Search

Your search keyword '"Carr, Andrew"' showing total 2,873 results
Start Over Author "Carr, Andrew"
2,873 results on '"Carr, Andrew"'

3. A single cell atlas of frozen shoulder capsule identifies features associated with inflammatory fibrosis resolution

Author

Ng, Michael T. H., Borst, Rowie, Gacaferi, Hamez, Davidson, Sarah, Ackerman, Jessica E., Johnson, Peter A., Machado, Caio C., Reekie, Ian, Attar, Moustafa, Windell, Dylan, Kurowska-Stolarska, Mariola, MacDonald, Lucy, Alivernini, Stefano, Garvilles, Micon, Jansen, Kathrin, Bhalla, Ananya, Lee, Angela, Charlesworth, James, Chowdhury, Rajat, Klenerman, Paul, Powell, Kate, Hackstein, Carl-Philip, Furniss, Dominic, Rees, Jonathan, Gilroy, Derek, Coles, Mark, Carr, Andrew J., Sansom, Stephen N., Buckley, Christopher D., and Dakin, Stephanie G.

Published
2024
Full Text
View/download PDF

5. Strategy as Problem-Solving

Author

Carr, Andrew

Subjects
Oxford University Press (Oxford, England) -- Political activity, Problem solving -- Political aspects, Military and naval science
Abstract

Life brims with problems. Many problems are mundane and can be solved by following an instruction manual. Other problems are unique but can be broken down into manageable parts and [...]

Published
2024

6. The Australasian Registry for Severe Cutaneous Adverse Reactions (AUS-SCAR) – Providing a roadmap for closing the diagnostic, patient, and healthcare gaps for a group of rare drug eruptions

Author

James, Fiona, Goh, Michelle S., Vogrin, Sara, Ng, Irvin, Douglas, Abby P., Holmes, Natasha E., Chua, Kyra YL., De Luca, Joseph, Sharma, Pooja, Zubrinich, Celia, Aung, Ar K., Gin, Douglas, Lambros, Belinda, Baker, Chris, Foley, Peter, Chong, Alvin H., Thien, Francis, Fok, Jie S., Su, John, Scardamaglia, Laura, Awad, Andrew, Tong, Steven, Johnson, Douglas, Godsell, Jack, Arasu, Alexis, Barnes, Sara, Ojaimi, Samar, Mar, Adrian, Yun, James, Ange, Nikhita, Tong, Winnie W.Y., Carr, Andrew, Loprete, Jacqueline, Katelaris, Constance H., Slape, Dana, Keat, Karuna, West, Timothy A., Lee, Monique, Smith, William, Hissaria, Pravin, Sidhu, Shireen, Janson, Sonja, Venkatesan, Sudharsan, Davies, Jane, Lane, Michael J., Redmond, Andrew M., Robertson, Ivan, Legg, Amy, Fernando, Suran, Boyle, Therese, Li, Jamma, Phillips, Elizabeth J., Cleland, Heather, Kern, Johannes S., and Trubiano, Jason A.

Published
2024
Full Text
View/download PDF

7. Selective advantage of mutant stem cells in human clonal hematopoiesis is associated with attenuated response to inflammation and aging

Author

Jakobsen, Niels Asger, Turkalj, Sven, Zeng, Andy G.X., Stoilova, Bilyana, Metzner, Marlen, Rahmig, Susann, Nagree, Murtaza S., Shah, Sayyam, Moore, Rachel, Usukhbayar, Batchimeg, Angulo Salazar, Mirian, Gafencu, Grigore-Aristide, Kennedy, Alison, Newman, Simon, Kendrick, Benjamin J.L., Taylor, Adrian H., Afinowi-Luitz, Rasheed, Gundle, Roger, Watkins, Bridget, Wheway, Kim, Beazley, Debra, Murison, Alex, Aguilar-Navarro, Alicia G., Flores-Figueroa, Eugenia, Dakin, Stephanie G., Carr, Andrew J., Nerlov, Claus, Dick, John E., Xie, Stephanie Z., and Vyas, Paresh

