The DOI matches its Crossref record.
Applied logistic regression
Abstract
A new edition of the definitive guide to logistic regression modeling for health science and other applications This thoroughly expanded Third Edition provides an easily accessible introduction to the logistic regression (LR) model and highlights the power of this model by examining the relationship between a dichotomous outcome and a set of covariables. Applied Logistic Regression, Third Edition emphasizes applications in the health sciences and handpicks topics that best suit the use of modern statistical software. The book provides readers with state-of-
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“This sample size was chosen taking into account approximate sample size estimation criteria [38,39]. We worked with the criteria that 10 subjects would be needed per parameter included in a statistical model used to adjust for confounding.”
From Relationships, love and sexuality: what the Filipino teens think and feel (2009) · cites this paper as [39]
Citations
Cites
Still being checked.
Cited by
Sorted by citations
Barredo Arrieta, A., Díaz-Rodríguez, N., Del Ser, J., Bennetot, A., Tabik, S., Barbado, A., Garcia, S., Gil-Lopez, S., Molina, D., Benjamins, R., et al. (2020) · Information Fusion · doi:10.1016/j.inffus.2019.12.012 · Cited by 10,423
Kessler, R. C., Berglund, P., Demler, O., Jin, R., Koretz, D., Merikangas, K. R., Rush, A. J., Walters, E. E., & Wang, P. S. (2003) · JAMA · doi:10.1001/jama.289.23.3095 · Cited by 7,988
Le Gall, J.-R. (1993) · JAMA: The Journal of the American Medical Association · doi:10.1001/jama.270.24.2957 · Cited by 7,773
Model Selection and Estimation in Regression with Grouped Variables
Yuan, M., & Lin, Y. (2006) · Journal of the Royal Statistical Society Series B: Statistical Methodology · doi:10.1111/j.1467-9868.2005.00532.x · Cited by 7,261
A review of methods for the assessment of prediction errors in conservation presence/absence models
FIELDING, A. H., & BELL, J. F. (1997) · Environmental Conservation · doi:10.1017/s0376892997000088 · Cited by 6,956
Pencina, M. J., D' Agostino, R. B., D' Agostino, R. B., & Vasan, R. S. (2008) · Statistics in Medicine · doi:10.1002/sim.2929 · Cited by 6,493
Hospital Nurse Staffing and Patient Mortality, Nurse Burnout, and Job Dissatisfaction
Aiken, L. H. (2002) · JAMA · doi:10.1001/jama.288.16.1987 · Cited by 5,226
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
The prevalence and correlates of eating disorders in the National Comorbidity Survey Replication
Hudson, J. I., Hiripi, E., Pope, H. G., & Kessler, R. C. (2007) · Biological Psychiatry · doi:10.1016/j.biopsych.2006.03.040 · Cited by 4,973
Edwards, J. R., & Lambert, L. S. (2007) · Psychological Methods · doi:10.1037/1082-989x.12.1.1 · Cited by 4,711
Causation, Prediction, and Search
Spirtes, P., Glymour, C., & Scheines, R. (1993) · Lecture Notes in Statistics · doi:10.1007/978-1-4612-2748-9 · Cited by 4,617
The Handbook of Research Synthesis and Meta-Analysis
(2019) · doi:10.7758/9781610448864 · Cited by 4,553
Lebreton, J., Burnham, K. P., Clobert, J., & Anderson, D. R. (1992) · Ecological Monographs · doi:10.2307/2937171 · Cited by 4,459
Receiver Operating Characteristic Curve in Diagnostic Test Assessment
