Modeling Survival Data: Extending the Cox Model

Death from anthropogenic causes is partially compensatory in recovering wolf populations

Murray, D. L., Smith, D. W., Bangs, E. E., Mack, C. M., Oakleaf, J. K., Fontaine, J., Boyd, D. K., Jiminez, M., NIEMEYER, C. C., Meier, T. J., et al. (2010) · Biological Conservation · doi:10.1016/j.biocon.2010.06.018 · Cited by 113

Local ancestry at APOE modifies Alzheimer's disease risk in Caribbean Hispanics

Blue, E., Horimoto, A. R. V. R., Mukherjee, S., Wijsman, E. M., & Thornton, T. A. (2019) · Alzheimer s & Dementia · doi:10.1016/j.jalz.2019.07.016 · Cited by 113

On the empirical choice of the time window for restricted mean survival time

Tian, L., Jin, H., Uno, H., Lü, Y., Huang, B., Anderson, K. M., & Wei, L. J. (2020) · Biometrics · doi:10.1111/biom.13237 · Cited by 113

Targeting glioblastoma signaling and metabolism with a re-purposed brain-penetrant drug

Bi, J., Khan, A. A., Tang, J., Armando, A. M., Wu, S., Zhang, W., Gimple, R. C., Reed, A., Jing, H., Koga, T., et al. (2021) · Cell Reports · doi:10.1016/j.celrep.2021.109957 · Cited by 113

Dose-Response Analysis Using R

Ritz, C., Jensen, S. M., Gerhard, D., & Streibig, J. C. (2019) · Chapman & Hall/CRC eBooks · doi:10.1201/b21966 · Cited by 117

Regression analysis of incomplete medical cost data

Lin, D. Y. (2003) · Statistics in Medicine · doi:10.1002/sim.1377 · Cited by 113

Factors affecting long‐term survival of horses recovering from surgery of the small intestine

PROUDMAN, C. J., Edwards, G. B., Barnes, J. A., & French, N. P. (2005) · Equine Veterinary Journal · doi:10.2746/0425164054529481 · Cited by 113

Gallium-mediated siderophore quenching as an evolutionarily robust antibacterial treatment

Ross-Gillespie, A., Weigert, M., Brown, S. P., & Kümmerli, R. (2014) · Evolution, Medicine, and Public Health · doi:10.1093/emph/eou003 · Cited by 104

Prevention of relapse/recurrence in major depressive disorder with either mindfulness-based cognitive therapy or cognitive therapy

Farb, N., Anderson, A., Ravindran, A., Hawley, L., Irving, J., Mancuso, E., Gulamani, T., Williams, G., Ferguson, A., & Segal, Z. V. (2018) · Journal of Consulting and Clinical Psychology · doi:10.1037/ccp0000266 · Cited by 104

Extracting biological age from biomedical data via deep learning: too much of a good thing?

Pyrkov, T. V., Slipensky, K., Barg, M., Kondrashin, A., Zhurov, B., Zenin, A., Pyatnitskiy, M., Menshikov, L., Markov, S., & Fedichev, P. O. (2018) · Scientific Reports · doi:10.1038/s41598-018-23534-9 · Cited by 111

First-line intra-arterial versus intravenous chemotherapy in unilateral sporadic group D retinoblastoma: evidence of better visual outcomes, ocular survival and shorter time to success with intra-arterial delivery from retrospective review of 20 years of treatment

Munier, F. L., Mosimann, P. J., Puccinelli, F., Gaillard, M., Stathopoulos, C., Houghton, S., Bergin, C., & Popovic, M. B. (2016) · British Journal of Ophthalmology · doi:10.1136/bjophthalmol-2016-309298 · Cited by 112

Using fractional polynomials and restricted cubic splines to model non‐proportional hazards or time‐varying covariate effects in the Cox regression model

Austin, P. C., Fang, J., & Lee, D. S. (2021) · Statistics in Medicine · doi:10.1002/sim.9259 · Cited by 112

