HRS Bibliography

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M. Islam A, Sultan KS, Chowdhury RI. Estimation and Tests for a Longitudinal Regression Model Based on the Markov Chain. Statistical Methodology. 2009;6(5):478-489. doi:https://doi.org/10.1016/j.stamet.2009.04.003.
Staben O, Infurna FJ, Lachman ME, Gerstorf D. Examining Racial Disparities in Historical Change of Mental and Physical Health Across Midlife and Old Age in the US. The Journals of Gerontology, Series B. 2022;77(11):1978-1989. doi:10.1093/geronb/gbab232.
Brazel DM, Jiang Y, Hughey JM, et al. Exome Chip Meta-analysis Fine Maps Causal Variants and Elucidates the Genetic Architecture of Rare Coding Variants in Smoking and Alcohol Use. Biological Psychiatry. 2019;85(11):946-955. doi:10.1016/j.biopsych.2018.11.024.

F

M. Islam A, Chowdhury RI. First and Higher Order Transition Models with Covariate Dependence. In: Yang F, ed. Progress in Applied Mathematical Modeling. Progress in Applied Mathematical Modeling. USA: Nova Science Publishers; 2008:153-96.
Levine DA, Davydow DS, Hough CL, Langa KM, Rogers MAM, Iwashyna TJ. Functional disability and cognitive impairment after hospitalization for myocardial infarction and stroke. Circ Cardiovasc Qual Outcomes. 2014;7(6):863-71. doi:10.1161/HCQ.0000000000000008.
http://www.ncbi.nlm.nih.gov/pubmed/25387772?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

G

Fuentes Lde Las, Sung YJu, Noordam R, et al. Gene-educational attainment interactions in a multi-ancestry genome-wide meta-analysis identify novel blood pressure loci. Mol Psychiatry. 2021;26(6):2111-2125. doi:10.1038/s41380-020-0719-3.
Fuentes Lde Las, Sung YJu, Noordam R, et al. Gene-educational attainment interactions in a multi-ancestry genome-wide meta-analysis identify novel blood pressure loci. Mol Psychiatry. 2021;26(6):2111-2125. doi:10.1038/s41380-020-0719-3.
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.
M. Islam A, Chowdhury RI. A generalized right truncated bivariate Poisson regression model with applications to health data. PLoS One. 2017;12(6):e0178153. doi:10.1371/journal.pone.0178153.
http://www.ncbi.nlm.nih.gov/pubmed/28586344?dopt=Abstract
Pattaro C, Teumer A, Gorski M, et al. Genetic associations at 53 loci highlight cell types and biological pathways relevant for kidney function. Nat Commun. 2016;7:10023. doi:10.1038/ncomms10023.
http://www.ncbi.nlm.nih.gov/pubmed/26831199?dopt=Abstract
Pattaro C, Teumer A, Gorski M, et al. Genetic associations at 53 loci highlight cell types and biological pathways relevant for kidney function. Nat Commun. 2016;7:10023. doi:10.1038/ncomms10023.
http://www.ncbi.nlm.nih.gov/pubmed/26831199?dopt=Abstract
Pattaro C, Teumer A, Gorski M, et al. Genetic associations at 53 loci highlight cell types and biological pathways relevant for kidney function. Nat Commun. 2016;7:10023. doi:10.1038/ncomms10023.
http://www.ncbi.nlm.nih.gov/pubmed/26831199?dopt=Abstract
Pattaro C, Teumer A, Gorski M, et al. Genetic associations at 53 loci highlight cell types and biological pathways relevant for kidney function. Nat Commun. 2016;7:10023. doi:10.1038/ncomms10023.
http://www.ncbi.nlm.nih.gov/pubmed/26831199?dopt=Abstract
Pattaro C, Teumer A, Gorski M, et al. Genetic associations at 53 loci highlight cell types and biological pathways relevant for kidney function. Nat Commun. 2016;7:10023. doi:10.1038/ncomms10023.
http://www.ncbi.nlm.nih.gov/pubmed/26831199?dopt=Abstract
Davies G, Armstrong N, Joshua C. Bis, Ibrahim-Verbaas CA, et al. Genetic contributions to variation in general cognitive function: a meta-analysis of genome-wide association studies in the CHARGE consortium (N=53949). Mol Psychiatry. 2015;20(2):183-92. doi:10.1038/mp.2014.188.
http://www.ncbi.nlm.nih.gov/pubmed/25644384?dopt=Abstract
Bihlmeyer NA, Brody JA, Smith AVernon, et al. Genetic diversity is a predictor of mortality in humans. BMC Genet. 2014;15:159. doi:10.1186/s12863-014-0159-7.
http://www.ncbi.nlm.nih.gov/pubmed/25543667?dopt=Abstract
Castellini-Perez O, Iakovliev A, Martinez-Bueno M, et al. GENETIC EVALUATION OF MOLECULAR TRAITS IN SYSTEMIC LUPUS ERYTHEMATOSUS. Lupus Science & Medicine . 2022;9(Suppl 2):A13-A14. doi:10.1136/lupus-2022-elm2022.19.
Locke AE, Kahali B, Berndt SI, et al. Genetic studies of body mass index yield new insights for obesity biology. Nature. 2015;518(7538):197-206. doi:10.1038/nature14177.
http://www.ncbi.nlm.nih.gov/pubmed/25673413?dopt=Abstract
Locke AE, Kahali B, Berndt SI, et al. Genetic studies of body mass index yield new insights for obesity biology. Nature. 2015;518(7538):197-206. doi:10.1038/nature14177.
http://www.ncbi.nlm.nih.gov/pubmed/25673413?dopt=Abstract
Locke AE, Kahali B, Berndt SI, et al. Genetic studies of body mass index yield new insights for obesity biology. Nature. 2015;518(7538):197-206. doi:10.1038/nature14177.
http://www.ncbi.nlm.nih.gov/pubmed/25673413?dopt=Abstract
Locke AE, Kahali B, Berndt SI, et al. Genetic studies of body mass index yield new insights for obesity biology. Nature. 2015;518(7538):197-206. doi:10.1038/nature14177.
http://www.ncbi.nlm.nih.gov/pubmed/25673413?dopt=Abstract
Locke AE, Kahali B, Berndt SI, et al. Genetic studies of body mass index yield new insights for obesity biology. Nature. 2015;518(7538):197-206. doi:10.1038/nature14177.
http://www.ncbi.nlm.nih.gov/pubmed/25673413?dopt=Abstract
Okbay A, Baselmans BML, De Neve J-E, et al. Genetic variants associated with subjective well-being, depressive symptoms, and neuroticism identified through genome-wide analyses. Nat Genet. 2016;48(6):624-33. doi:10.1038/ng.3552.