Mandrekar, J. N. (2010) · Journal of Thoracic Oncology · doi:10.1097/jto.0b013e3181ec173d · Cited by 4,506
Meta-Analysis of Theory-of-Mind Development: The Truth about False Belief
Wellman, H. M., Cross, D., & Watson, J. (2001) · Child Development · doi:10.1111/1467-8624.00304 · Cited by 4,476
Zhang, J., & Yu, K. F. (1998) · JAMA · doi:10.1001/jama.280.19.1690 · Cited by 4,138
Purposeful selection of variables in logistic regression
Bursac, Z., Gauss, C. H., Williams, D. K., & Hosmer, D. W. (2008) · Source Code for Biology and Medicine · doi:10.1186/1751-0473-3-17 · Cited by 4,035
Self-citationUnbiased Recursive Partitioning: A Conditional Inference Framework
Hothorn, T., Hornik, K., & Zeileis, A. (2006) · Journal of Computational and Graphical Statistics · doi:10.1198/106186006x133933 · Cited by 4,021
Race, Breast Cancer Subtypes, and Survival in the Carolina Breast Cancer Study
Carey, L., Perou, C. M., Livasy, C., Dressler, L. G., Cowan, D., Conway, K., Karaca, G., Troester, M. A., Tse, C. K., Edmiston, S. N., et al. (2006) · JAMA · doi:10.1001/jama.295.21.2492 · Cited by 3,888
Risk Factors for Hip Fracture in White Women
Cummings, S. R., Nevitt, M. C., Browner, W. S., Stone, K., Fox, K. M., Ensrud, K. E., Cauley, J., Black, D., & Vogt, T. M. (1995) · New England Journal of Medicine · doi:10.1056/nejm199503233321202 · Cited by 3,595
AUC: A misleading measure of the performance of predictive distribution models
Lobo, J. M., Jiménez‐Valverde, A., & Real, R. (2008) · Global Ecology and Biogeography · doi:10.1111/j.1466-8238.2007.00358.x · Cited by 3,499
On hyperparameter optimization of machine learning algorithms: Theory and practice
Yang, L., & Shami, A. A. (2020) · Neurocomputing · doi:10.1016/j.neucom.2020.07.061 · Cited by 3,530
The TIMI Risk Score for Unstable Angina/Non–ST Elevation MI
Antman, E. M., Cohen, M. C., Bernink, P. J. L. M., McCabe, C. H., Horacek, T., Papuchis, G., Mautner, B., Corbalán, R., Radley, D. R., & Braunwald, E. (2000) · JAMA · doi:10.1001/jama.284.7.835 · Cited by 3,221
Bedogni, G., Bellentani, S., Miglioli, L., Masutti, F., Passalacqua, M., Castiglione, A., & Tiribelli, C. (2006) · BMC Gastroenterology · doi:10.1186/1471-230x-6-33 · Cited by 3,146
Andrén, H., & Andrén, H. (1994) · Oikos · doi:10.2307/3545823 · Cited by 3,038
ADOLESCENT RESILIENCE: A Framework for Understanding Healthy Development in the Face of Risk
Fergus, S., & Zimmerman, M. A. (2004) · Annual Review of Public Health · doi:10.1146/annurev.publhealth.26.021304.144357 · Cited by 3,243
Evaluating non-randomised intervention studies
Deeks, J., Dinnes, J., D'Amico, R., Sowden, A., Sakarovitch, C., Song, F., Petticrew, M., & Altman, D. (2003) · Health Technology Assessment · doi:10.3310/hta7270 · Cited by 2,907
Martin, L., Birdsell, L., Macdonald, N., Reiman, T., Clandinin, M. T., McCargar, L. J., Murphy, R. A., Ghosh, S., Sawyer, M. B., & Baracos, V. E. (2013) · Journal of Clinical Oncology · doi:10.1200/jco.2012.45.2722 · Cited by 2,761
Wang, P. S., Lane, M., Olfson, M., Pincus, H. A., Wells, K. B., & Kessler, R. C. (2005) · Archives of General Psychiatry · doi:10.1001/archpsyc.62.6.629 · Cited by 2,695
An Introduction to Logistic Regression Analysis and Reporting