Association of Immune-Related Adverse Event Management With Survival in Patients With Advanced Melanoma

van Not, O. J., Verheijden, R. J., van den Eertwegh, A. J. M., Haanen, J. B. A. G., Aarts, M. J. B., van den Berkmortel, F. W. P. J., Blank, C. U., Boers‐Sonderen, M. J., de Groot, J. B., Hospers, G. A. P., et al. (2022) · JAMA Oncology · doi:10.1001/jamaoncol.2022.5041 · Cited by 112

Coronary artery restenosis treatment with plain balloon, drug-coated balloon, or drug-eluting stent: 10-year outcomes of the ISAR-DESIRE 3 trial

Giacoppo, D., Alvarez‐Covarrubias, H. A., Koch, T., Cassese, S., Xhepa, E., Kessler, T., Wiebe, J., Joner, M., Hochholzer, W., Laugwitz, K., et al. (2023) · European Heart Journal · doi:10.1093/eurheartj/ehad026 · Cited by 112

Survival of Colonizing Wolves in the Northern Rocky Mountains of the United States, 1982–2004

Smith, D. W., Bangs, E. E., Oakleaf, J. K., Mack, C. M., Fontaine, J. A., Boyd, D. K., Jimenez, M. D., Pletscher, D. H., NIEMEYER, C. C., Meier, T. J., et al. (2010) · Journal of Wildlife Management · doi:10.2193/2008-584 · Cited by 112

Age‐Varying Association Between Statin Use and Incident Alzheimer's Disease

Li, G., Shofer, J. B., Rhew, I. C., Kukull, W. A., Peskind, E. R., McCormick, W. C., Bowen, J. D., Schellenberg, G. D., Crane, P. K., Breitner, J. C. S., et al. (2010) · Journal of the American Geriatrics Society · doi:10.1111/j.1532-5415.2010.02906.x · Cited by 113

The incubation period distribution of tuberculosis estimated with a molecular epidemiological approach

Borgdorff, M. W., Šebek, M. M. G. G., Geskus, R. B., Kremer, K., Kalisvaart, N. A., & van Soolingen, D. (2011) · International Journal of Epidemiology · doi:10.1093/ije/dyr058 · Cited by 111

Multiple imputation for handling systematically missing confounders in meta‐analysis of individual participant data

Resche‐Rigon, M., White, I. R., Bartlett, J. W., Peters, S. A. E., Thompson, S. G., & on behalf of the PROG‐IMT Study Group (2013) · Statistics in Medicine · doi:10.1002/sim.5894 · Cited by 106

Impact of treatment with biologic DMARDs on the risk of sepsis or mortality after serious infection in patients with rheumatoid arthritis

Richter, A., Listing, J., Schneider, M., Klopsch, T., Kapelle, A., Kaufmann, J., Zink, A., & Strangfeld, A. (2015) · Annals of the Rheumatic Diseases · doi:10.1136/annrheumdis-2015-207838 · Cited by 113

Adjuvant Letrozole and Tamoxifen Alone or Sequentially for Postmenopausal Women With Hormone Receptor–Positive Breast Cancer: Long-Term Follow-Up of the BIG 1-98 Trial

Ruhstaller, T., Giobbie‐Hurder, A., Colleoni, M. A., Jensen, M., Ejlertsen, B., de Azambuja, E., Neven, P., Láng, I., Jakobsen, E. H., Gladieff, L., et al. (2018) · Journal of Clinical Oncology · doi:10.1200/jco.18.00440 · Cited by 111

Nabiximols for the Treatment of Cannabis Dependence

Lintzeris, N., Bhardwaj, A. K., Mills, L., Dunlop, A. J., Copeland, J., McGregor, I. S., Bruno, R., Gugusheff, J., Phung, N., Montebello, M. E., et al. (2019) · JAMA Internal Medicine · doi:10.1001/jamainternmed.2019.1993 · Cited by 111

Cox Proportional Hazards Regression Model

Harrell, F. E. (2015) · Springer series in statistics · doi:10.1007/978-3-319-19425-7_20 · Cited by 111

Iodine brachytherapy as an alternative to enucleation for large uveal melanomas

Puusaari, I., Heikkonen, J. J., Summanen, P. A., Tarkkanen, A. H. A., & Kivelä, T. (2003) · Ophthalmology · doi:10.1016/s0161-6420(03)00661-4 · Cited by 111

