The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Flexible regression models with cubic splines
Abstract
We describe the use of cubic splines in regression models to represent the relationship between the response variable and a vector of covariates. This simple method can help prevent the problems that result from inappropriate linearity assumptions. We compare restricted cubic spline regression to non‐parametric procedures for characterizing the relationship between age and survival in the Stanford Heart Transplant data. We also provide an illustrative example in cancer therapeutics.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Some aspects of the spline smoothing approach to non-parametric regression curve fitting
Silverman, B. W. (1985) · Journal of the Royal Statistical Society Series B: Statistical Methodology · doi:10.1111/j.2517-6161.1985.tb01327.x · Cited by 1,117
Research works printed but not linked: 23
- 10.1002/ijc.2910130104 · DOI
- Simon R., 1984, Importance of prognostic factors in cancer clinical trials, Cancer Treatment Reports, 68, 185
- Byar D. P., 1983, Cancer Clinical Trials: Methods and Practice, 423
- 10.1002/mpo.2950140310 · DOI
- Simon R., 1983, Cancer Clinical Trials: Methods and Practice, 444
- 10.1093/biomet/67.1.145 · DOI · Paper page
- Tsiatis A. A., 1980, A note on a goodness of fit test for the logistic regression model, Biometrika, 67, 250, 10.1093/biomet/67.1.250 · DOI
- Draper N. R., 1981, Applied Regression Analysis
- 10.2307/2284770 · DOI
- 10.1080/00401706.1974.10489142 · DOI · Paper page
- 10.2307/2683222 · DOI · Paper page
- Stone C. J., 1985, Proceedings of the Statistical Computing Section
- 10.1080/01621459.1983.10477977 · DOI · Paper page
- 10.1214/ss/1177013607 · DOI
- 10.1080/01621459.1973.10481353 · DOI
- 10.1080/03610928408828695 · DOI
- 10.1093/biomet/69.3.521 · DOI
- 10.1214/ss/1177013604 · DOI · Paper page
- 10.1002/1097-0142(19820515)49:10<2112::AID-CNCR2820491024>3.0.CO;2-2 · DOI
- 10.7326/0003-4819-104-6-757 · DOI
- 10.1200/JCO.1986.4.3.295 · DOI · Paper page
- 10.1016/0002-9343(87)90944-2 · DOI
- 10.1002/sim.4780070126 · DOI
Cited by
General and abdominal adiposity and risk of death in Europe
Pischon, T., Boeing, H., Hoffmann, K., Bergmann, M., Schulze, M. B., Overvad, K., van der Schouw, Y. T., Spencer, E., Moons, K. G. M., Tjønneland, A., et al. (2008) · New England Journal of Medicine · doi:10.1056/nejmoa0801891 · Cited by 2,155
Fish Intake, Contaminants, and Human Health: Evaluating the Risks and the Benefits
Mozaffarian, D., & Rimm, E. B. (2006) · JAMA · doi:10.1001/jama.296.15.1885 · Cited by 1,966
Tu, J. V. (1996) · Journal of Clinical Epidemiology · doi:10.1016/s0895-4356(96)00002-9 · Cited by 1,818
A tutorial on Gaussian process regression: modelling, exploring, and exploiting functions
Schulz, E., Speekenbrink, M., & Krause, A. (2018) · Journal of Mathematical Psychology · doi:10.1016/j.jmp.2018.03.001 · Cited by 1,735
Use of oral corticosteroids and risk of fractures
Van Staa, T. P., Leufkens, H. G. M., Abenhaim, L., Zhang, B., & Cooper, C. (2000) · Journal of Bone and Mineral Research · doi:10.1359/jbmr.2000.15.6.993 · Cited by 1,263
Bower, H., Björkholm, M., Dickman, P. W., Höglund, M., Lambert, P. C., & Andersson, T. M.-L. (2016) · Journal of Clinical Oncology · doi:10.1200/jco.2015.66.2866 · Cited by 904