Peng, C.-Y. J., Lee, K. L., & Ingersoll, G. M. (2002) · The Journal of Educational Research · doi:10.1080/00220670209598786 · Cited by 2,671
Evaluating resource selection functions
Boyce, M. S., Vernier, P. R., Nielsen, S. E., & Schmiegelow, F. K. A. (2002) · Ecological Modelling · doi:10.1016/s0304-3800(02)00200-4 · Cited by 2,628
Complications of Endoscopic Biliary Sphincterotomy
Freeman, M. L., Nelson, D. B., Sherman, S., Haber, G. B., Herman, M. E., Dorsher, P. J., Moore, J. P., Fennerty, M. B., Ryan, M. E., Shaw, M. J., et al. (1996) · New England Journal of Medicine · doi:10.1056/nejm199609263351301 · Cited by 2,535
New ICD-10 version of the Charlson comorbidity index predicted in-hospital mortality
Sundararajan, V., Henderson, T., Perry, C., Muggivan, A., Quan, H., & Ghali, W. A. (2004) · Journal of Clinical Epidemiology · doi:10.1016/j.jclinepi.2004.03.012 · Cited by 2,439
Guisan, A., Edwards, T. C., & Hastie, T. (2002) · Ecological Modelling · doi:10.1016/s0304-3800(02)00204-1 · Cited by 2,356
Boney, C. M., Verma, A., Tucker, R., & Vohr, B. R. (2005) · Pediatrics · doi:10.1542/peds.2004-1808 · Cited by 2,303
Initial human and financial capital as predictors of new venture performance
Cooper, A. C., Gimeno, J., & Woo, C. Y. (1994) · Journal of Business Venturing · doi:10.1016/0883-9026(94)90013-2 · Cited by 2,300
The measurement of effort–reward imbalance at work: European comparisons
Siegrist, J., Starke, D., Chandola, T., Godin, I., Marmot, M. G., Niedhammer, I., & Peter, R. (2003) · Social Science & Medicine · doi:10.1016/s0277-9536(03)00351-4 · Cited by 2,418
The world health organization composite international diagnostic interview short-form (CIDI-SF)
Kessler, R. C., Andrews, G., Mroczek, D., Ustun, B., & Wittchen, H. (1998) · International Journal of Methods in Psychiatric Research · doi:10.1002/mpr.47 · Cited by 2,242
Kessler, R. (1993) · Journal of Affective Disorders · doi:10.1016/0165-0327(93)90026-g · Cited by 2,207
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
The Smartphone addiction scale: development and validation of a short version for adolescents
Kwon, M., Kim, D.-J., Cho, H., & Yang, S. (2013) · PLoS ONE · doi:10.1371/journal.pone.0083558 · Cited by 2,177
Logistic regression and Artificial Neural Network Classification models: A methodology review
Dreiseitl, S., & Ohno-Machado, L. (2002) · Journal of Biomedical Informatics · doi:10.1016/s1532-0464(03)00034-0 · Cited by 2,177
Tinetti, M. E., Baker, D. I., McAvay, G., Claus, E. B., Garrett, P., Gottschalk, M., Koch, M. L., Trainor, K. M., & Horwitz, R. I. (1994) · New England Journal of Medicine · doi:10.1056/nejm199409293311301 · Cited by 2,160
Metabolic Syndrome as a Precursor of Cardiovascular Disease and Type 2 Diabetes Mellitus
Wilson, P. W. F., D’Agostino, R. B., Parise, H., SULLIVAN, L. M., & Meigs, J. B. (2005) · Circulation · doi:10.1161/circulationaha.105.539528 · Cited by 2,050
Pain and Its Treatment in Outpatients with Metastatic Cancer
Cleeland, C. S., Gonin, R., Hatfield, A. K., Edmonson, J. H., Blum, R. H., Stewart, J. A., & Pandya, K. J. (1994) · New England Journal of Medicine · doi:10.1056/nejm199403033300902 · Cited by 2,019