Published
2024
Full Text
View/download PDF

10. Evaluating Large Language Models Trained on Code

Author

Chen, Mark, Tworek, Jerry, Jun, Heewoo, Yuan, Qiming, Pinto, Henrique Ponde de Oliveira, Kaplan, Jared, Edwards, Harri, Burda, Yuri, Joseph, Nicholas, Brockman, Greg, Ray, Alex, Puri, Raul, Krueger, Gretchen, Petrov, Michael, Khlaaf, Heidy, Sastry, Girish, Mishkin, Pamela, Chan, Brooke, Gray, Scott, Ryder, Nick, Pavlov, Mikhail, Power, Alethea, Kaiser, Lukasz, Bavarian, Mohammad, Winter, Clemens, Tillet, Philippe, Such, Felipe Petroski, Cummings, Dave, Plappert, Matthias, Chantzis, Fotios, Barnes, Elizabeth, Herbert-Voss, Ariel, Guss, William Hebgen, Nichol, Alex, Paino, Alex, Tezak, Nikolas, Tang, Jie, Babuschkin, Igor, Balaji, Suchir, Jain, Shantanu, Saunders, William, Hesse, Christopher, Carr, Andrew N., Leike, Jan, Achiam, Josh, Misra, Vedant, Morikawa, Evan, Radford, Alec, Knight, Matthew, Brundage, Miles, Murati, Mira, Mayer, Katie, Welinder, Peter, McGrew, Bob, Amodei, Dario, McCandlish, Sam, Sutskever, Ilya, and Zaremba, Wojciech

Subjects
Computer Science - Machine Learning
Abstract

We introduce Codex, a GPT language model fine-tuned on publicly available code from GitHub, and study its Python code-writing capabilities. A distinct production version of Codex powers GitHub Copilot. On HumanEval, a new evaluation set we release to measure functional correctness for synthesizing programs from docstrings, our model solves 28.8% of the problems, while GPT-3 solves 0% and GPT-J solves 11.4%. Furthermore, we find that repeated sampling from the model is a surprisingly effective strategy for producing working solutions to difficult prompts. Using this method, we solve 70.2% of our problems with 100 samples per problem. Careful investigation of our model reveals its limitations, including difficulty with docstrings describing long chains of operations and with binding operations to variables. Finally, we discuss the potential broader impacts of deploying powerful code generation technologies, covering safety, security, and economics., Comment: corrected typos, added references, added authors, added acknowledgements

Published
2021

11. Switch to fixed-dose doravirine (100 mg) with islatravir (0·75 mg) once daily in virologically suppressed adults with HIV-1 on bictegravir, emtricitabine, and tenofovir alafenamide: 48-week results of a phase 3, randomised, controlled, double-blind, non-inferiority trial

Author

Mills, Anthony M, Rizzardini, Giuliano, Ramgopal, Moti N, Osiyemi, Olayemi O, Bogner, Johannes R, Hagins, Debbie P, Paredes, Roger, Reynes, Jacques, Rockstroh, Jürgen K, Carr, Andrew, Su, Feng-Hsiu, Klopfer, Stephanie O, Eves, Karen, Plank, Rebeca M, Correll, Todd, and Fox, Michelle C

Published
2024
Full Text
View/download PDF

18. Self-Supervised Learning of Audio Representations from Permutations with Differentiable Ranking

Author

Carr, Andrew N, Berthet, Quentin, Blondel, Mathieu, Teboul, Olivier, and Zeghidour, Neil

Subjects
Computer Science - Sound, Computer Science - Artificial Intelligence, Electrical Engineering and Systems Science - Audio and Speech Processing
Abstract