Schwingshackl, L., Hoffmann, G., Lampousi, A.-M., Knüppel, S., Iqbal, K., Schwedhelm, C., Bechthold, A., Schlesinger, S., & Boeing, H. (2017) · European Journal of Epidemiology · doi:10.1007/s10654-017-0246-y · Cited by 799
Falcaro, M., Castañon, A., Ndlela, B., Checchi, M., Soldan, K., Lopez-Bernal, J., Elliss-Brookes, L., & Sasieni, P. (2021) · The Lancet · doi:10.1016/s0140-6736(21)02178-4 · Cited by 785
Bechthold, A., Boeing, H., Schwedhelm, C., Hoffmann, G., Knüppel, S., Iqbal, K., De Henauw, S., Michels, N., Devleesschauwer, B., Schlesinger, S., et al. (2019) · Critical Reviews in Food Science and Nutrition · doi:10.1080/10408398.2017.1392288 · Cited by 693
“…three fi xed knots at 10%, 50%, and 90% through the total distribution of the reported intake, and combined them using multivariable meta-analysis (Durrleman and Simon 1989) (if at least 2 studies with at least three quantitative exposure levels were known for one of the 12 food groups with the…”
Moore, S. C., Patel, A. V., Matthews, C. E., Berrington de Gonzalez, A., Park, Y., Katki, H. A., Linet, M. S., Weiderpass, E., Visvanathan, K., Helzlsouer, K. J., et al. (2012) · PLoS Medicine · doi:10.1371/journal.pmed.1001335 · Cited by 690
Body Iron Stores in Relation to Risk of Type 2 Diabetes in Apparently Healthy Women
Jiang, R. (2004) · JAMA · doi:10.1001/jama.291.6.711 · Cited by 598
Schwingshackl, L., Schwedhelm, C., Hoffmann, G., Lampousi, A.-M., Knüppel, S., Iqbal, K., Bechthold, A., Schlesinger, S., & Boeing, H. (2017) · The American Journal of Clinical Nutrition · doi:10.3945/ajcn.117.153148 · Cited by 600
Schiattarella, G. G., Sannino, A., Toscano, E., Giugliano, G., Gargiulo, G., Franzone, A., Trimarco, B., Esposito, G., & Perrino, C. (2017) · European Heart Journal · doi:10.1093/eurheartj/ehx342 · Cited by 563
Association of Obesity With Risk of Early-Onset Colorectal Cancer Among Women
Liu, P.-H., Wu, K., Ng, K., Zauber, A. G., Nguyen, L. H., Song, M., He, X., Fuchs, C. S., Ogino, S., Willett, W. C., et al. (2019) · JAMA Oncology · doi:10.1001/jamaoncol.2018.4280 · Cited by 514
Lee, D. H., Keum, N., Hu, F. B., Orav, E. J., Rimm, E. B., Willett, W. C., & Giovannucci, E. L. (2018) · BMJ · doi:10.1136/bmj.k2575 · Cited by 486
Neutrophil-to-lymphocyte ratio and mortality in the United States general population
Song, M., Graubard, B. I., Rabkin, C. S., & Engels, E. A. (2021) · Scientific Reports · doi:10.1038/s41598-020-79431-7 · Cited by 434
Physical Activity, Body Mass Index, and Ovulatory Disorder Infertility
Rich-Edwards, J. W., Spiegelman, D., Garland, M., Hertzmark, E., Hunter, D. J., Colditz, G. A., Willett, W. C., Wand, H., & Manson, J. E. (2002) · Epidemiology · doi:10.1097/00001648-200203000-00013 · Cited by 411
Placental abruption and adverse perinatal outcomes
Ananth, C. V. (1999) · JAMA · doi:10.1001/jama.282.17.1646 · Cited by 412
Relationship of Sedentary Behavior and Physical Activity to Incident Cardiovascular Disease
Chomistek, A. K., Manson, J. E., Stefanick, M. L., Lu, B., Sands-Lincoln, M., Going, S. B., Garcia, L., Allison, M. A., Sims, S. T., LaMonte, M. J., et al. (2013) · Journal of the American College of Cardiology · doi:10.1016/j.jacc.2013.03.031 · Cited by 389
“The possibility of nonlinear relations between sitting time, physical activity, and CVD were examined nonparametrically with restricted cubic splines (14).”
