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Zubin, Grover and Peter, Lewindon (2015) Predicting endoscopic Crohn's disease activity before and after induction therapy in children: A comprehensive assessment of PCDAI, CRP, and fecal calprotectin. Inflammatory Bowel Diseases, 21 6: 1386-1391. doi:10.1097/MIB.0000000000000388 20   2 Cited 2 times in Scopus2 1
Truby, H., Davies, P. S. W., Cojean, K., Batch, J. A. and Elliott, S. A. (2008). Predicting energy requirements in obese adolescents: Getting an accurate picture?. In: International Journal of Body Composition Research. Proceedings of the International Symposium in In Vivo Body Composition Studies. 8th International Symposium on In Vivo Body Composition Studies, New York City, N.Y. USA, (69-69). 9 -12 July 2008. 55  
Coleman, Andrea, Weir, Kelly, Ware, Robert S. and Boyd, Roslyn (2015) Predicting functional communication ability in children with cerebral palsy at school entry. Developmental Medicine and Child Neurology, 57 3: 279-285. doi:10.1111/dmcn.12631 25   1 Cited 3 times in Scopus3 2
Black, Emma B. and Mildred, Helen (2013) Predicting impulsive self-injurious behavior in a sample of adult women. Journal of Nervous and Mental Disease, 201 1: 72-75. doi:10.1097/NMD.0b013e31827ab1da 17   1 Cited 1 times in Scopus1 1
Sabdia, S., Greer, R. M., Prior, T. and Kumar, S. (2015) Predicting intrapartum fetal compromise using the fetal cerebro-umbilical ratio. Placenta, 36 5: 594-598. doi:10.1016/j.placenta.2015.01.200 62 1 3 Cited 3 times in Scopus3 1
Spittle, Alicia J., Boyd, Roslyn N., Inder, Terrie, E. and Doyle, Lex, W. (2009) Predicting motor development in very preterm infants at 12 months' corrected age: The role of qualitative magnetic resonance imaging and general movements assessments. Pediatrics, 123 2: 512-517. doi:10.1542/peds.2008-0590 71   68 Cited 81 times in Scopus81 0
Krishnan, Manju, Beck, Sue, Havelock, Will, Eeles, Eamonn, Hubbard, Ruth E. and Johansen, Antony (2014) Predicting outcome after hip fracture: using a frailty index to integrate comprehensive geriatric assessment results. Age and Ageing, 43 1: 122-126. doi:10.1093/ageing/aft084 26   26 Cited 33 times in Scopus33 12
Krishnan, M., Beck, S., Cowen, O., Hughes, M., Havelock, W., Eeles, E., Hubbard, R. and Johansen, A. (2013). Predicting outcome after hip fracture: using frailty index to integrate comprehensive geriatric assessment results. In: British Geriatrics Society Communications to the Spring Meeting. British Geriatrics Society, Belfast, Ireland, (iii16-iii17). 17-19 April 2013. doi:10.1093/ageing/aft101 30   1 0
Bradman, Kate, Borland, Meredith and Pascoe, Elaine (2012) Predicting patient disposition in a paediatric emergency department. Journal of Paediatrics and Child Health, 50 10: E39-E44. doi:10.1111/jpc.12011 24   4 Cited 4 times in Scopus4 1
Brooks, Gabriel C., Lee, Byron K., Rao, Rajni, Lin, Feng, Morin, Daniel P., Zweibel, Steven L., Buxton, Alfred E., Pletcher, Mark J., Vittinghoff, Eric and Olgin, Jeffrey E. (2016) Predicting persistent left ventricular dysfunction following myocardial infarction: the PREDICTS study. Journal of the American College of Cardiology, 67 10: 1186-1196. doi:10.1016/j.jacc.2015.12.042     2 Cited 3 times in Scopus3 2