Self-supervised pre-training using so-called "pretext" tasks has recently shown impressive performance across a wide range of modalities. In this work, we advance self-supervised learning from permutations, by pre-training a model to reorder shuffled parts of the spectrogram of an audio signal, to improve downstream classification performance. We make two main contributions. First, we overcome the main challenges of integrating permutation inversions into an end-to-end training scheme, using recent advances in differentiable ranking. This was heretofore sidestepped by casting the reordering task as classification, fundamentally reducing the space of permutations that can be exploited. Our experiments validate that learning from all possible permutations improves the quality of the pre-trained representations over using a limited, fixed set. Second, we show that inverting permutations is a meaningful pretext task for learning audio representations in an unsupervised fashion. In particular, we improve instrument classification and pitch estimation of musical notes by reordering spectrogram patches in the time-frequency space.

Published
2021
Full Text
View/download PDF

22. Wasserstein Neural Processes

Author

Carr, Andrew, Nielsen, Jared, and Wingate, David

Subjects
Computer Science - Machine Learning, Statistics - Machine Learning
Abstract

Neural Processes (NPs) are a class of models that learn a mapping from a context set of input-output pairs to a distribution over functions. They are traditionally trained using maximum likelihood with a KL divergence regularization term. We show that there are desirable classes of problems where NPs, with this loss, fail to learn any reasonable distribution. We also show that this drawback is solved by using approximations of Wasserstein distance which calculates optimal transport distances even for distributions of disjoint support. We give experimental justification for our method and demonstrate performance. These Wasserstein Neural Processes (WNPs) maintain all of the benefits of traditional NPs while being able to approximate a new class of function mappings.

Published
2019

25. Graph Neural Processes: Towards Bayesian Graph Neural Networks

Author

Carr, Andrew and Wingate, David

Subjects
Computer Science - Machine Learning, Statistics - Machine Learning
Abstract

We introduce Graph Neural Processes (GNP), inspired by the recent work in conditional and latent neural processes. A Graph Neural Process is defined as a Conditional Neural Process that operates on arbitrary graph data. It takes features of sparsely observed context points as input, and outputs a distribution over target points. We demonstrate graph neural processes in edge imputation and discuss benefits and drawbacks of the method for other application areas. One major benefit of GNPs is the ability to quantify uncertainty in deep learning on graph structures. An additional benefit of this method is the ability to extend graph neural networks to inputs of dynamic sized graphs.

Published
2019

26. HIV treatment-as-prevention and its effect on incidence of HIV among cisgender gay, bisexual, and other men who have sex with men in Australia: a 10-year longitudinal cohort study

Author

Callander, Denton, McManus, Hamish, Gray, Richard T, Grulich, Andrew E, Carr, Andrew, Hoy, Jennifer, Donovan, Basil, Fairley, Christopher K, Holt, Martin, Templeton, David J, Liaw, Siaw-Teng, McMahon, James H, Asselin, Jason, Petoumenos, Kathy, Hellard, Margaret, Pedrana, Alisa, Elliott, Julian, Keen, Phillip, Costello, Jane, Keane, Richard, Kaldor, John, Stoové, Mark, and Guy, Rebecca

Published
2023
Full Text
View/download PDF

27. Diaper dermatitis prevalence and severity: Global perspective on the impact of caregiver behavior

Author

Carr, Andrew N, DeWitt, Thomas, Cork, Michael J, Eichenfield, Lawrence F, Fölster‐Holst, Regina, Hohl, Daniel, Lane, Alfred T, Paller, Amy, Pickering, Larry, Taieb, Alain, Cui, Tao Y, Xu, Zi G, Wang, Xeumin, Brink, Susanna, Niu, Yeuqing, Ogle, Julie, Odio, Mauricio, and Gibb, Roger D

Subjects
Pediatric, Clinical Research, Skin, Buttocks, Caregivers, China, Cross-Sectional Studies, Diaper Rash, Diapers, Infant, Female, Germany, Humans, Hydrogen-Ion Concentration, Infant, Infant Care, Male, Prevalence, Surveys and Questionnaires, United States, diaper dermatitis, neonatal, skin barrier, Paediatrics and Reproductive Medicine, Dermatology & Venereal Diseases
Abstract