Pineles, B. L., Park, E., & Samet, J. M. (2014) · American Journal of Epidemiology · doi:10.1093/aje/kwt334 · Cited by 387
de Oliveira Otto, M. C., Mozaffarian, D., Kromhout, D., Bertoni, A. G., Sibley, C. T., Jacobs, D. R., & Nettleton, J. A. (2012) · The American Journal of Clinical Nutrition · doi:10.3945/ajcn.112.037770 · Cited by 364
Chien, K.-L., Chen, P.-C., Hsu, H.-C., Su, T.-C., Sung, F.-C., Chen, M.-F., & Lee, Y.-T. (2010) · SLEEP · doi:10.1093/sleep/33.2.177 · Cited by 350
Halldorsson, T. I., Rytter, D., Haug, L. S., Bech, B. H., Danielsen, I., Becher, G., Henriksen, T. B., & Olsen, S. F. (2012) · Environmental Health Perspectives · doi:10.1289/ehp.1104034 · Cited by 353
Kumari, M., Shipley, M., Stafford, M., & Kivimaki, M. (2011) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/jc.2010-2137 · Cited by 343
Chen, C., Ye, Y., Zhang, Y., Pan, X.-F., & Pan, A. (2019) · BMJ · doi:10.1136/bmj.l5584 · Cited by 340
Schatzkin, A., Mouw, T., Park, Y., Subar, A. F., Kipnis, V., Hollenbeck, A., Leitzmann, M. F., & Thompson, F. E. (2007) · The American Journal of Clinical Nutrition · doi:10.1093/ajcn/85.5.1353 · Cited by 317
Böhm, M., Schumacher, H., Teo, K. K., Lonn, E. M., Mahfoud, F., Mann, J. F. E., Mancia, G., Redon, J., Schmieder, R. E., Sliwa, K., et al. (2017) · The Lancet · doi:10.1016/s0140-6736(17)30754-7 · Cited by 315
Association Between Familial Atrial Fibrillation and Risk of New-Onset Atrial Fibrillation
Lubitz, S. A., Yin, X., Fontes, J. D., Magnani, J. W., Rienstra, M., Pai, M., Villalon, M. L., Vasan, R. S., Pencina, M. J., Levy, D., et al. (2010) · JAMA · doi:10.1001/jama.2010.1690 · Cited by 313
Relationship between lifelong exercise volume and coronary atherosclerosis in athletes.
Aengevaeren, V. L., Mosterd, A., Braber, T. L., Prakken, N. H. J., Doevendans, P. A., Grobbee, D. E., Thompson, P. D., Eijsvogels, T. M. H., & Velthuis, B. K. (2017) · Circulation · doi:10.1161/circulationaha.117.027834 · Cited by 312
Zhang, C., Solomon, C. G., Manson, J. E., & Hu, F. B. (2006) · Archives of Internal Medicine · doi:10.1001/archinte.166.5.543 · Cited by 306
Dose-response meta-analysis of antipsychotic drugs for acute schizophrenia
Leucht, S., Crippa, A., Siafis, S., Patel, M. X., Orsini, N., & Davis, J. M. (2020) · American Journal of Psychiatry · doi:10.1176/appi.ajp.2019.19010034 · Cited by 301
Liu, T.-Z., Xu, C., Rota, M., Cai, H., Zhang, C., Shi, M.-J., Yuan, R.-X., Weng, H., Meng, X.-Y., Kwong, J. S. W., et al. (2017) · Sleep Medicine Reviews · doi:10.1016/j.smrv.2016.02.005 · Cited by 302
Healthy Lifestyle in the Primordial Prevention of Cardiovascular Disease Among Young Women
Chomistek, A. K., Chiuve, S. E., Eliassen, A. H., Mukamal, K. J., Willett, W. C., & Rimm, E. B. (2015) · Journal of the American College of Cardiology · doi:10.1016/j.jacc.2014.10.024 · Cited by 283
Mozaffarian, D., Lemaitre, R. N., King, I. B., Song, X., Huang, H., Sacks, F. M., Rimm, E. B., Wang, M., & Siscovick, D. S. (2013) · Annals of Internal Medicine · doi:10.7326/0003-4819-158-7-201304020-00003 · Cited by 283
Dietary fiber intake and risk of type 2 diabetes: a dose–response analysis of prospective studies
Yao, B., Fang, H., Xu, W., Yan, Y., Xu, H., Liu, Y., Mo, M., Zhang, H., & Zhao, Y. (2014) · European Journal of Epidemiology · doi:10.1007/s10654-013-9876-x · Cited by 281
Sun, Q., Cornelis, M. C., Townsend, M. K., Tobias, D. K., Eliassen, A. H., Franke, A. A., Hauser, R., & Hu, F. B. (2014) · Environmental Health Perspectives · doi:10.1289/ehp.1307201 · Cited by 274
Methodological challenges in the evaluation of prognostic factors in breast cancer.
