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Regression Models in Clinical Studies: Determining Relationships Between Predictors and Response
Abstract
Multiple regression models are increasingly being applied to clinical studies. Such models are powerful analytic tools that yield valid statistical inferences and make reliable predictions if various assumptions are satisfied. Two types of assumptions made by regression models concern the distribution of the response variable and the nature or shape of the relationship between the predictors and the response. This paper addresses the latter assumption by applying a direct and flexible approach, cubic spline functions, to two widely used models: the logistic regression model for binary responses and the Cox proportional hazards regression model for survival time data.
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Moons, K. G. M., Altman, D. G., Reitsma, J. B., Ioannidis, J. P. A., Macaskill, P., Steyerberg, E. W., Vickers, A. J., Ransohoff, D. F., & Collins, G. S. (2015) · Annals of Internal Medicine · doi:10.7326/m14-0698 · Cited by 5,147
Chambless, L. E., Heiss, G., Folsom, A. R., Rosamond, W., Szklo, M., Sharrett, A. R., & Clegg, L. X. (1997) · American Journal of Epidemiology · doi:10.1093/oxfordjournals.aje.a009302 · Cited by 1,990
Moons, K. G. M., Wolff, R. F., Riley, R. D., Whiting, P. F., Westwood, M., Collins, G. S., Reitsma, J. B., Kleijnen, J., & Mallett, S. (2019) · Annals of Internal Medicine · doi:10.7326/m18-1377 · Cited by 1,669
Wang, X., Ouyang, Y., Liu, J., Zhu, M., Zhao, G., Bao, W., & Hu, F. B. (2014) · BMJ · doi:10.1136/bmj.g4490 · Cited by 1,596
BMI and all-cause mortality in older adults: a meta-analysis
Winter, J. E., MacInnis, R. J., Wattanapenpaiboon, N., & Nowson, C. A. (2014) · The American Journal of Clinical Nutrition · doi:10.3945/ajcn.113.068122 · Cited by 790
Meta-analyses of colorectal cancer risk factors
Johnson, C. M., Wei, C., Ensor, J. E., Smolenski, D. J., Amos, C. I., Levin, B., & Berry, D. A. (2013) · Cancer Causes & Control · doi:10.1007/s10552-013-0201-5 · Cited by 779
Dietary fibre intake and risk of cardiovascular disease: Systematic review and meta-analysis
Threapleton, D. E., Greenwood, D. C., Evans, C. E. L., Cleghorn, C. L., Nykjaer, C., Woodhead, C., Cade, J. E., Gale, C. P., & Burley, V. J. (2013) · BMJ · doi:10.1136/bmj.f6879 · Cited by 749
Chowdhury, R., Ramond, A., O’Keeffe, L. M., Shahzad, S., Kunutsor, S. K., Muka, T., Gregson, J., Willeit, P., Warnakula, S., Khan, H., et al. (2018) · BMJ · doi:10.1136/bmj.k3310 · Cited by 638
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
Li, M., Fan, Y., Zhang, X., Hou, W., & Tang, Z. (2014) · BMJ Open · doi:10.1136/bmjopen-2014-005497 · Cited by 417
Wang, X., Lin, X., Ouyang, Y. Y., Liu, J., Zhao, G., Pan, A., & Hu, F. B. (2016) · Public Health Nutrition · doi:10.1017/s1368980015002062 · Cited by 412
Austin, P. C., & Steyerberg, E. W. (2014) · Statistics in Medicine · doi:10.1002/sim.5941 · Cited by 362
Rong, Y., Chen, L., Zhu, T., Song, Y., Yu, M., Shan, Z., Sands, A., Hu, F. B., & Liu, L. (2013) · BMJ · doi:10.1136/bmj.e8539 · Cited by 364
Buxton, A. E., Lee, K. L., Hafley, G. E., Pires, L. A., Fisher, J. D., Gold, M. R., Josephson, M. E., Lehmann, M. H., & Prystowsky, E. N. (2007) · Journal of the American College of Cardiology · doi:10.1016/j.jacc.2007.04.095 · Cited by 356
Self-citationFish consumption and CHD mortality: an updated meta-analysis of seventeen cohort studies.