Ogden, C. L., Kuczmarski, R. J., Flegal, K. M., Mei, Z., Guo, S. S., Wei, R. X., Grummer‐Strawn, L. M., Curtin, L. R., Roche, A. F., & Johnson, C. L. (2002) · PEDIATRICS · doi:10.1542/peds.109.1.45 · Cited by 2,017
Hilbe, J. M. (2007) · Cambridge University Press eBooks · doi:10.1017/cbo9780511811852.007 · Cited by 1,998
Not just for the money: an economic theory of personal motivation
(1997) · Choice Reviews Online · doi:10.5860/choice.35-1009 · Cited by 1,956
How Big is a Big Odds Ratio? Interpreting the Magnitudes of Odds Ratios in Epidemiological Studies
Chen, H., Cohen, P., & Chen, S. (2010) · Communications in Statistics - Simulation and Computation · doi:10.1080/03610911003650383 · Cited by 1,952
Heart-rate Recovery Immediately After Exercise as a Predictor of Mortality
Cole, C. R., Blackstone, E. H., Pashkow, F. J., Snader, C. E., & Lauer, M. S. (1999) · New England Journal of Medicine · doi:10.1056/nejm199910283411804 · Cited by 1,935
Ritchie, M. D., Hahn, L. W., Roodi, N., Bailey, L., Dupont, W. D., Parl, F. F., & Moore, J. H. (2001) · The American Journal of Human Genetics · doi:10.1086/321276 · Cited by 1,899
Adverse Cerebral Outcomes after Coronary Bypass Surgery
Roach, G. W., Kanchuger, M., Mangano, C. M., Newman, M., Nussmeier, N., Wolman, R., Aggarwal, A., Marschall, K., Graham, S. H., Ley, C., et al. (1996) · New England Journal of Medicine · doi:10.1056/nejm199612193352501 · Cited by 1,860
Sleep disturbance and psychiatric disorders: A longitudinal epidemiological study of young Adults
Breslau, N., Roth, T., Rosenthal, L., & Andreski, P. (1996) · Biological Psychiatry · doi:10.1016/0006-3223(95)00188-3 · Cited by 1,831
Prevalence of age-related maculopathy
Klein, R., Klein, B. E. K., & Linton, K. L. P. (1992) · Ophthalmology · doi:10.1016/s0161-6420(92)31871-8 · Cited by 1,845
Predicting chemotherapy toxicity in older adults with cancer: a prospective multicenter study
Hurria, A., Togawa, K., Mohile, S. G., Owusu, C., Klepin, H. D., Gross, C. P., Lichtman, S. M., Gajra, A., Bhatia, S., Katheria, V., et al. (2011) · Journal of Clinical Oncology · doi:10.1200/jco.2011.34.7625 · Cited by 1,841
Replication validity of genetic association studies
Ioannidis, J. P. A., Ntzani, E., Trikalinos, T. A., & Contopoulos‐Ioannidis, D. G. (2001) · Nature Genetics · doi:10.1038/ng749 · Cited by 1,834
Circulating concentrations of insulin-like growth factor I and risk of breast cancer
Hankinson, S. E., Willett, W. C., Colditz, G. A., Hunter, D. J., Michaud, D. S., Deroo, B. J., ROSNER, B. A., Speizer, F. E., & Pollak, M. (1998) · The Lancet · doi:10.1016/s0140-6736(97)10384-1 · Cited by 1,822
Tu, J. V. (1996) · Journal of Clinical Epidemiology · doi:10.1016/s0895-4356(96)00002-9 · Cited by 1,818
Use of Colonoscopy to Screen Asymptomatic Adults for Colorectal Cancer
Lieberman, D. A., Weiss, D. G., Bond, J. H., Ahnen, D. J., Garewal, H. S., Harford, W. V., Provenzale, D., SONTAG, S., Schnell, T., Durbin, T. E., et al. (2000) · New England Journal of Medicine · doi:10.1056/nejm200007203430301 · Cited by 1,810
Graph embedding techniques, applications, and performance: A survey
Goyal, P., & Ferrara, E. (2018) · Knowledge-Based Systems · doi:10.1016/j.knosys.2018.03.022 · Cited by 1,801
Detecting Multicollinearity in Regression Analysis