Altman, D. G., & Lyman, G. H. (1998) · Breast Cancer Research and Treatment · doi:10.1023/a:1006193704132 · Cited by 271
Murphy, N., Norat, T., Ferrari, P., Jenab, M., Bueno-de-Mesquita, B., Skeie, G., Dahm, C. C., Overvad, K., Olsen, A., Tjønneland, A., et al. (2012) · PLoS ONE · doi:10.1371/journal.pone.0039361 · Cited by 271
Petrick, J. L., Campbell, P. T., Koshiol, J., Thistle, J. E., Andreotti, G., Beane-Freeman, L. E., Buring, J. E., Chan, A. T., Chong, D. Q., Doody, M. M., et al. (2018) · British Journal of Cancer · doi:10.1038/s41416-018-0007-z · Cited by 257
Leisure-time physical activity and reduced plasma levels of obesity-related inflammatory markers
Pischon, T., Hankinson, S. E., Hotamisligil, G. S., Rifai, N., & Rimm, E. B. (2003) · Obesity Research · doi:10.1038/oby.2003.145 · Cited by 245
Sodium excretion and the risk of cardiovascular disease in patients with chronic kidney disease
Mills, K. T., Chen, J., Yang, W., Appel, L. J., Kusek, J. W., Alper, A., Delafontaine, P., Keane, M. G., Mohler, E., Ojo, A., et al. (2016) · JAMA · doi:10.1001/jama.2016.4447 · Cited by 232
Son, J. S., Choi, S., Kim, K., Kim, S. M., Choi, D., Lee, G., Jeong, S.-M., Park, S. Y., Kim, Y.-Y., Yun, J.-M., et al. (2018) · JAMA · doi:10.1001/jama.2018.16501 · Cited by 225
Luo, D., Cheng, Y., Zhang, H., Ba, M., Chen, P., Li, H., Chen, K., Sha, W., Zhang, C., & Chen, H. (2020) · BMJ · doi:10.1136/bmj.m3222 · Cited by 234
Physical Activity and Heart Rate Variability in Older Adults: The Cardiovascular Health Study
Soares-Miranda, L., Sattelmair, J., Chaves, P., Duncan, G. E., Siscovick, D. S., Stein, P. K., & Mozaffarian, D. (2014) · Circulation · doi:10.1161/circulationaha.113.005361 · Cited by 228
Work characteristics and incidence of type 2 diabetes in women.