Zheng, J., Huang, T., Yu, Y., Hu, X., Yang, B., & Li, D. (2012) · Public Health Nutrition · doi:10.1017/s1368980011002254 · Cited by 311
Amount and Intensity of Leisure-Time Physical Activity and Lower Cancer Risk
Matthews, C. E., Moore, S. C., Arem, H., Cook, M. B., Trabert, B., Håkansson, N., Larsson, S. C., Wolk, A., Gapstur, S. M., Lynch, B. M., et al. (2020) · Journal of Clinical Oncology · doi:10.1200/jco.19.02407 · Cited by 294
“Statistical significance of the overall association and for nonlinearity of the risk curves was evaluated with likelihood ratio tests.(27,29) We evaluated the role of BMI by fitting models with and without BMI and tested for interactions by sex using cross-product terms.”
Assessing the incremental value of diagnostic and prognostic markers: a review and illustration
Steyerberg, E. W., Pencina, M. J., Lingsma, H. F., Kattan, M. W., Vickers, A. J., & Van Calster, B. (2012) · European Journal of Clinical Investigation · doi:10.1111/j.1365-2362.2011.02562.x · Cited by 219
Yin, J., Zhu, Y., Malik, V., Li, X., Peng, X., Zhang, F. F., Shan, Z., & Liu, L. (2021) · Advances in Nutrition · doi:10.1093/advances/nmaa084 · Cited by 197
Coffee Consumption and Risk of Stroke: A Dose-Response Meta-Analysis of Prospective Studies
Larsson, S. C., & Orsini, N. (2011) · American Journal of Epidemiology · doi:10.1093/aje/kwr226 · Cited by 196
Collins, G. S., Ogundimu, E. O., Cook, J. A., Manach, Y. L., & Altman, D. G. (2016) · Statistics in Medicine · doi:10.1002/sim.6986 · Cited by 185
Fang, X., Han, D., Cheng, Q., Zhang, P., Zhao, C., Min, J., & Wang, F. (2018) · JAMA Network Open · doi:10.1001/jamanetworkopen.2018.2421 · Cited by 171
Diabetes, weight change, and pancreatic cancer risk
Yuan, C., Babic, A., Khalaf, N., Nowak, J. A., Brais, L. K., Rubinson, D. A., Ng, K., Aguirre, A. J., Pandharipande, P. V., Fuchs, C. S., et al. (2020) · JAMA Oncology · doi:10.1001/jamaoncol.2020.2948 · Cited by 150
Role of semen analysis in subfertile couples
van der Steeg, J. W., Steures, P., Eijkemans, M. J. C., F. Habbema, J. D., Hompes, P. G. A., Kremer, J. A. M., van der Leeuw-Harmsen, L., Bossuyt, P. M. M., Repping, S., Silber, S. J., et al. (2011) · Fertility and Sterility · doi:10.1016/j.fertnstert.2010.02.024 · Cited by 150
Lycopene and Risk of Prostate Cancer: A Systematic Review and Meta-Analysis
Chen, P., Zhang, W., Wang, X., Zhao, K., Negi, D. S., Zhuo, L., Qi, M., Wang, X., & Zhang, X. (2015) · Medicine · doi:10.1097/md.0000000000001260 · Cited by 143
Zhou, D., Yu, H., He, F., Reilly, K. H., Zhang, J., Li, S., Zhang, T., Wang, B., Ding, Y., & Xi, B. (2014) · The American Journal of Clinical Nutrition · doi:10.3945/ajcn.113.079152 · Cited by 137
Li, W., Wang, D., Cao, S., Yin, X., Gong, Y., Gan, Y., Zhou, Y., & Lu, Z. (2016) · International Journal of Cardiology · doi:10.1016/j.ijcard.2016.08.302 · Cited by 130
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
Cologne, J., Hsu, W.-L., Abbott, R. D., Ohishi, W., Grant, E. J., Fujiwara, S., & Cullings, H. M. (2012) · Epidemiology · doi:10.1097/ede.0b013e318253e418 · Cited by 127
Understanding infidelity: Correlates in a national random sample.