Shrestha, N. (2020) · American Journal of Applied Mathematics and Statistics · doi:10.12691/ajams-8-2-1 · Cited by 1,800
Hunter, D. R., & Lange, K. L. (2004) · The American Statistician · doi:10.1198/0003130042836 · Cited by 1,789
Plasma Adiponectin Levels and Risk of Myocardial Infarction in Men
Pischon, T. (2004) · JAMA · doi:10.1001/jama.291.14.1730 · Cited by 1,782
Hippisley-Cox, J., Coupland, C., & Brindle, P. (2017) · BMJ · doi:10.1136/bmj.j2099 · Cited by 1,703
Zimmerman, J. E., Kramer, A. A., McNair, D. S., & Malila, F. M. (2006) · Critical Care Medicine · doi:10.1097/01.ccm.0000215112.84523.f0 · Cited by 1,764
The Timing of Prophylactic Administration of Antibiotics and the Risk of Surgical-Wound Infection
Classen, D. C., Evans, R. S., Pestotnik, S. L., Horn, S. D., Menlove, R. L., & Burke, J. P. (1992) · New England Journal of Medicine · doi:10.1056/nejm199201303260501 · Cited by 1,734
A validation of object-oriented design metrics as quality indicators
Basili, V. R., Briand, L., & Melo, W. L. (1996) · IEEE Transactions on Software Engineering · doi:10.1109/32.544352 · Cited by 1,730
Psychological Stress and Susceptibility to the Common Cold
Cohen, S., Tyrrell, D. A. J., & Smith, A. P. (1991) · New England Journal of Medicine · doi:10.1056/nejm199108293250903 · Cited by 1,712
Prevalence of Celiac Disease in At-Risk and Not-At-Risk Groups in the United States
Fasano, A., Berti, I., Gerarduzzi, T., Not, T., Colletti, R. B., Drago, S., Elitsur, Y., Green, P. H. R., Guandalini, S., Hill, I. D., et al. (2003) · Archives of Internal Medicine · doi:10.1001/archinte.163.3.286 · Cited by 1,702
Merlo, J., Chaix, B., Ohlsson, H., Beckman, A., Johnell, K., Hjerpe, P., Råstam, L., & Larsen, K. (2006) · Journal of Epidemiology & Community Health · doi:10.1136/jech.2004.029454 · Cited by 1,682
Acute Renal Failure After Coronary Intervention
McCullough, P. A., Wolyn, R., Rocher, L. L., Levin, R. N., & O’Neill, W. W. (1997) · The American Journal of Medicine · doi:10.1016/s0002-9343(97)00150-2 · Cited by 1,667
Understanding the minimum clinically important difference: A review of concepts and methods
Copay, A. G., Subach, B. R., Glassman, S. D., Polly, D. W., & Schuler, T. C. (2007) · The Spine Journal · doi:10.1016/j.spinee.2007.01.008 · Cited by 1,662
EXPERT SYSTEMS WITH APPLICATIONS
Communication, S., Been-chian Chien, A., Jung Yi Lin, A., Tzung-pei Hong, B., & Com/locate/eswa, W. E. (2004) · Expert Systems with Applications · doi:10.1016/j.eswa.2004.10.010 · Cited by 1,670
Comparing different supervised machine learning algorithms for disease prediction
Uddin, S., Khan, A. M., Hossain, M. E., & Moni, M. A. (2019) · BMC Medical Informatics and Decision Making · doi:10.1186/s12911-019-1004-8 · Cited by 1,759
Alba, A. C., Agoritsas, T., Walsh, M., Hanna, S., Iorio, A., Devereaux, P. J., McGinn, T., & Guyatt, G. (2017) · JAMA · doi:10.1001/jama.2017.12126 · Cited by 1,631
Lee, J., Wu, F., Zhao, W., Ghaffari, M., Liao, L., & Siegel, D. (2013) · Mechanical Systems and Signal Processing · doi:10.1016/j.ymssp.2013.06.004 · Cited by 1,723
Byrd, J. C. (2002) · Blood · doi:10.1182/blood-2002-03-0772 · Cited by 1,594
A controlled trial of sustained-release bupropion, a nicotine patch, or both for smoking cessation