ObjectivesTo compare prevalence and severity of diaper dermatitis (DD) in infants and toddlers (babies) across three countries (China, USA, and Germany), including diapered skin measures and caregiver practices.MethodsA cross-sectional study of 1791 babies (~600 from each country) was recruited at each clinical site. Based on regional toilet-training habits, exclusively diaper-wearing infants were recruited between ages 2-8 months in China and 2-18 months in the USA and Germany. DD was measured, as well as skin pH, transepidermal water loss (TEWL), and relative humidity (RH) in the diapered region. Caregiver habits were collected via a questionnaire and included information on hygienic practices.ResultsDiaper dermatitis was highest in the perianal area, followed by the intertriginous, genital, and buttock regions. In general, DD was significantly lower in babies in China, highest in Germany, and intermediate in the USA. This rank ordering of DD by geography was also observed in baby age 2-8 months. The lower DD observed in China was associated with lower skin pH and TEWL on diapered skin and decreased RH in the diaper. Chinese caregivers had the highest rate of prophylactic topical product usage, the most robust cleaning of the diapered area, lack of cleansing after urine-only diaper changes, and Chinese infants spent the least time in an overnight diaper.ConclusionsThese data suggest caregiver behaviors including prophylactic use of topical products, thorough cleaning after stooling and reduced time in an overnight diaper are associated with less DD, lower superficial skin pH, and enhanced skin barrier.

Published
2020

34. Rehabilitation versus surgical reconstruction for non-acute anterior cruciate ligament injury (ACL SNNAP): a pragmatic randomised controlled trial