Social fear and social phobia types among community youth: Differential clinical features and vulnerability factors

Knappe, S., Beesdo-Baum, K., Fehm, L., Stein, M. B., Lieb, R., & Wittchen, H.-U. (2011) · Journal of Psychiatric Research · doi:10.1016/j.jpsychires.2010.05.002 · Cited by 113

Cardiovascular and cognitive fitness at age 18 and risk of early-onset dementia

Nyberg, J., Åberg, M., Schiöler, L., Nilsson, M., Wallin, A., Torén, K., & Kuhn, H. G. (2014) · Brain · doi:10.1093/brain/awu041 · Cited by 109

Proportionally Difficult: Testing for Nonproportional Hazards in Cox Models

Keele, L. J. (2010) · Political Analysis · doi:10.1093/pan/mpp044 · Cited by 110

A general framework for parametric survival analysis

Crowther, M. J., & Lambert, P. C. (2014) · Statistics in Medicine · doi:10.1002/sim.6300 · Cited by 110

Correcting for dependent censoring in routine outcome monitoring data by applying the inverse probability censoring weighted estimator

Willems, S. J. W., Schat, A., van Noorden, M. S., & Fiocco, M. F. (2016) · Statistical Methods in Medical Research · doi:10.1177/0962280216628900 · Cited by 110

Carcass Persistence and Detectability: Reducing the Uncertainty Surrounding Wildlife-Vehicle Collision Surveys

Santos, R. A. L., Santos, S., Santos‐Reis, M., de Figueiredo, A. P., Bager, A., Aguiar, L., & Ascensão, F. (2016) · PLoS ONE · doi:10.1371/journal.pone.0165608 · Cited by 110

Hepatic decompensation is the major driver of death in HCV-infected cirrhotic patients with successfully treated early hepatocellular carcinoma

Cabibbo, G., Petta, S., Barbara, M., Attardo, S., Bucci, L., Farinati, F., Giannini, E. G., Negrini, G., Ciccarese, F., Rapaccini, G. L., et al. (2017) · Journal of Hepatology · doi:10.1016/j.jhep.2017.01.033 · Cited by 110

Higher Risk of Vascular Dementia in Myocardial Infarction Survivors

Sundbøll, J., Horváth–Puhó, E., Adelborg, K., Schmidt, M., Pedersen, L. H., Bøtker, H. E., Henderson, V. W., & Sørensen, H. T. (2017) · Circulation · doi:10.1161/circulationaha.117.029127 · Cited by 112

Fifteen-Year Trends in Pediatric Liver Transplants: Split, Whole Deceased, and Living Donor Grafts

Mogul, D. B., Luo, X., Bowring, M. G., Chow, E. K. H., Massie, A. B., Schwarz, K. B., Cameron, A. M., Bridges, J. F. P., & Segev, D. L. (2018) · The Journal of Pediatrics · doi:10.1016/j.jpeds.2017.11.015 · Cited by 114

The ephemerality of secondary forests in southern Costa Rica

Reid, J. L., Fagan, M. E., Lucas, J. M., Slaughter, J., & Zahawi, R. A. (2018) · Conservation Letters · doi:10.1111/conl.12607 · Cited by 110

An immune dysfunction score for stratification of patients with acute infection based on whole-blood gene expression

Cano-Gamez, E., Burnham, K. L., Goh, C., Allcock, A., Malick, Z. H., Overend, L., Kwok, A. J., Smith, D. A. B., Sengers, H. P., Antcliffe, D. B., et al. (2022) · Science Translational Medicine · doi:10.1126/scitranslmed.abq4433 · Cited by 112

Limb Stress-Rest Perfusion Imaging With Contrast Ultrasound for the Assessment of Peripheral Arterial Disease Severity

Lindner, J. R., Womack, L., Barrett, E. J., Weltman, J. Y., Price, W., Harthun, N. L., Kaul, S., & Patrie, J. T. (2008) · JACC. Cardiovascular imaging · doi:10.1016/j.jcmg.2008.04.001 · Cited by 113

