. Chowdhury RI, Alzaid A, eds. Journal of Statistical Research. 2012;46(2):203-217.PDF icon Tests for Dependence in Binary Repeated Measures Data.pdf (286 KB)

2011

Fong TG, Jones RN, Rudolph JL, et al. Development and validation of a brief cognitive assessment tool: the sweet 16. Arch Intern Med. 2011;171(5):432-7. doi:10.1001/archinternmed.2010.423.
http://www.ncbi.nlm.nih.gov/pubmed/21059967?dopt=Abstract
Infurna FJ, Gerstorf D, Ryan LH, Smith J. Dynamic links between memory and functional limitations in old age: longitudinal evidence for age-based structural dynamics from the AHEAD study. Psychol Aging. 2011;26(3):546-58. doi:10.1037/a0023023.
http://www.ncbi.nlm.nih.gov/pubmed/21480716?dopt=Abstract
Nicholas LHersch, Langa KM, Iwashyna TJ, Weir DR. Regional variation in the association between advance directives and end-of-life Medicare expenditures. JAMA. 2011;306(13):1447-53. doi:10.1001/jama.2011.1410.
http://www.ncbi.nlm.nih.gov/pubmed/21972306?dopt=Abstract