Dangers of Using "Optimal" Cutpoints in the Evaluation of Prognostic Factors

Strengthening the Reporting of Observational Studies in Epidemiology (STROBE): Explanation and Elaboration

Vandenbroucke, J. P., von Elm, E., Altman, D. G., Gøtzsche, P. C., Mulrow, C. D., Pocock, S. J., Poole, C., Schlesselman, J. J., Egger, M., & Initiative, F. T. S. (2007) · PLoS Medicine · doi:10.1371/journal.pmed.0040297 · Cited by 8,613 · see citing works

Type, Density, and Location of Immune Cells Within Human Colorectal Tumors Predict Clinical Outcome

Galon, J., Costes, A., Sanchez-Cabo, F., Kirilovsky, A., Mlecnik, B., Lagorce-Pagès, C., Tosolini, M., Camus, M., Berger, A., Wind, P., et al. (2006) · Science · doi:10.1126/science.1129139 · Cited by 6,516 · see citing works

Transparent Reporting of a multivariable prediction model for Individual Prognosis Or Diagnosis (TRIPOD): Explanation and Elaboration

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 · see citing works

Strengthening the Reporting of Observational Studies in Epidemiology (STROBE): Explanation and Elaboration

Vandenbroucke, J. P., Elm, E. V., Altman, D. G., Gøtzsche, P. C., Mulrow, C. D., Pocock, S. J., Poole, C., Schlesselman, J. J., Egger, M., & initiative, F. T. S. (2007) · Annals of Internal Medicine · doi:10.7326/0003-4819-147-8-200710160-00010-w1 · Cited by 3,543 · see citing works

Strengthening the Reporting of Observational Studies in Epidemiology (STROBE): Explanation and elaboration

Vandenbroucke, J. P., von Elm, E., Altman, D. G., Gøtzsche, P. C., Mulrow, C. D., Pocock, S. J., Poole, C., Schlesselman, J. J., & Egger, M. (2014) · International Journal of Surgery · doi:10.1016/j.ijsu.2014.07.014 · Cited by 2,969 · see citing works

Strengthening the Reporting of Observational Studies in Epidemiology (STROBE): Explanation and Elaboration

Vandenbroucke, J. P., von Elm, E., Altman, D. G., Gøtzsche, P. C., Mulrow, C. D., Pocock, S. J., Poole, C., Schlesselman, J. J., & Egger, M. (2007) · Epidemiology · doi:10.1097/ede.0b013e3181577511 · Cited by 2,779 · see citing works

The cost of dichotomising continuous variables

Altman, D. G., & Royston, P. (2006) · BMJ · doi:10.1136/bmj.332.7549.1080 · Cited by 2,688 · see citing works

Dichotomizing continuous predictors in multiple regression: a bad idea

Royston, P., Altman, D. G., & Sauerbrei, W. (2006) · Statistics in Medicine · doi:10.1002/sim.2331 · Cited by 2,312 · see citing works

Reporting Recommendations for Tumor Marker Prognostic Studies (REMARK)

McShane, L. M., Altman, D. G., Sauerbrei, W., Taube, S. E., Gion, M., & Clark, G. M. (2005) · JNCI: Journal of the National Cancer Institute · doi:10.1093/jnci/dji237 · Cited by 2,162 · see citing works

PROBAST: A Tool to Assess Risk of Bias and Applicability of Prediction Model Studies: Explanation and Elaboration

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 · see citing works

REporting recommendations for tumour MARKer prognostic studies (REMARK).

for the Statistics Subcommittee of the NCI-EORTC Working Group on Cancer Diagnostics, McShane, L. M., Altman, D. G., Sauerbrei, W., Taube, S. E., Gion, M., & Clark, G. M. (2005) · British Journal of Cancer · doi:10.1038/sj.bjc.6602678 · Cited by 1,394 · see citing works

Model uncertainty, data mining and statistical inference

Chatfield, C. (1995) · Journal of the Royal Statistical Society. Series A (Statistics in Society) · doi:10.2307/2983440 · Cited by 1,103 · see citing works

The use of fractional polynomials to model continuous risk variables in epidemiology

Royston, P., Ambler, G., & Sauerbrei, W. (1999) · International Journal of Epidemiology · doi:10.1093/ije/28.5.964 · Cited by 1,066 · see citing works

Presence of B cells in tertiary lymphoid structures is associated with a protective immunity in patients with lung cancer