Postpartum reproductive function: association with energy, metabolic and endocrine status in high yielding dairy cows

Reist, M., Erdin, D., von Euw, D., Tschümperlin, K., Leuenberger, H., Hammon, H. M., Morel, C., Philipona, C., Zbinden, Y., Künzi, N., et al. (2003) · Theriogenology · doi:10.1016/s0093-691x(02)01238-4 · Cited by 110

Effect of frailty on short- and mid-term outcomes in vascular surgical patients

Ambler, G. K., Brooks, D. E., Al-Zuhir, N., Ali, A., Gohel, M., Hayes, P. D., Varty, K., Boyle, J. R., & Coughlin, P. A. (2015) · British journal of surgery · doi:10.1002/bjs.9785 · Cited by 111

A comprehensive analysis on child mortality and its determinants in Bangladesh using frailty models

Khan, J. R., & Awan, N. (2017) · Archives of Public Health · doi:10.1186/s13690-017-0224-6 · Cited by 109

MHC-I genotype and tumor mutational burden predict response to immunotherapy

Goodman, A. M., Castro, A., Pyke, R. M., Okamura, R., Kato, S., Riviere, P. J., Frampton, G. M., Sokol, E. S., Zhang, X., Ball, E. D., et al. (2020) · Genome Medicine · doi:10.1186/s13073-020-00743-4 · Cited by 112

Analysis of exacerbation rates in asthma and chronic obstructive pulmonary disease: example from the TRISTAN study

Keene, O. N., Jones, M. R. K., Lane, P. W., & Anderson, J. A. (2007) · Pharmaceutical Statistics · doi:10.1002/pst.250 · Cited by 109

Random effects Cox models: A Poisson modelling approach

Ma, R. (2003) · Biometrika · doi:10.1093/biomet/90.1.157 · Cited by 108

An Approach to Model and Predict the Popularity of Online Contents with Explanatory Factors

Lee, J. G., Moon, S. B., & Salamatian, K. (2010) · IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT) · doi:10.1109/wi-iat.2010.209 · Cited by 109

NOTCH-mediated non-cell autonomous regulation of chromatin structure during senescence

Parry, A. J., Hoare, M., Bihary, D., Hänsel-Hertsch, R., Smith, S., Tomimatsu, K., Mannion, E., Smith, A., D’Santos, P., Russell, I. A., et al. (2018) · Nature Communications · doi:10.1038/s41467-018-04283-9 · Cited by 102

Change in Mortality Risk Over Time in Young Kidney Transplant Recipients

Foster, B. J., Dahhou, M., Zhang, X., Platt, R. W., & Hanley, J. A. (2011) · American Journal of Transplantation · doi:10.1111/j.1600-6143.2011.03691.x · Cited by 108

Home sweet home: fitness consequences of site familiarity in female black-tailed deer

Forrester, T. D., Casady, D. S., & Wittmer, H. U. (2015) · Behavioral Ecology and Sociobiology · doi:10.1007/s00265-014-1871-z · Cited by 108

Should duration of dual antiplatelet therapy depend on the type and/or potency of implanted stent? A pre-specified analysis from the PROlonging Dual antiplatelet treatment after Grading stent-induced Intimal hyperplasia studY (PRODIGY)

Valgimigli, M., Borghesi, M., Tebaldi, M., Vranckx, P., Parrinello, G., Ferrari, R., for the PROlonging Dual antiplatelet treatment after Grading stent-induced Intimal hyperplasia studY (PRODIGY) Investigators, Valgimigli, M., Campo, G., Percoco, G., et al. (2013) · European Heart Journal · doi:10.1093/eurheartj/ehs460 · Cited by 108

SABRE: a multicentre randomised control trial of nebulised hypertonic saline in infants hospitalised with acute bronchiolitis

Everard, M. L., Hind, D., Ugonna, K., Freeman, J., Bradburn, M. J., Cooper, C. L., Cross, E. L. A., Maguire, C., Cantrill, H., Alexander, J., et al. (2014) · Thorax · doi:10.1136/thoraxjnl-2014-205953 · Cited by 108

One- and two-stage surgical revision of peri-prosthetic joint infection of the hip: a pooled individual participant data analysis of 44 cohort studies