Kroenke, C. H., Spiegelman, D., Manson, J., Schernhammer, E. S., Colditz, G. A., & Kawachi, I. (2006) · American Journal of Epidemiology · doi:10.1093/aje/kwj355 · Cited by 220
Ananth, C. V., Oyelese, Y., Srinivas, N., Yeo, L., & Vintzileos, A. M. (2004) · Obstetrics & Gynecology · doi:10.1097/01.aog.0000128172.71408.a0 · Cited by 208
Fiber Intake and Survival After Colorectal Cancer Diagnosis
Song, M., Wu, K., Meyerhardt, J. A., Ogino, S., Wang, M., Fuchs, C. S., Giovannucci, E. L., & Chan, A. T. (2018) · JAMA Oncology · doi:10.1001/jamaoncol.2017.3684 · Cited by 197
Ananth, C. V., Demissie, K., Smulian, J. C., & Vintzileos, A. M. (2003) · American Journal of Obstetrics and Gynecology · doi:10.1067/mob.2003.10 · Cited by 201
Dietary fatty acid intakes and the risk of ovulatory infertility
Chavarro, J. E., Rich-Edwards, J. W., Rosner, B. A., & Willett, W. C. (2007) · The American Journal of Clinical Nutrition · doi:10.1093/ajcn/85.1.231 · Cited by 203
Fruit and vegetable intake and risk of breast cancer by hormone receptor status
Jung, S., Spiegelman, D., Baglietto, L., Bernstein, L., Boggs, D. A., van den Brandt, P. A., Buring, J. E., Cerhan, J. R., Gaudet, M. M., Giles, G. G., et al. (2013) · JNCI Journal of the National Cancer Institute · doi:10.1093/jnci/djs635 · Cited by 183
Shah, D. K., Correia, K. F., Vitonis, A. F., & Missmer, S. A. (2013) · Human Reproduction · doi:10.1093/humrep/det120 · Cited by 171
LaCroix, A. Z., Bellettiere, J., Rillamas-Sun, E., Di, C., Evenson, K. R., Lewis, C. E., Buchner, D. M., Stefanick, M. L., Lee, I.-M., Rosenberg, D. E., et al. (2019) · JAMA Network Open · doi:10.1001/jamanetworkopen.2019.0419 · Cited by 162
Ballon, A., Neuenschwander, M., & Schlesinger, S. (2019) · The Journal of Nutrition · doi:10.1093/jn/nxy194 · Cited by 161
Metabolic risk score and cancer risk: pooled analysis of seven cohorts
Stocks, T., Bjørge, T., Ulmer, H., Manjer, J., Häggström, C., Nagel, G., Engeland, A., Johansen, D., Hallmans, G., Selmer, R., et al. (2015) · International Journal of Epidemiology · doi:10.1093/ije/dyv001 · Cited by 146
The Relation of Physical Activity to Risk for Symptomatic Gallstone Disease in Men
Leitzmann, M. F., Giovannucci, E. L., Rimm, E. B., Stampfer, M. J., Spiegelman, D., Wing, A. L., & Willett, W. C. (1998) · Annals of Internal Medicine · doi:10.7326/0003-4819-128-6-199803150-00001 · Cited by 140
de Oliveira Otto, M. C., Nettleton, J. A., Lemaitre, R. N., M. Steffen, L., Kromhout, D., Rich, S. S., Y. Tsai, M., Jacobs, D. R., & Mozaffarian, D. (2013) · Journal of the American Heart Association · doi:10.1161/jaha.113.000092 · Cited by 135
Sleep duration and metabolic syndrome in adult populations: a meta-analysis of observational studies
Ju, S.-Y., & Choi, W.-S. (2013) · Nutrition & Diabetes · doi:10.1038/nutd.2013.8 · Cited by 130
Alcohol Intake and Renal Cell Cancer in a Pooled Analysis of 12 Prospective Studies
Lee, J. E., Hunter, D. J., Spiegelman, D., Adami, H.-O., Albanes, D., Bernstein, L., van den Brandt, P. A., Buring, J. E., Cho, E., Folsom, A. R., et al. (2007) · JNCI Journal of the National Cancer Institute · doi:10.1093/jnci/djk181 · Cited by 126
Urinary Melatonin Levels and Postmenopausal Breast Cancer Risk in the Nurses' Health Study Cohort
Schernhammer, E. S., & Hankinson, S. E. (2009) · Cancer Epidemiology, Biomarkers & Prevention · doi:10.1158/1055-9965.epi-08-0637 · Cited by 123
Adiposity and different types of screen time
Falbe, J., Rosner, B., Willett, W. C., Sonneville, K. R., Hu, F. B., & Field, A. E. (2013) · Pediatrics · doi:10.1542/peds.2013-0887 · Cited by 119