Germain, C., Gnjatic, S., Tamzalit, F., Knockaert, S., Remark, R., Goc, J., Lepelley, A., Becht, E., Katsahian, S., Bizouard, G., et al. (2014) · American Journal of Respiratory and Critical Care Medicine · doi:10.1164/rccm.201309-1611oc · Cited by 833 · see citing works

Prognosis Research Strategy (PROGRESS) 2: Prognostic Factor Research

Riley, R. D., Hayden, J. A., Steyerberg, E. W., Moons, K. G. M., Abrams, K., Kyzas, P. A., Malats, N., Briggs, A., Schroter, S., Altman, D. G., et al. (2013) · PLoS Medicine · doi:10.1371/journal.pmed.1001380 · Cited by 823 · see citing works

An Empirical Comparison of Model Validation Techniques for Defect Prediction Models

Tantithamthavorn, C., McIntosh, S., Hassan, A. E., & Matsumoto, K. (2017) · IEEE Transactions on Software Engineering · doi:10.1109/tse.2016.2584050 · Cited by 574 · see citing works

Issues in the reporting of epidemiological studies: a survey of recent practice.

Pocock, S. J., Collier, T. J., Dandreo, K. J., de Stavola, B. L., Goldman, M. B., Kalish, L. A., Kasten, L. E., & McCormack, V. A. (2004) · BMJ · doi:10.1136/bmj.38250.571088.55 · Cited by 313 · see citing works

Prognostic Value of Metabolic Tumor Volume and Total Lesion Glycolysis in Head and Neck Cancer: A Systematic Review and Meta-Analysis

Pak, K., Cheon, G. J., Nam, H.-Y., Kim, S.-J., Kang, K. W., Chung, J.-K., Kim, E. E., & Lee, D. S. (2014) · Journal of Nuclear Medicine · doi:10.2967/jnumed.113.133801 · Cited by 301 · see citing works

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 · see citing works

Distribution and Categorization of Echocardiographic Measurements in Relation to Reference Limits: The Framingham Heart Study: Formulation of a Height- and Sex-Specific Classification and Its Prospective Validation

Vasan, R. S., Larson, M. G., Levy, D., Evans, J. C., & Benjamin, E. J. (1997) · Circulation · doi:10.1161/01.cir.96.6.1863 · Cited by 248 · see citing works

Reporting methods in studies developing prognostic models in cancer: a review

Mallett, S., Royston, P., Dutton, S., Waters, R., & Altman, D. G. (2010) · BMC Medicine · doi:10.1186/1741-7015-8-20 · Cited by 206 · see citing works

Reporting performance of prognostic models in cancer: a review.

Mallett, S., Royston, P., Waters, R., Dutton, S., & Altman, D. G. (2010) · BMC Medicine · doi:10.1186/1741-7015-8-21 · Cited by 195 · see citing works

Quantifying the impact of different approaches for handling continuous predictors on the performance of a prognostic model

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 · see citing works

Patient-Level Meta-analysis: Effect of Measurement Timing, Threshold, and Patient Age on Ability of <scp>d</scp>-Dimer Testing to Assess Recurrence Risk After Unprovoked Venous Thromboembolism

Douketis, J., Tosetto, A., Marcucci, M., Baglin, T., Cushman, M., Eichinger, S., Palareti, G., Poli, D., Tait, R. C., & Iorio, A. (2010) · Annals of Internal Medicine · doi:10.7326/0003-4819-153-8-201010190-00009 · Cited by 175 · see citing works

Measurement in clinical trials: A neglected issue for statisticians?

Senn, S., & Julious, S. (2009) · Statistics in Medicine · doi:10.1002/sim.3603 · Cited by 136 · see citing works

Modeling non-linear relationships in epidemiological data: the application and interpretation of spline models.

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 · see citing works

Prognostic relevance of uPAR-del4/5 and TIMP-3 mRNA expression levels in breast cancer

Kotzsch, M., Farthmann, J., Meye, A., Fuessel, S., Baretton, G., Tjan-Heijnen, V. C. G., Schmitt, M., Luther, T., Sweep, F. C. G. J., Magdolen, V., et al. (2005) · European Journal of Cancer · doi:10.1016/j.ejca.2005.09.002 · Cited by 50 · see citing works

Predicting acute odynophagia during lung cancer radiotherapy using observations derived from patient-centred nursing care

Olling, K., Nyeng, D. W., & Wee, L. (2018) · Technical Innovations &amp; Patient Support in Radiation Oncology · doi:10.1016/j.tipsro.2018.01.002 · Cited by 24 · see citing works