Atkins, D. C., Baucom, D. H., & Jacobson, N. S. (2001) · Journal of Family Psychology · doi:10.1037/0893-3200.15.4.735 · Cited by 458
Li, B., Lv, J., Wang, W., & Zhang, D. (2017) · Australian & New Zealand Journal of Psychiatry · doi:10.1177/0004867416676895 · Cited by 84
Long-chain omega-3 polyunsaturated fatty acids and risk of stroke: a meta-analysis
Larsson, S. C., Orsini, N., & Wolk, A. (2012) · European Journal of Epidemiology · doi:10.1007/s10654-012-9748-9 · Cited by 73
Milajerdi, A., Abbasi, F., Mousavi, S. M., & Esmaillzadeh, A. (2021) · Clinical Nutrition · doi:10.1016/j.clnu.2021.03.037 · Cited by 64
Lv, Q.-B., Fu, X., Jin, H.-M., Xu, H.-C., Huang, Z.-Y., Xu, H.-Z., Chi, Y.-L., & Wu, A.-M. (2015) · Scientific Reports · doi:10.1038/srep16030 · Cited by 38
Poupon, C., Owen, C., Arfi, A., Cohen, J., Bendifallah, S., & Daraï, E. (2019) · European Journal of Obstetrics & Gynecology and Reproductive Biology: X · doi:10.1016/j.eurox.2019.100028 · Cited by 31
Association Between Subclinical Thyroid Dysfunction and Fracture Risk
Daya, N. R., Fretz, A., Martin, S. S., Lutsey, P. L., Echouffo-Tcheugui, J. B., Selvin, E., & Juraschek, S. P. (2022) · JAMA Network Open · doi:10.1001/jamanetworkopen.2022.40823 · Cited by 18
van Leeuwen, N., Lingsma, H. F., de Craen, A. J. M., Nieboer, D., Mooijaart, S. P., Richard, E., & Steyerberg, E. W. (2016) · Epidemiology · doi:10.1097/ede.0000000000000486 · Cited by 17
Yang, J., Wang, T., Li, K., & Wāng, Y. (2025) · Journal of Advanced Research · doi:10.1016/j.jare.2024.04.022 · Cited by 15
The association between gestational weight gain z-score and stillbirth: a case-control study
Pickens, C. M., Hogue, C. J., Howards, P. P., Kramer, M. R., Badell, M. L., Dudley, D. J., Silver, R. M., Goldenberg, R. L., Pinar, H., Saade, G. R., et al. (2019) · BMC Pregnancy and Childbirth · doi:10.1186/s12884-019-2595-x · Cited by 11
Periconceptional dietary quality and metabolic syndrome at 3 years postpartum
Bodnar, L. M., Jin, Q., Naimi, A. I., Simhan, H. N., Catov, J. M., Parisi, S. M., & Kirkpatrick, S. I. (2024) · Journal of the American Heart Association · doi:10.1161/jaha.124.035555 · Cited by 5
In Pursuit of Innocence: A Study of Race and Ethnicity Differences in Time-to-Exoneration
Braden, V. E. (2024) · The Wrongful Conviction Law Review · doi:10.29173/wclawr113 · Cited by 3
Consonni, D., D’Errico, A., & Merletti, F. (2025) · Handbook of Epidemiology · doi:10.1007/978-1-4614-6625-3_24-1 · Cited by 3
Harrell, F., Jr. (1996) · doi:10.1002/(sici)1097-0258(19960229)15:4<361::aid-sim168>3.0.co;2-4
Metadata
- Authors
- Harre, F. E., Lee, K. L., & Pollock, B. G.
- Venue
- JNCI Journal of the National Cancer Institute
- Publisher
- Oxford University Press (OUP)
- Published
- 1988-10-05
- Volume
- 80
- Issue
- 15
- Pages
- 1198-1202
- ISSN
- 0027-8874 (ISSN-L)
- 1460-2105
- OpenAlex
- W2172227211
- Cited by
- 957
- References
- 0
- FWCI
- 3.95
- Type
- journal article
- Language
- en
- Open access
- closed
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