Mitra, J., Carey, L., Fripp, J., Shen, K., Pannek, K., Bourgeat, P., Salvado, O., Campbell, B., Connelly, A., Palmer, S. and Rose, S. (2014). Predicting poststroke depression from structural brain connectivity. In: 25th Annual Scientific Meeting of the Stroke Society of Australasia, Hamilton Island, Australia, (44-44). 30 July-1 August 2014. doi:10.1111/ijs.12298 23   0 0
DE Sutter, An, Lemiengre, Marieke, Van Maele, Gorges, van Driel, Mieke, De Meyere, Marc, Christiaens, Thierry and De Maeseneer, Jan (2006). Predicting prognosis and effect of antibiotic treatment in rhinosinusitis. In: WONCA. WONCA Europe Regional Conference, Amsterdam Netherlands, (486-493). 01-04 June 2004. doi:10.1370/afm.600 33   15 Cited 15 times in Scopus15 6
Mehra, M. R., Lavie, C. J. and Milani, R. V. (1996) Predicting prognosis in advanced heart failure: Use of exercise indices. Chest, 110 2: 310-312. doi:10.1378/chest.110.2.310 35   8 0 0
Porceddu, S. V., Sidhom, M., Foote, M., Burmeister, E., Stoneley, A., Hawwari, B. El, Milross, C., Kenny, L., Poulsen, M. and Coman, W. B. (2008) Predicting regional control based on pretreatment nodal size in squamous cell carcinoma of the head and neck treated with chemoradiotherapy: A clinican's guide. Journal of Medical Imaging and Radiation Oncology, 52 5: 491-496. doi:10.1111/j.1440-1673.2008.02001.x 88   2 Cited 2 times in Scopus2 3
Elliott, Sarah A., Davidson, Zoe E., Davies, Peter S.W. and Truby, Helen (2012) Predicting resting energy expenditure in boys with Duchenne muscular dystrophy. European Journal of Paediatric Neurology, 16 6: 631-635. doi:10.1016/j.ejpn.2012.02.011 41   6 Cited 6 times in Scopus6 0
Branagan, H., Meijer, R., Schaafstra, A., Case, Colin, Boersma, E., Poldermans, D. and Marwick, T. H. (2007). Predicting risk of cardiac events after major noncardiac surgery: development of a risk score combining clinical risk markers and dobutamine echo. In: Abstracts for the Cardiac Society of Australia and New Zealand Annual Scientific Meeting and the International Society for Heart Research, Australasian Section, Annual Scientific Meeting. Cardiac Society of Aust and NZ Annual Scientific Meeting, Christchurch, NZ, (S93-S93). 9-12 August 2007. 39  
Urwin, H. R., Jones, P. W., Harden, P. N., Ramsay, H. M., Hawley, C. M., Nicol, D. L. and Fryer, A. A. (2009) Predicting Risk of Nonmelanoma Skin Cancer and Premalignant Skin Lesions in Renal Transplant Recipients. Transplantation, 87 11: 1667-1671. doi:10.1097/TP.0b013e3181a5ce2e 78   18 Cited 24 times in Scopus24 0
Magnusson, BM, Pugh, JW and Roberts, MS (2005) Predicting skin flux for minimal toxicological exposure or maximal therapeutic delivery. Journal of Investigative Dermatology, 125 3: A11-A11. 45   0
Wiechers, J. W., Watkinson, A. C., Cross, S. E. and Roberts, M. S. (2012) Predicting skin penetration of actives from complex cosmetic formulations: an evaluation of inter formulation and inter active effects during formulation optimization for transdermal delivery. International Journal of Cosmetic Science, 34 6: 525-535. doi:10.1111/ics.12001 69   8 Cited 9 times in Scopus9 1