Kunutsor, S. K., Whitehouse, M. R., Blom, A. W., Tim Board, Kay, P., Wroblewski, B. M., Zeller, V., Chen, S.-Y., Hsieh, P., Masri, B. A., et al. (2018) · European Journal of Epidemiology · doi:10.1007/s10654-018-0377-9 · Cited by 108

Best be(e) on low fat: linking nutrient perception, regulation and fitness

Ruedenauer, F. A., Raubenheimer, D., Kessner‐Beierlein, D., Grund‐Mueller, N., Noack, L., Spaethe, J., & Leonhardt, S. D. (2020) · Ecology Letters · doi:10.1111/ele.13454 · Cited by 108

Mitral Repair Versus Replacement for Ischemic Mitral Regurgitation

AL-Radi, O. O., Austin, P. C., Tu, J. V., David, T. E., & Yau, T. M. (2005) · The Annals of Thoracic Surgery · doi:10.1016/j.athoracsur.2004.09.044 · Cited by 108

Dietary fiber and colorectal cancer risk: the multiethnic cohort study

Nomura, A. M. Y., Hankin, J. H., Henderson, B. E., Wilkens, L. R., Murphy, S. P., Pike, M. C., Marchand, L. L., Stram, D. O., Monroe, K. R., & Kolonel, L. N. (2007) · Cancer Causes & Control · doi:10.1007/s10552-007-9018-4 · Cited by 108

Association of Variants in RETN With Plasma Resistin Levels and Diabetes-Related Traits in the Framingham Offspring Study

Hivert, M., Manning, A. K., McAteer, J. B., Dupuis, J., Fox, C. S., Cupples, L. A., Meigs, J. B., & Florez, J. C. (2008) · Diabetes · doi:10.2337/db08-1339 · Cited by 108

PR1 peptide vaccine induces specific immunity with clinical responses in myeloid malignancies

Qazilbash, M., Wieder, E., Thall, P. F., Wang, X., Rios, R., Lu, S., Kanodia, S., Ruisaard, K. E., Giralt, S., Estey, E. H., et al. (2016) · Leukemia · doi:10.1038/leu.2016.254 · Cited by 105

Churn Prediction in Mobile Social Games: Towards a Complete Assessment Using Survival Ensembles

Perianez, A., Saas, A., Guitart, A., & Magne, C. (2016) · IEEE International Conference on Data Science and Advanced Analytics (DSAA) · doi:10.1109/dsaa.2016.84 · Cited by 111

Characterisation of tumour‐derived microvesicles in cancer patients' blood and correlation with clinical outcome

Menck, K., Bleckmann, A., Wachter, A., Hennies, B., Ries, L., Schulz, M., Balkenhol, M., Pukrop, T., Schatlo, B., Rost, U., et al. (2017) · Journal of Extracellular Vesicles · doi:10.1080/20013078.2017.1340745 · Cited by 106

Exposure to pollen-bound pesticide mixtures induces longer-lived but less efficient honey bees

Prado, A., Pioz, M., Vidau, C., Réquier, F., Jury, M., Crauser, D., Brunet, J., Conte, Y. L., & Alaux, C. (2018) · The Science of The Total Environment · doi:10.1016/j.scitotenv.2018.09.102 · Cited by 107

Research-based PAM50 signature and long-term breast cancer survival

Pu, M., Messer, K. S., Davies, S. R., Vickery, T. L., Pittman, E. I., Parker, B. A., Ellis, M. J., Flatt, S. W., Marinac, C. R., Nelson, S. H., et al. (2019) · Breast Cancer Research and Treatment · doi:10.1007/s10549-019-05446-y · Cited by 107

Survival analysis

Kartsonaki, C. (2016) · Diagnostic histopathology · doi:10.1016/j.mpdhp.2016.06.005 · Cited by 107

Inflammatory Molecular Signature Associated With Infectious Agents in Psychosis

Hayes, L. N., Severance, E. G., Leek, J. T., Gressitt, K. L., Rohleder, C., Coughlin, J. M., Leweke, F. M., Yolken, R. H., & Sawa, A. (2014) · Schizophrenia Bulletin · doi:10.1093/schbul/sbu052 · Cited by 106