Brouwer, I. A., Raitt, M. H., Dullemeijer, C., Kraemer, D. F., Zock, P. L., Morris, C., Katan, M. B., Connor, W. E., Camm, J. A., Schouten, E. G., et al. (2008) · European Heart Journal · doi:10.1093/eurheartj/ehp003 · Cited by 120
Schuster, N. A., Rijnhart, J. J. M., Twisk, J. W. R., & Heymans, M. W. (2022) · Frontiers in Epidemiology · doi:10.3389/fepid.2022.975380 · Cited by 125
Fruit and vegetable consumption and risk of endometriosis
Harris, H. R., Eke, A. C., Chavarro, J. E., & Missmer, S. A. (2018) · Human Reproduction · doi:10.1093/humrep/dey014 · Cited by 109
Tea consumption and risk of type 2 diabetes: a dose–response meta-analysis of cohort studies
Yang, W.-S., Wang, W.-Y., Fan, W.-Y., Deng, Q., & Wang, X. (2014) · British Journal of Nutrition · doi:10.1017/s0007114513003887 · Cited by 103
Mendoza, K., Smith-Warner, S. A., Rossato, S. L., Khandpur, N., Manson, J. E., Qi, L., Rimm, E. B., Mukamal, K. J., Willett, W. C., Wang, M., et al. (2024) · The Lancet Regional Health - Americas · doi:10.1016/j.lana.2024.100859 · Cited by 101
Bezold, C. P., Banay, R. F., Coull, B. A., Hart, J. E., James, P., Kubzansky, L. D., Missmer, S. A., & Laden, F. (2018) · Annals of Epidemiology · doi:10.1016/j.annepidem.2018.01.009 · Cited by 98
The effect of temperature on mortality in rural Bangladesh—a population-based time-series study
Hashizume, M., Wagatsuma, Y., Hayashi, T., Saha, S. K., Streatfield, K., & Yunus, M. (2009) · International Journal of Epidemiology · doi:10.1093/ije/dyn376 · Cited by 98
Imano, H., Noda, H., Kitamura, A., Sato, S., Kiyama, M., Sankai, T., Ohira, T., Nakamura, M., Yamagishi, K., Ikeda, A., et al. (2011) · Preventive Medicine · doi:10.1016/j.ypmed.2011.02.019 · Cited by 97
Yeo, Y., Ma, S. H., Park, S. K., Chang, S.-H., Shin, H.-R., Kang, D., & Yoo, K.-Y. (2013) · Journal of Preventive Medicine & Public Health · doi:10.3961/jpmph.2013.46.5.271 · Cited by 96
The Role of Climate Variability in the Spread of Malaria in Bangladeshi Highlands
Haque, U., Hashizume, M., Glass, G. E., Dewan, A. M., Overgaard, H. J., & Yamamoto, T. (2010) · PLoS ONE · doi:10.1371/journal.pone.0014341 · Cited by 94
Serum Thyroid Function, Mortality and Disability in Advanced Old Age: The Newcastle 85+ Study
Pearce, S. H. S., Razvi, S., Yadegarfar, M. E., Martin-Ruiz, C., Kingston, A., Collerton, J., Visser, T. J., Kirkwood, T. B., & Jagger, C. (2016) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/jc.2016-1935 · Cited by 91
Accelerometer‐Measured Physical Activity and Mortality in Women Aged 63 to 99
LaMonte, M. J., Buchner, D. M., Rillamas‐Sun, E., Di, C., Evenson, K. R., Bellettiere, J., Lewis, C. E., Lee, I., Tinker, L. F., Seguin, R., et al. (2018) · Journal of the American Geriatrics Society · doi:10.1111/jgs.15201 · Cited by 94
Zhang, M., Mueller, N. T., Wang, H., Hong, X., Appel, L. J., & Wang, X. (2018) · Hypertension · doi:10.1161/hypertensionaha.117.10944 · Cited by 91
MOREY, M. C., PIEPER, C. F., & CORNONI-HUNTLEY, J. (1998) · Medicine& Science in Sports & Exercise · doi:10.1097/00005768-199808000-00007 · Cited by 85
Ambient heat and sudden infant death: a case-crossover study spanning 30 years in Montreal, Canada
Auger, N., Fraser, W. D., Smargiassi, A., & Kosatsky, T. (2015) · Environmental Health Perspectives · doi:10.1289/ehp.1307960 · Cited by 80
“…and 95% confidence intervals (CIs) for the association between maximum temperature of event days relative to temperatures of control days (each temper ature variable was modeled separately), and included spline terms with knots at the 10th, 50th, and 90th percentiles (Durrleman and Simon 1989).”