Baxter, Kimberley A., Ware, Robert S., Batch, Jennifer A. and Truby, Helen (2013) Predicting success: factors associated with weight change in obese youth undertaking a weight management program. Obesity Research and Clinical Practice, 7 2: E147-E154. doi:10.1016/j.orcp.2011.09.004 149 1 5 Cited 6 times in Scopus6 0
Pearce, C.M. and Martin, G. (1994) Predicting suicide attempts among adolescents. Acta Psychiatrica Scandinavica, 90 5: 324-328. doi:10.1111/j.1600-0447.1994.tb01601.x 50   31 0
Bilous, M., Ades, C., Armes, J., Bishop, J., Brown, R., Cooke, B., Cummings, M., Farshid, G., Field, A., Morey, A., McKenzie, P., Raymond, W., Robbins, P. and Tan, L. (2003) Predicting the HER2 status of breast cancer from basic histopathology data: an analysis of 1500 breast cancers as part of the HER2000 International Study. Breast, 12 2: 92-98. doi:10.1016/S0960-9776(02)00273-4 103   54 Cited 63 times in Scopus63 0
Yates, Jason, Conwell, Louise, Johnson, Stephanie, McMahon, Sarah, Hughes, Ian, Harris, Mark, Batch, Jennifer and Cotterill, Andrew (2012). Predicting the length of honeymoon in newly diagnosed children with type 1 diabetes mellitus based on age, initial HbA1c and acid base status. In: Australasian Paediatric Endocrine Group Annual Scientific Meeting. Australasian Paediatric Endocrine Group Annual Scientific Meeting, Queenstown, New Zealand, (). 29 July - 2 August 2012. 42  
Brown, Elizabeth, Owen, Rebecca, Harden, Fiona, Mengersen, Kerrie, Oestreich, Kimberley, Houghton, Whitney, Poulsen, Michael, Harris, Selina, Lin, Charles and Porceddu, Sandro (2015) Predicting the need for adaptive radiotherapy in head and neck cancer. Radiotherapy and Oncology, 116 1: 57-63. doi:10.1016/j.radonc.2015.06.025 12   7 Cited 5 times in Scopus5 1
Morosini, A. and Davies, M. W. (2004) Predicting the Need for Ventilation in Term and Near-Term Neonates. Journal of Paediatrics and Child Health, 40 8: 438-443. doi:10.1111/j.1440-1754.2004.00425.x 413 414 4 Cited 5 times in Scopus5 0
Gastal, Fábio L., Andreoli, Sérgio B., Quintana, Maria Inês S., Gameiro, Maurício Almeida, Leite, Sérgio O. and McGrath, John (2000) Predicting the revolving door phenomenon among patients with schizophrenic, affective disorders and non-organic psychoses. Revista de Saude Publica, 34 3: 280-285. doi:10.1590/S0034-89102000000300011 154 1 19 0 0
Kyle, Samuel D., Law, W. Phillip and Miles, K. A. (2013) Predicting tumour response. Cancer Imaging, 13 3: 381-390. doi:10.1102/1470-7330.2013.9039 46 2 Cited 2 times in Scopus2 0
Lee, Sang Hong, van der Werf, Julius H. J., Hayes, Ben J., Goddard, Michael E. and Visscher, Peter M. (2008) Predicting unobserved phenotypes for complex traits from whole-genome SNP data. PLoS Genetics, 4 10: . doi:10.1371/journal.pgen.1000231 30   102 Cited 108 times in Scopus108 9
de Silva, D. J., Kwan, A., Bunce, C. and Bainbridge, J. (2008) Predicting visual outcome following retinectomy for retinal detachment. British Journal of Ophthalmology, 92 7: 954-958. doi:10.1136/bjo.2007.131540 23   22 Cited 29 times in Scopus29 0