Jorenby, D. E., Leischow, S. J., Nides, M. A., Rennard, S. I., Johnston, J. A., Hughes, A. R., Smith, S. S., Muramoto, M. L., Daughton, D. M., Doan, K., et al. (1999) · New England Journal of Medicine · doi:10.1056/nejm199903043400903 · Cited by 1,585
Corporate Governance and Accounting Scandals
Agrawal, A., & Chadha, S. (2005) · The Journal of Law and Economics · doi:10.1086/430808 · Cited by 1,528
Citron, M. L., Berry, D. A., Cirrincione, C., Hudis, C. A., Winer, E. P., Gradishar, W. J., Davidson, N. E., Martino, S., Livingston, R. B., Ingle, J. N., et al. (2003) · Journal of Clinical Oncology · doi:10.1200/jco.2003.09.081 · Cited by 1,564
Hachamovitch, R., Hayes, S. W., Friedman, J. D., Cohen, I., & Berman, D. S. (2003) · Circulation · doi:10.1161/01.cir.0000072790.23090.41 · Cited by 1,556
Depression and 18-Month Prognosis After Myocardial Infarction
Frasure‐Smith, N., Lespérance, F., & Talajic, M. R. (1995) · Circulation · doi:10.1161/01.cir.91.4.999 · Cited by 1,546
Global prevalence of anxiety disorders: a systematic review and meta-regression
Baxter, A. J., Scott, K. M., Vos, T., & Whiteford, H. A. (2013) · Psychological Medicine · doi:10.1017/s003329171200147x · Cited by 1,537
Willum Hansen, T., Staessen, J. A., Torp-Pedersen, C., Rasmussen, S., Thijs, L., Ibsen, H., & Jeppesen, J. (2006) · Circulation · doi:10.1161/circulationaha.105.579342 · Cited by 1,515
Decision combination in multiple classifier systems
Ho, T. K., Hull, J. J., & Srihari, S. N. (1994) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/34.273716 · Cited by 1,515
Prognosis and prognostic research: validating a prognostic model
Altman, D. G., Vergouwe, Y., Royston, P., & Moons, K. G. M. (2009) · BMJ · doi:10.1136/bmj.b605 · Cited by 1,436
Plasma MicroRNA Profiling Reveals Loss of Endothelial MiR-126 and Other MicroRNAs in Type 2 Diabetes
Zampetaki, A., Kiechl, S., Drozdov, I., Willeit, P., Mayr, U., Prokopi, M., Mayr, A., Weger, S., Oberhollenzer, F., Bonora, E., et al. (2010) · Circulation Research · doi:10.1161/circresaha.110.226357 · Cited by 1,283
DURÁN, J., ESNAOLA, S., RUBIO, R., & IZTUETA, Á. (2001) · American Journal of Respiratory and Critical Care Medicine · doi:10.1164/ajrccm.163.3.2005065 · Cited by 1,407
Owen, W. F., Lew, N. L., Liu, Y., Lowrie, E. G., & Lazarus, J. M. (1993) · New England Journal of Medicine · doi:10.1056/nejm199309303291404 · Cited by 1,396
Agrawal, A., & Choudhary, A. (2016) · APL Materials · doi:10.1063/1.4946894 · Cited by 1,385
Jiménez, D. (2010) · Archives of Internal Medicine · doi:10.1001/archinternmed.2010.199 · Cited by 1,354
Precipitating Factors for Delirium in Hospitalized Elderly Persons
Inouye, S. K. (1996) · JAMA · doi:10.1001/jama.1996.03530350034031 · Cited by 1,430
Paterno, M. V., Schmitt, L. C., Ford, K. R., Rauh, M. J., Myer, G. D., Huang, B., & Hewett, T. E. (2010) · The American Journal of Sports Medicine · doi:10.1177/0363546510376053 · Cited by 1,361
A new approach to cross-modal multimedia retrieval
Rasiwasia, N., Pereira, J. C., Coviello, E., Doyle, G., Lanckriet, G. R. G., Lévy, R., & Vasconcelos, N. M. (2010) · ACM International Conference on Multimedia (ACM MM) · doi:10.1145/1873951.1873987 · Cited by 1,361
Can machine-learning improve cardiovascular risk prediction using routine clinical data?