Estimating the Burden of Recurrent Events in the Presence of Competing Risks: The Method of Mean Cumulative Count

Dong, H., Robison, L. L., Leisenring, W. M., Martin, L. J., Armstrong, G. T., & Yasui, Y. (2015) · American Journal of Epidemiology · doi:10.1093/aje/kwu289 · Cited by 106

Soy food consumption and breast cancer prognosis

Caan, B. J., Natarajan, L., Parker, B., Gold, E. B., Thomson, C., Newman, V., Rock, C. L., Pu, M., Al-Delaimy, W., & Pierce, J. P. (2011) · Cancer Epidemiology, Biomarkers & Prevention · doi:10.1158/1055-9965.epi-10-1041 · Cited by 106

Comprehensive miRNA sequence analysis reveals survival differences in diffuse large B-cell lymphoma patients

Lim, E. L., Trinh, D. L. N., Scott, D. W., Chu, A., Krzywinski, M. I., Zhao, Y., Robertson, A. G., Mungall, A. J. J., Schein, J. E., Boyle, M., et al. (2015) · Genome biology · doi:10.1186/s13059-014-0568-y · Cited by 110

Duration of red cell storage before transfusion and in-hospital mortality

Eikelboom, J. W., Cook, R. J., Liu, Y., & Heddle, N. M. (2010) · American Heart Journal · doi:10.1016/j.ahj.2009.12.045 · Cited by 106

Expression of the CTLA-4 ligand CD86 on plasmacytoid dendritic cells (pDC) predicts risk of disease recurrence after treatment discontinuation in CML

Schütz, C., Inselmann, S., Sausslele, S., Dietz, C., Müller, M. C., Eigendorff, E., Brendel, C. A., Metzelder, S., Brümmendorf, T. H., Waller, C. F., et al. (2017) · Leukemia · doi:10.1038/leu.2017.9 · Cited by 104

ITGA3 serves as a diagnostic and prognostic biomarker for pancreatic cancer

Jiao, Y., Li, Y., Liu, S., Chen, Q., & Liu, Y. (2019) · OncoTargets and Therapy · doi:10.2147/ott.s201675 · Cited by 103

More precisely defining risk peri-HCT in pediatric ALL: pre- vs post-MRD measures, serial positivity, and risk modeling

Bader, P., Salzmann‐Manrique, E., Balduzzi, A., Dalle, J., Woolfrey, A. E., Bar, M., Verneris, M. R., Borowitz, M. J., Shah, N. N., Gossai, N. P., et al. (2019) · Blood Advances · doi:10.1182/bloodadvances.2019000449 · Cited by 107

Epidemiology and Costs of Postsepsis Morbidity, Nursing Care Dependency, and Mortality in Germany, 2013 to 2017

Fleischmann-Struzek, C., Rose, N., Freytag, A., Spoden, M., Prescott, H. C., Schettler, A., Wedekind, L., Ditscheid, B., Storch, J., Born, S., et al. (2021) · JAMA Network Open · doi:10.1001/jamanetworkopen.2021.34290 · Cited by 106

Meat consumption, heterocyclic amines and colorectal cancer risk: The Multiethnic Cohort Study

Ollberding, N. J., Wilkens, L. R., Henderson, B. E., Kolonel, L. N., & Marchand, L. L. (2012) · International Journal of Cancer · doi:10.1002/ijc.27546 · Cited by 107

Individual Prediction in Prostate Cancer Studies Using a Joint Longitudinal Survival–Cure Model

Yu, M., Taylor, J. M. G., & Sandler, H. M. (2008) · Journal of the American Statistical Association · doi:10.1198/016214507000000400 · Cited by 106

The use of Gaussian quadrature for estimation in frailty proportional hazards models

Liu, L., & Huang, X. (2007) · Statistics in Medicine · doi:10.1002/sim.3077 · Cited by 106

Pulmonic Stenosis in Dogs: Balloon Dilation Improves Clinical Outcome

Johnson, M. S., Martin, M. W. S., Edwards, D. S., French, A. T., & Henley, W. (2004) · Journal of Veterinary Internal Medicine · doi:10.1111/j.1939-1676.2004.tb02602.x · Cited by 106