Crouch, A., Cheung, V., Gray, L., Yelland, C. and Salih, S. (2009). Predicting walking time on a geriatric rehabilitation ward. In: Australasian Journal on Ageing. The Australian & New Zealand Society for Geriatric Medicine Annual Scientific Meeting, “Of Bones, Jointes and Sinewes”: Musculoskeletal Medicine at the end of The Bone and Joint Decade. The Australian & New Zealand Society for Geriatric Medicine Annual Scientific Meeting, “Of Bones, Jointes and Sinewes”: Musculoskeletal Medicine at the end of The Bone and Joint Decade, Fremantle, Australia, (A7-A7). 7–9 September, 2009. doi:10.1111/j.1741-6612.2009.00386.x 76   0 0
Verstraete, Evelien Hilde, Blot, Koen, Mahieu, Ludo, Vogelaers, Dirk and Blot, Stijn (2015) Prediction models for neonatal health care-associated sepsis: A meta-analysis. Pediatrics, 135 4: e1002-e1014. doi:10.1542/peds.2014-3226 25   6 Cited 4 times in Scopus4 5
Patel, Dharmendrakumar A., Lavie, Carl J., Gilliland, Yvonne E., Shah, Sangeeta B., Dinshaw, Homeyar K. and Milani, Richard V. (2015) Prediction of All-Cause Mortality by the Left Atrial Volume Index in Patients With Normal Left Ventricular Filling Pressure and Preserved Ejection Fraction. Mayo Clinic Proceedings, 90 11: 1499-1505. doi:10.1016/j.mayocp.2015.07.021     2 Cited 2 times in Scopus2 26
Stanton, Tony, Leano, Rodel and Marwick, Thomas H. (2009) Prediction of all-cause mortality from global longitudinal speckle strain: Comparison with ejection fraction and wall motion scoring. Circulation: Cardiovascular Imaging, 2 5: 356-364. doi:10.1161/CIRCIMAGING.109.862334 37   248 Cited 264 times in Scopus264 3
Lingwood, B. E., Coghlan, J. P., Ward, L. C., Charles, B. G. and Colditz, P. B. (1999). Prediction of aminoglycoside distribution space in neonates by multiple frequency bioelectrical impedance analysis. In: Proceedings of the Perinatal Society of Australia and New Zealand. 3rd Annual Perinatal Society of Australia & New Zealand Congs, Sofitel Hotel, Melbourne, (P91). 21-24 March, 1999. 37  
Lingwood, B. E., Coghlan, J. P., Ward, L. C., Charles, B. G. and Colditz, P. B. (1999) Prediction of aminoglycoside distribution space in neonates by multiple frequency bioelectrical impedance analysis. European Journal of Clinical Pharmacology, 55 9: 671-676. doi:10.1007/s002280050691 62   5 0
Bertini, Matteo, Borleffs, C. Jan Willem, Delgado, Victoria, Ng, Arnold C. T., Piers, Sebastiaan R. D., Shanks, Miriam, Antoni, M. Louisa, Biffi, Mauro, Boriani, Giuseppe, Schalij, Martin J., Bax, Jeroen J. and Van de Veire, Nico R. L. (2010) Prediction of atrial fibrillation in patients with an implantable cardioverter-defibrillator and heart failure. European Journal of Heart Failure, 12 10: 1101-1110. doi:10.1093/eurjhf/hfq126 21   15 Cited 19 times in Scopus19 0
White, Melinda, Davies, Peter S., Murphy, Alexia and Littlewood, Robyn (2010). Prediction of body fat in pediatric oncology. In: Clinical Nutrition Week 2010 Scientific Abstracts. Clinical Nutrition Week, Las Vegas, NV, U.S.A., (230-230). 8-12 February. 73  