Weng, S. F., Reps, J., Kai, J., Garibaldi, J. M., & Qureshi, N. (2017) · PLOS ONE · doi:10.1371/journal.pone.0174944 · Cited by 1,346
Congestive heart failure in subjects with normal versus reduced left ventricular ejection fraction
Vasan, R. S., Larson, S., Benjamin, E. J., Evans, J. C., Reiss, C. K., & Levy, D. (1999) · Journal of the American College of Cardiology · doi:10.1016/s0735-1097(99)00118-7 · Cited by 1,331
A new classification of head injury based on computerized tomography
Marshall, L. F., Marshall, S. B., Klauber, M. R., van Berkum-Clark, M., Eisenberg, H. M., Jane, J. A., Luerssen, T. G., Marmarou, A., & Foulkes, M. A. (1991) · Journal of neurosurgery · doi:10.3171/sup.1991.75.1s.0s14 · Cited by 1,327
Liberal or Restrictive Transfusion in High-Risk Patients after Hip Surgery
Carson, J. L., Terrin, M. L., Noveck, H., Sanders, D., CHAITMAN, B. R., Rhoads, G. G., Nemo, G. J., Dragert, K., Beaupré, L. A., Hildebrand, K. A., et al. (2011) · New England Journal of Medicine · doi:10.1056/nejmoa1012452 · Cited by 1,321
The importance of correcting for sampling bias in MaxEnt species distribution models
Kramer‐Schadt, S., Niedballa, J., Pilgrim, J. D., Schröder, B., Lindenborn, J., Reinfelder, V., Stillfried, M., Heckmann, I., Scharf, A. K., Augeri, D. M., et al. (2013) · Diversity and Distributions · doi:10.1111/ddi.12096 · Cited by 1,321
Relationship between cancer patients' predictions of prognosis and their treatment preferences
Weeks, J. C. (1998) · JAMA · doi:10.1001/jama.279.21.1709 · Cited by 1,319
Metadata
- Authors
- Hosmer, D. W., Lemeshow, S. A., & Sturdivant, R. X.
- Venue
- Choice Reviews Online
- Publisher
- American Library Association
- Published
- 1990-02-01
- Volume
- 27
- Issue
- 06
- Pages
- 27-3338-27-3338
- ISSN
- 0009-4978 (ISSN-L)
- 1523-8253
- OpenAlex
- W1973948212
- Cited by
- 35,305
- References
- 0
- Citations by year
- 2026: 8 · 2025: 9 · 2024: 36 · 2023: 33 · 2022: 67 · 2021: 1072 · 2020: 1196 · 2019: 1195 · 2018: 1126 · 2017: 1233 · 2016: 1441 · 2015: 1657 · 2014: 1894 · 2013: 1846 · 2012: 1861
- Type
- book review
- Language
- en
- Open access
- closed
- Locations
- Choice Reviews Online (publishedVersion)
- International Linear Collider (submittedVersion)
- CERN Document Server (European Organization for Nuclear Research) (submittedVersion)
- Topics
- Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods in Epidemiology
- Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods and Bayesian Inference
- Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods and Applications
- Keywords
- logistic regression, binary outcomes, covariates, health sciences, statistical software, binary response models
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