MethodProspective weight change and colon cancer risk in male US health professionals
Thygesen, L. C., Grønbæk, M., Johansen, C., Fuchs, C. S., Willett, W. C., & Giovannucci, E. (2008) · International Journal of Cancer · doi:10.1002/ijc.23612 · Cited by 78
“We also examined the possibly nonlinear relation between weight change and HR of colon cancer nonparametrically with restricted cubic splines.(34) Risk estimates for weight change modeled continuously were reported per 10 pounds (4.”
BackgroundHepcidin and ferritin blood level as noninvasive tools for predicting breast cancer
Orlandi, R., De Bortoli, M., Ciniselli, C. M., Vaghi, E., Caccia, D., Garrisi, V., Pizzamiglio, S., Veneroni, S., Bonini, C., Agresti, R., et al. (2014) · Annals of Oncology · doi:10.1093/annonc/mdt490 · Cited by 74
A comparison of methods to adjust for continuous covariates in the analysis of randomised trials
Kahan, B. C., Rushton, H., Morris, T. P., & Daniel, R. M. (2016) · BMC Medical Research Methodology · doi:10.1186/s12874-016-0141-3 · Cited by 74
Glucagon-like peptide 1 receptor agonists and the risk of incident diabetic retinopathy
Douros, A., Filion, K. B., Yin, H., Yu, O. H., Etminan, M., Udell, J. A., & Azoulay, L. (2018) · Diabetes Care · doi:10.2337/dc17-2280 · Cited by 70
Air pollution exposure and risk of spontaneous abortion in the Nurses’ Health Study II
Gaskins, A. J., Hart, J. E., Chavarro, J. E., Missmer, S. A., Rich-Edwards, J. W., Laden, F., & Mahalingaiah, S. (2019) · Human Reproduction · doi:10.1093/humrep/dez111 · Cited by 70
Schlesinger, S., Lieb, W., Koch, M., Fedirko, V., Dahm, C. C., Pischon, T., Nöthlings, U., Boeing, H., & Aleksandrova, K. (2015) · Obesity Reviews · doi:10.1111/obr.12286 · Cited by 70
Isanaka, S., Aboud, S., Mugusi, F., Bosch, R. J., Willett, W. C., Spiegelman, D., Duggan, C., & Fawzi, W. W. (2012) · PLoS ONE · doi:10.1371/journal.pone.0037350 · Cited by 67
HbA1c Measured in the First Trimester of Pregnancy and the Association with Gestational Diabetes
Hinkle, S. N., Tsai, M. Y., Rawal, S., Albert, P. S., & Zhang, C. (2018) · Scientific Reports · doi:10.1038/s41598-018-30833-8 · Cited by 57
Böhm, M., Schumacher, H., Teo, K. K., Lonn, E. M., Mahfoud, F., Ukena, C., Mann, J. F. E., Mancia, G., Redon, J., Schmieder, R. E., et al. (2020) · European Heart Journal · doi:10.1093/eurheartj/ehy808 · Cited by 55
Pre-pregnancy caffeine and caffeinated beverage intake and risk of spontaneous abortion
Gaskins, A. J., Rich-Edwards, J. W., Williams, P. L., Toth, T. L., Missmer, S. A., & Chavarro, J. E. (2018) · European Journal of Nutrition · doi:10.1007/s00394-016-1301-2 · Cited by 55
Pancreatic Cancer and Exposure to Dietary Nitrate and Nitrite in the NIH-AARP Diet and Health Study
Aschebrook-Kilfoy, B., Cross, A. J., Stolzenberg-Solomon, R. Z., Schatzkin, A., Hollenbeck, A. R., Sinha, R., & Ward, M. H. (2011) · American Journal of Epidemiology · doi:10.1093/aje/kwr092 · Cited by 53
Coffee Consumption and Risk of Colorectal Cancer: A Dose-Response Analysis of Observational Studies
Tian, C., Wang, W., Hong, Z., & Zhang, X. (2013) · Cancer Causes & Control · doi:10.1007/s10552-013-0200-6 · Cited by 51