Lakhani, S. R., Reis-Filho, J. S., Fulford, L., Penault-Llorca, F., van der Vjiver, M., Parry, S., Bishop, T., Benitez, J., Rivas, C., Bignon, Y. J., Chang-Claude, J., Hamann, U., Cornelisse, C. J., Devilee, P. and Beckmann, M. W. (2005) Prediction of BRCA1 status in patients with breast cancer using estrogen receptor and basal phenotype. Clinical Cancer Research, 11 14: 5175-5180. doi:10.1158/1078-0432.CCR-04-2424 85   378 Cited 415 times in Scopus415 7
Mavaddat, Nasim, Pharoah, Paul D. P., Michailidou, Kyriaki, Tyrer, Jonathan, Brook, Mark N., Bolla, Manjeet K., Wang, Qin, Dennis, Joe, Dunning, Alison M., Shah, Mitul, Luben, Robert, Brown, Judith, Bojesen, Stig E., Nordestgaard, Borge G., Nielsen, Sune F., Flyger, Henrik, Czene, Kamila, Darabi, Hatef, Eriksson, Mikael, Peto, Julian, dos-Santos-Silva, Isabel, Dudbridge, Frank, Johnson, Nichola, Schmidt, Marjanka K., Broeks, Annegien, Verhoef, Senno, Rutgers, Emiel J., Swerdlow, Anthony, Ashworth, Alan, Orr, Nick, Schoemaker, Minouk J., Figueroa, Jonine, Chanock, Stephen J., Brinton, Louise, Lissowska, Jolanta, Couch, Fergus J., Olson, Janet E., Vachon, Celine, Pankratz, Vernon S., Lambrechts, Diether, Wildiers, Hans, Van Ongeval, Chantal, Van Limbergen, Erik, Kristensen, Vessela, Alnaes, Grethe Grenaker, Nord, Silje, Borresen-Dale, Anne-Lise, Nevanlinna, Heli, Muranen, Taru A., Aittomaeki, Kristiina, Blomqvist, Carl, Chang-Claude, Jenny, Rudolph, Anja, Seibold, Petra, Flesch-Janys, Dieter, Fasching, Peter A., Haeberle, Lothar, Ekici, Arif B., Beckmann, Matthias W., Burwinkel, Barbara, Marme, Frederik, Schneeweiss, Andreas, Sohn, Christof, Trentham-Dietz, Amy, Newcomb, Polly, Titus, Linda, Egan, Kathleen M., Hunter, David J., Lindstrom, Sara, Tamimi, Rulla M., Kraft, Peter, Rahman, Nazneen, Turnbull, Clare, Renwick, Anthony, Seal, Sheila, Li, Jingmei, Liu, Jianjun, Humphreys, Keith, Benitez, Javier, Zamora, M. Pilar, Perez, Jose Ignacio Arias, Menendez, Primitiva, Jakubowska, Anna, Lubinski, Jan, Jaworska-Bieniek, Katarzyna, Durda, Katarzyna, Bogdanova, Natalia V., Antonenkova, Natalia N., Doerk, Thilo, Anton-Culver, Hoda, Neuhausen, Susan L., Ziogas, Argyrios, Bernstein, Leslie, Devilee, Peter, Tollenaar, Robert A. E. M., Seynaeve, Caroline, van Asperen, Christi J., Cox, Angela, Cross, Simon S., Reed, Malcolm W. R., Khusnutdinova, Elza, Bermisheva, Marina, Prokofyeva, Darya, Takhirova, Zalina, Meindl, Alfons, Schmutzler, Rita K., Sutter, Christian, Yang, Rongxi, Schuermann, Peter, Bremer, Michael, Christiansen, Hans, Park-Simon, Tjoung-Won, Hillemanns, Peter, Guenel, Pascal, Truong, Therese, Menegaux, Florence, Sanchez, Marie, Radice, Paolo, Peterlongo, Paolo, Manoukian, Siranoush, Pensotti, Valeria, Hopper, John L., Tsimiklis, Helen, Apicella, Carmel, Southey, Melissa C., Brauch, Hiltrud, Bruening, Thomas, Ko, Yon-Dschun, Sigurdson, Alice J., Doody, Michele M., Hamann, Ute, Torres, Diana, Ulmer, Hans-Ulrich, Foersti, Asta, Sawyer, Elinor J., Tomlinson, Ian, Kerin, Michael J., Miller, Nicola, Andrulis, Irene L., Knight, Julia A., Glendon, Gord, Mulligan, Anna Marie, Chenevix-Trench, Georgia, Balleine, Rosemary, Giles, Graham G., Milne, Roger L., McLean, Catriona, Lindblom, Annika, Margolin, Sara, Haiman, Christopher A., Henderson, Brian E., Schumacher, Fredrick, Le Marchand, Loic, Eilber, Ursula, Wang-Gohrke, Shan, Hooning, Maartje