Mega-Dose Vitamins and Minerals in the Treatment of Non-Metastatic Breast Cancer: An Historical Cohort Study

Lesperance, M., Olivotto, I. A., Forde, N., Zhao, Y., Speers, C. H., Foster, H., Tsao, M., Macpherson, N. A., & Hoffer, A. (2002) · Breast Cancer Research and Treatment · doi:10.1023/a:1020552501345 · Cited by 106

Improved performance on high-dimensional survival data by application of Survival-SVM

Belle, V. V., Kristiaan Pelckmans, A., Huffel, S. V., & Suykens, J. A. K. (2010) · Bioinformatics · doi:10.1093/bioinformatics/btq617 · Cited by 105

Introduction of a Quality Management System and Outcome After Hematopoietic Stem-Cell Transplantation

Gratwohl, A. A., Brand, R., Niederwieser, D. W., Baldomero, H., Chabannon, C., Cornelissen, J. J., de Witte, T., Ljungman, P. T., McDonald, F., McGrath, E., et al. (2011) · Journal of Clinical Oncology · doi:10.1200/jco.2010.30.4121 · Cited by 105

Error processing and gender-shared and -specific neural predictors of relapse in cocaine dependence

Luo, X., Zhang, S., Hu, S., Bednarski, S. R., Erdman, E., Farr, O. M., Hong, K., Sinha, R., Mazure, C. M., & Li, C.-S. R. (2013) · Brain · doi:10.1093/brain/awt040 · Cited by 105

Crizotinib Synergizes with Chemotherapy in Preclinical Models of Neuroblastoma

Krytska, K., Ryles, H. T., Sano, R., Raman, P., Infarinato, N. R., Hansel, T. D., Makena, M. R., Song, M. M., Reynolds, C. P., & Mossé, Y. P. (2015) · Clinical Cancer Research · doi:10.1158/1078-0432.ccr-15-0379 · Cited by 108

Are homografts superior to conventional prosthetic valves in the setting of infective endocarditis involving the aortic valve?

Kim, J. B., Ejiofor, J. I., Yammine, M. B., Camuso, J. M., Walsh, C. W., Ando, M., Melnitchouk, S. I., Rawn, J. D., Leacche, M., MacGillivray, T. E., et al. (2016) · Journal of Thoracic and Cardiovascular Surgery · doi:10.1016/j.jtcvs.2015.12.061 · Cited by 105

Genetic analysis of right heart structure and function in 40,000 people

Pirruccello, J. P., Achille, P. D., Nauffal, V., Nekoui, M., Friedman, S. F., Klarqvist, M. D. R., Chaffin, M. D., Weng, L.-C. C., Cunningham, J. W., Khurshid, S. S., et al. (2022) · Nature Genetics · doi:10.1038/s41588-022-01090-3 · Cited by 101

Prediagnostic smoking history, alcohol consumption, and colorectal cancer survival

Phipps, A. I., Baron, J. A., & Newcomb, P. A. (2011) · Cancer · doi:10.1002/cncr.26114 · Cited by 105

What time is it? Choice of time origin and scale in extended proportional hazards models

Fieberg, J., & DelGiudice, G. D. (2009) · Ecology · doi:10.1890/08-0724.1 · Cited by 103

The median hazard ratio: a useful measure of variance and general contextual effects in multilevel survival analysis

Austin, P. C., Wagner, P., & Merlo, J. (2016) · Statistics in Medicine · doi:10.1002/sim.7188 · Cited by 105

Parasites modulate within-colony activity and accelerate the temporal polyethism schedule of a social insect, the honey bee

Natsopoulou, M. E., McMahon, D. P., & Paxton, R. J. (2015) · Behavioral Ecology and Sociobiology · doi:10.1007/s00265-015-2019-5 · Cited by 104

Mediterranean Dietary Pattern and Risk of Breast Cancer

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A Genome-Wide Association Study of Overall Survival in Pancreatic Cancer Patients Treated with Gemcitabine in CALGB 80303

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