Kitamura, A., Noda, H., Nakamura, M., Kiyama, M., Okada, T., Imano, H., Ohira, T., Sato, S., Yamagishi, K., & Iso, H. (2011) · Journal of Atherosclerosis and Thrombosis · doi:10.5551/jat.7237 · Cited by 51
Cai, X., Wang, C., Wang, S., Cao, G., Jin, C., Yu, J., Li, X., Yan, J., Wang, F., Yu, W., et al. (2015) · Asia Pacific Journal of Public Health · doi:10.1177/1010539514566742 · Cited by 47
Noda, H., Iso, H., Irie, F., Sairenchi, T., Ohtaka, E., & Ohta, H. (2010) · Journal of Internal Medicine · doi:10.1111/j.1365-2796.2009.02183.x · Cited by 48
Wang, Q., Sun, Y., Xu, Q., Liu, W., Wang, P., Yao, J., Zhao, A., Chen, Y., & Wang, W. (2022) · Nutrition Research · doi:10.1016/j.nutres.2021.12.006 · Cited by 49
MOHANTY, S., MOHANTY, P., DI BIASE, L., BAI, R., TRIVEDI, C., SANTANGELI, P., SANTORO, F., HONGO, R., HAO, S., BEHEIRY, S., et al. (2014) · Journal of Cardiovascular Electrophysiology · doi:10.1111/jce.12468 · Cited by 46
Coffee Consumption and Stomach Cancer Risk in a Cohort of Swedish Women
Larsson, S. C., Giovannucci, E., & Wolk, A. (2006) · International Journal of Cancer · doi:10.1002/ijc.22105 · Cited by 42
Infectious Disease Burden and the Risk of Alzheimer’s Disease: A Population-Based Study
Douros, A., Santella, C., Dell’Aniello, S., Azoulay, L., Renoux, C., Suissa, S., & Brassard, P. (2021) · Journal of Alzheimer's Disease · doi:10.3233/jad-201534 · Cited by 37
Association of resistance exercise with the incidence of hypercholesterolemia in men
Bakker, E. A., Lee, D.-C., Sui, X., Eijsvogels, T. M. H., Ortega, F. B., Lee, I.-M., Lavie, C. J., & Blair, S. N. (2018) · Mayo Clinic Proceedings · doi:10.1016/j.mayocp.2017.11.024 · Cited by 33
Common vaccines and the risk of incident dementia: a population-based cohort study
Douros, A., Ante, Z., Suissa, S., & Brassard, P. (2023) · The Journal of Infectious Diseases · doi:10.1093/infdis/jiac484 · Cited by 24
Schwingshackl, L., Chaimani, A., Bechthold, A., Iqbal, K., Stelmach-Mardas, M., Hoffmann, G., Schwedhelm, C., Schlesinger, S., & Boeing, H. (2016) · Systematic Reviews · doi:10.1186/s13643-016-0302-9 · Cited by 23
Predictive models for musculoskeletal injury risk: why statistical approach makes all the difference
Rhon, D. I., Teyhen, D. S., Collins, G. S., & Bullock, G. S. (2022) · BMJ Open Sport & Exercise Medicine · doi:10.1136/bmjsem-2022-001388 · Cited by 20
Dietary Omega-3 Fatty Acid Intake and Mortality in CKD Population: A 1999–2014 NHANES Analysis
Li, W.-L., Zhang, N.-H., Ge, S.-W., & Xu, G. (2021) · American Journal of Nephrology · doi:10.1159/000520027 · Cited by 16
A prospective study of treatments for cervical intraepithelial neoplasia and fecundability
Wise, L. A., Willis, S. K., Perkins, R. B., Wesselink, A. K., Klann, A., Crowe, H. M., Hahn, K. A., Mikkelsen, E. M., & Hatch, E. E. (2020) · American Journal of Obstetrics and Gynecology · doi:10.1016/j.ajog.2019.12.017 · Cited by 14
Metadata
- Authors
- Durrleman, S., & Simon, R.
- Venue
- Statistics in Medicine
- Publisher
- Wiley
- Published
- 1989-05
- Volume
- 8
- Issue
- 5
- Pages
- 551-561
- ISSN
- 0277-6715 (ISSN-L)
- 1097-0258
- OpenAlex
- W2098787760
- Cited by
- 2,689
- References
- 1
- FWCI
- 5.51
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.