J., Hollestelle, Antoinette, van den Ouweland, Ans M. W., Koppert, Linetta B., Carpenter, Jane, Clarke, Christine, Scott, Rodney, Mannermaa, Arto, Kataja, Vesa, Kosma, Veli-Matti, Hartikainen, Jaana M., Brenner, Hermann, Arndt, Volker, Stegmaier, Christa, Dieffenbach, Aida Karina, Winqvist, Robert, Pylkaes, Katri, Jukkola-Vuorinen, Arja, Grip, Mervi, Offit, Kenneth, Vijai, Joseph, Robson, Mark, Rau-Murthy, Rohini, Dwek, Miriam, Swann, Ruth, Perkins, Katherine Annie, Goldberg, Mark S., Labreche, France, Dumont, Martine, Eccles, Diana M., Tapper, William J., Rafiq, Sajjad, John, Esther M., Whittemore, Alice S., Slager, Susan, Yannoukakos, Drakoulis, Toland, Amanda E., Yao, Song, Zheng, Wei, Halverson, Sandra L., Gonzalez-Neira, Anna, Pita, Guillermo, Alonso, M. Rosario, Alvarez, Nuria, Herrero, Daniel, Tessier, Daniel C., Vincent, Daniel, Bacot, Francois, Luccarini, Craig, Baynes, Caroline, Ahmed, Shahana, Maranian, Mel, Healey, Catherine S., Simard, Jacques, Hall, Per, Easton, Douglas F. and Garcia-Closas, Montserrat (2015) Prediction of breast cancer risk based on profiling with common genetic variants. Journal of the National Cancer Institute, 107 5: 1-15. doi:10.1093/jnci/djv036     16 Cited 39 times in Scopus39 52
Bertini, Matteo, Delgado, Victoria, den Uijl, Dennis W., Nucifora, Gaetano, Ng, Arnold C. T., van Bommel, Rutger J., Borleffs, C. Jan Willem, Boriani, Giuseppe, Schalij, Martin J. and Bax, Jeroen J. (2010) Prediction of cardiac resynchronization therapy response: value of calibrated integrated backscatter imaging. Circulation: Cardiovascular Imaging, 3 1: 86-93. doi:10.1161/CIRCIMAGING.109.882324 27   10 Cited 13 times in Scopus13 0
Huynh, Quan L., Reid, Christopher M., Chowdhury, Enayet K., Huq, Molla M., Billah, Baki, Wing, Lindon M.H., Tonkin, Andrew M., Simons, Leon A., Nelson, Mark R., Beilin, Lawrence J., Jennings, Garry L., Johnston, Collin I., Macdonald, Graham J., Marley, John E., McNeil, John J., Morgan, Trefor O., Ryan, Philip, West, Malcolm J. and Wing, Lindon M.H. (2015) Prediction of cardiovascular and all-cause mortality at 10 years in the hypertensive aged population. American Journal of Hypertension, 28 5: 649-656. doi:10.1093/ajh/hpu213     1 Cited 3 times in Scopus3 0
Adegbija, Odewumi, Hoy, Wendy and Wang, Zhiqiang (2015) Prediction of cardiovascular disease risk using waist circumference among Aboriginals in a remote Australian community. BMC Public Health, 15 1: . doi:10.1186/s12889-015-1406-1 65   1 Cited 1 times in Scopus1 0
Lingwood, Barbara E., Storm van Leeuwen, Anne-Martine, Carberry, Angela E., Fitzgerald, Erin C., Callaway, Leonie K., Colditz, Paul B. and Ward, Leigh C. (2012) Prediction of fat-free mass and percentage body fat in neonates using bioelectrical impedance analysis and anthropometric measures: Validation against the PEA POD. The British Journal of Nutrition, 107 10: 1545-1552. doi:10.1017/S0007114511004624 115   18 Cited 18 times in Scopus18 0
Prior, Tomas, Mullins, Edward, Bennett, Phillip and Kumar, Sailesh (2014) Prediction of fetal compromise in labor. Obstetrics and Gynecology, 123 6: 1263-1271. doi:10.1097/AOG.0000000000000292 29   6 Cited 6 times in Scopus6 5
