Use of penalized splines in extended Cox-type additive hazard regression to flexibly estimate the effect of time-varying serum uric acid on risk of cancer incidence: a prospective, population-based study in 78,850 men.
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J. Klenk | K. Pfeiffer | T. Kneib | S. Lang | H. Concin | H. Ulmer | W. Oberaigner | L. Brant | E. Ruttmann | W. Hilbe | A. Strasak | G. Diem | L. Kaltenbach
[1] K. Pfeiffer,et al. Association of gamma-glutamyltransferase and risk of cancer incidence in men: a prospective study. , 2008, Cancer research.
[2] K. Pfeiffer,et al. Serum uric acid is an independent predictor for all major forms of cardiovascular death in 28,613 elderly women: a prospective 21-year follow-up study. , 2008, International journal of cardiology.
[3] S. Gilboa,et al. Use of spline regression in an analysis of maternal prepregnancy body mass index and adverse birth outcomes: does it tell us more than we already know? , 2008, Annals of epidemiology.
[4] J. Klenk,et al. Serum uric acid and risk of cardiovascular mortality: a prospective long-term study of 83,683 Austrian men. , 2008, Clinical chemistry.
[5] J. Blangero,et al. Genome scan for determinants of serum uric acid variability. , 2007, Journal of the American Society of Nephrology : JASN.
[6] K. Pfeiffer,et al. The role of serum uric acid as an antioxidant protecting against cancer: prospective study in more than 28 000 older Austrian women. , 2007, Annals of oncology : official journal of the European Society for Medical Oncology.
[7] Giovanni Filardo,et al. Categorizing BMI may lead to biased results in studies investigating in-hospital mortality after isolated CABG. , 2007, Journal of clinical epidemiology.
[8] K. Pfeiffer,et al. Serum uric acid and risk of cancer mortality in a large prospective male cohort , 2007, Cancer Causes & Control.
[9] L. Fahrmeir,et al. A Mixed Model Approach for Geoadditive Hazard Regression , 2007 .
[10] Jiguo Cao,et al. An S-Plus function to calculate relative risks and adjusted means for regression models using natural splines , 2006, Comput. Methods Programs Biomed..
[11] Andreas Brezger,et al. Generalized structured additive regression based on Bayesian P-splines , 2006, Comput. Stat. Data Anal..
[12] T. Kneib,et al. BayesX: Analyzing Bayesian Structural Additive Regression Models , 2005 .
[13] H. Schumacher,et al. Serum uric acid and cardiovascular disease: recent developments, and where do they leave us? , 2005, The American journal of medicine.
[14] Byung Jin Kim,et al. Relationship between serum uric acid concentration and insulin resistance and metabolic syndrome. , 2005, Circulation journal : official journal of the Japanese Circulation Society.
[15] Robert A. Israel,et al. International Classification of Diseases (ICD) , 2005 .
[16] C. la Vecchia,et al. Estimating dose‐response relationship between ethanol and risk of cancer using regression spline models , 2005, International journal of cancer.
[17] Hyon K. Choi,et al. Obesity, weight change, hypertension, diuretic use, and risk of gout in men: the health professionals follow-up study. , 2005, Archives of internal medicine.
[18] B Rachet,et al. A flexible modeling approach to estimating the component effects of smoking behavior on lung cancer. , 2004, Journal of clinical epidemiology.
[19] H. Concin,et al. Long-term tracking of cardiovascular risk factors among men and women in a large population-based health system: the Vorarlberg Health Monitoring & Promotion Programme. , 2003, European heart journal.
[20] Rob J Hyndman,et al. Mixed Model-Based Hazard Estimation , 2002 .
[21] V. Tikhonoff,et al. Predictors of stroke mortality in elderly people from the general population , 2001, European Journal of Epidemiology.
[22] Jing Fang,et al. Serum Uric Acid and Cardiovascular Mortality: The NHANES I Epidemiologic Follow-up Study, 1971-1992 , 2000 .
[23] A. Döring,et al. Association of serum uric acid with all-cause and cardiovascular disease mortality and incident myocardial infarction in the MONICA Augsburg cohort. World Health Organization Monitoring Trends and Determinants in Cardiovascular Diseases. , 1999, Epidemiology.
[24] J. Ferlay,et al. Cancer Incidence in Five Continents , 1997 .
[25] Ludwig Fahrmeir,et al. Smoothing Hazard Functions and Time-Varying Effects in Discrete Duration and Competing Risks Models , 1996 .
[26] Paul H. C. Eilers,et al. Flexible smoothing with B-splines and penalties , 1996 .
[27] S. Greenland. Dose‐Response and Trend Analysis in Epidemiology: Alternatives to Categorical Analysis , 1995, Epidemiology.
[28] S Greenland,et al. Avoiding power loss associated with categorization and ordinal scores in dose-response and trend analysis. , 1995, Epidemiology.
[29] C R Weinberg,et al. How bad is categorization? , 1995, Epidemiology.
[30] T. Byers,et al. Relation of serum uric acid to mortality and ischemic heart disease. The NHANES I Epidemiologic Follow-up Study. , 1995, American journal of epidemiology.
[31] L. Kolonel,et al. Relationship of serum uric acid to cancer occurrence in a prospective male cohort. , 1994, Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology.
[32] L. P. Zhao,et al. Efficiency loss from categorizing quantitative exposures into qualitative exposures in case-control studies. , 1992, American journal of epidemiology.
[33] M. Kaliner,et al. Uric acid is a major antioxidant in human nasal airway secretions. , 1990, Proceedings of the National Academy of Sciences of the United States of America.
[34] R. Hiatt,et al. Serum uric acid unrelated to cancer incidence in humans. , 1988, Cancer research.
[35] H. King,et al. Plasma uric acid level and its association with diabetes mellitus and some biologic parameters in a biracial population of Fiji. , 1988, American journal of epidemiology.
[36] I. W. Wright. Splines in Statistics , 1983 .
[37] R. Gill,et al. Cox's regression model for counting processes: a large sample study : (preprint) , 1982 .
[38] B. Ames,et al. Uric acid provides an antioxidant defense in humans against oxidant- and radical-caused aging and cancer: a hypothesis. , 1981, Proceedings of the National Academy of Sciences of the United States of America.
[39] J. Wyngaarden,et al. Editorial: The kidney and uric acid excretion in man. , 1972, Kidney international.
[40] H. Concin,et al. Recent trends and sociodemographic distribution of cardiovascular risk factors: results from two population surveys in the Austrian WHO CINDI demonstration area. , 1912, Wiener klinische Wochenschrift.
[41] Hyon K. Choi,et al. Intake of purine-rich foods, protein, and dairy products and relationship to serum levels of uric acid: the Third National Health and Nutrition Examination Survey. , 2005, Arthritis and rheumatism.
[42] Richard J. Johnson,et al. Resurrection of uric acid as a causal risk factor in essential hypertension. , 2005, Hypertension.
[43] W Li,et al. Marker Selection by Akaike Information Criterion and Bayesian Information Criterion , 2001, Genetic epidemiology.
[44] C. Burtis. Tietz textbook of Clinical Chemistry , 1994 .
[45] M. C. Jones,et al. Spline Smoothing and Nonparametric Regression. , 1989 .
[46] N. Sugiura. Further analysts of the data by akaike' s information criterion and the finite corrections , 1978 .
[47] H. Akaike,et al. Information Theory and an Extension of the Maximum Likelihood Principle , 1973 .