Smart, N., Haluska, B. A., Leano, R. L., Case, C. C., Mottram, P. and Marwick, T. H. (2004). Prediction of functional capacity and ejection fraction in chronic heart failure patients using myocardial tissue doppler.. In: Franklin Rosenfeldt, Heart Lung & Circulation: Cardiology Bench to Bedside: The Science and The Practice. The Cardiac Society of Australia and New Zealand, New Zealand Annual Scientific Meeting 2004, Brisbane, Qld, Australia, (S12-S12). 7-11 August, 2004. doi:10.1016/j.hlc.2004.05.001 180   0
Smart, N. and Marwick, T. H. (2004). Prediction of functional capacity in chronic heart failure patients using myocardial tissue Doppler. In: Journal of the American College of Cardiology. American College of Cardiology 53rd Annual Scientific Session, New Orleans, Louisiana, (351A-351A). 7-10 March, 2004. doi:10.1016/S0735-1097(04)91485-4 331   0 0
Pasquet, A., Lauer, M. S., Williams, M., Secknus, M., Lytle, B. W. and Marwick, T. H. (2000) Prediction of global left ventricular function after bypass surgery in patients with severe left ventricular dysfunction. Impact of pre-operative myocardial function, perfusion and metabolism.. European Heart Journal, 21 2: 101-103. 72  
Bell, K. L. and Davies, P. S. W. (2006) Prediction of height from knee height in children with cerebral palsy and non-disabled children. Annals of Human Biology, 33 4: 493-499. doi:10.1080/03014460600814028 232   10 Cited 10 times in Scopus10 0
Sturgess, David J., Marwick, Thomas H., Joyce, Chris, Jenkins, Carly, Jones, Mark, Masci, Paul, Stewart, David and Venkatesh, Bala (2010) Prediction of hospital outcome in septic shock: A prospective comparison of tissue Doppler and cardiac biomarkers. Critical Care, 14 2 Article R44: 1-11. doi:10.1186/cc8931 87   57 Cited 68 times in Scopus68 0
Szulkin, Robert, Whitington, Thomas, Eklund, Martin, Aly, Markus, Eeles, Rosalind A., Easton, Douglas, Kote-Jarai, ZSofia, Al Olama, Ali Amin, Benlloch, Sara, Muir, Kenneth, Giles, Graham G., Southey, Melissa C., Fitzgerald, Liesel M., Henderson, Brian E., Schumacher, Fredrick, Haiman, Christopher A., Schleutker, Johanna, Wahlfors, Tiina, Tammela, Teuvo L. J., Nordestgaard, Borge G., Key, Tim J., Travis, Ruth C., Neal, David E., Donovan, Jenny L., Hamdy, Freddie C., Pharoah, Paul, Pashayan, Nora, Khaw, Kay-Tee, Stanford, Janet L., Thibodeau, Stephen N., McDonnell, Shannon K., Schaid, Daniel J., Maier, Christiane, Vogel, Walther, Luedeke, Manuel, Herkommer, Kathleen, Kibel, Adam S., Cybulski, Cezary, Lubinski, Jan, Kluzniak, Wojciech, Cannon-Albright, Lisa, Brenner, Hermann, Butterbach, Katja, Stegmaier, Christa, Park, Jong Y., Sellers, Thomas, Lim, Hui-Yi, Slavov, Chavdar, Kaneva, Radka, Mitev, Vanio, Batra, Jyotsna, Clements, Judith A., Spurdle, Amanda, Teixeira, Manuel R., Paulo, Paula, Maia, Sofia, Pandha, Hardev, Michael, Agnieszka, Kierzek, Andrzej, Gronberg, Henrik and Wiklund, Fredrik (2015) Prediction of individual genetic risk to prostate cancer using a polygenic score. Prostate, 75 13: 1467-1474. doi:10.1002/pros.23037     6 Cited 8 times in Scopus8 8

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