Author

Emsley, Richard, Peat, George, Snow, Martyn, Campbell, Marion, Howell, Tessa, Johnson, Hilary, McDonnell, Stephen, Pinkney, Thomas, Williams, Mark, Campbell, Helen, Davies, Jackie, Li, Jiyang, Bagg, Christina, Haywood, Laura, Nicholson, Anne, Riches, Joanne, Symons, Sean, Vertue, Mark, Al Mouazzen, Louay, Bray, Rachel, Clark, Damian, Coulthard, James, Holland, Tim, Howells, Nick, Jones, Andrew, Kapur, Richard, Kiszely, Alastair, Krishnan, Harry, MacDonald-Taylor, Karen, Manara, Jon, Murray, James, Negrut, Corina, Pai, Vishai, Porteous, Andrew, Putnis, Sven, Robinson, James, Rupasinghe, Shav, Selvaratnam, Veenesh, Smith, James, Smith, Nick, Stevens, Jarrad, Taylor, Clare, Theodorides, Anthony, Vetharajan, Niraj, Vint, Helen, Young, Lucy, Bullock, Susan, Cook, Rebecca, Dodds, Alexander, Freeman-Hicks, Amanda, Hillout, Paula, Cornell, Thomas, Coutts, Abbie, Dean, Suzy, Devooght-Johnson, Nicki, Ferrell, Emma, Fletcher, Eve, Hall, Chrissie, Kent, Benjamin, Kessly, Sandra, Kincaid, Robin, Lazizi, Mohamed, Mostafa, Ahmed, Nisbett, Toby, Powell, Tim, Riddlestone, Peter, Roberton, Andrew, Summers, Jessica, Whitbread, Lucy, Wroath, Belinda, Fenlon, Emma, Hall, Andrew, Jeffrey, Helen, Thonse, Raghuram, Dunne, Debra, Metcalfe, Andy, McGowan, Kerri, Middleton, Simon, Shah, Feisal, Spalding, Tim, Marie Suddens, Charlie, Sweed, Tamar, Teuke, Joanna, Thompson, Peter, Wright, David, Amero, Justine, Brown, Emma, Chissell, Hugh, Croucher, Andrea, Dickinson, Gareth, Hawkes-Blackburn, Catherine, Peacocke, Alice, Smith, Graham, Snipe, Carol, Dearnley, Kim, Mayahi, Reza, Andrews, Barry, Barcelona, Massimo, Giles, Hazel, Gokturk, Abdulkerim, Harnett, Paul, Jeeves, Katie, Kadunyi, Joyce, Mendoza, Sheena, Reichert, Ines, Santamaria, Marta, Virdee, Harshinder, Anand, Sanjeev, Aslam-Pervez, Nayef, Draycott, Stephen, Howarth, Faye, Jina, Irfan, Maher, Niall, Ross, Denise, Worstenholme, Lindsey, Baig, Abdul, Bhaskaran, Arun, Banks, Daniel, Brear, Tracy, Christie, Carla, Cowen, Laura, Davis, Jack, Dixey, Ross, Esler, Colin, Essop-Adam, Amirah, Haines, Christina, Houchen-Wolloff, Linzy, Varachia, Husein, Wood, Richard, Gray, Glaxy, Nichols, Jessica, Panes, Alice, Partridge, Susan, Rogerson, Lawrie, Sharma, Pankaj, Triggs, David, Venables, Ian, Wilcock, Danielle, Buckley, Sarah, Darian, Thelma, Denis, Elizabeth, Duncan, Jo, Hirst, Charlotte, Newman, James, Richardson, Fern, Smith, Jon, Adcode, Megan, Cottingham, Megan, Foster, Eliza, Kelly, Andrew, McKay, Niamh, Rewbury, Jane, Whitcher, Alison, Williams, James, Zebracki, Esther, Davies, Llinos, Jayachandran, Jayadeep, Tardivel, Alison, Whitehead, Victoria, Batting, Martha, Bond, Amy, Deakin, Marc, Dodd, Christopher, Hudak, Alison, Hynes, Samantha, Jones, Luke, Lang, Gail, McKenna, David, Morris, Susan, Scott-Dempster, Clare, Sykes, Adam, Vichos, Iason, Wood, Simon, Clifton, Rupert, Diaz, Stephanie, Hendy, Craig, Modi, Nishil, O'Mahony, Brendan, O'Sullivan, Susan, Parker, Nicola, Pecheva, Mira, Rumonovic, Rowan, McLoughlin, Emma, Rushbrook, Jeremy, Thornhill, Anna, Parkinson, Valerie, Sales, Rafael, Van De Snepscheut-Jones, Katja, Wilcock, David, Wright, Daniel, Allison, Joanna, Baker, Simon, Beesley, Kate, Ferrari, Gill, Lankester, Benedict, Lewis, Alison, Lyons, Joanne, O'Callaghan, Jamie, Sutcliffe, Sarah, Wood, Dianne, Bannister, Emily, Brown, Chloe, Burden, Debbie, Campbell, Terence, Craig, Emma, Easow, Rashmi, Foxton, Julie, Hazlerigg, Alexandra, Jayabev, Chethan, Murdoch, Rosie, Parsons, Georgie, Brown, Harry, Carvelli, Paula, Montaser, Rugaia, Pepper, Ali, Sivarajan, Sinduja, Templeton-Ward, Oliver, Wilson, Eva, Cronin, Julie, Diment, Sarah, King, Victoria, Shean, Katharine, Vachtsevanos, Leonidas, Wilcocks, Katharine, Wilson, Ben, McNestry, Paul, Ollerenshaw, Joanna, Stoddard, James, Sutton, Paul, Anand, Sanjay, Bell, Judith, Chikate, Albert, Daniel, Diane, Davies, Timothy, Finnigan, Tom, Frasquet-Garcia, Antonio, Hopkins, Susan, Kerrison, Sharon, McGowan, Angela, Sands Johnson, David, Smith, Lara, Turner, Philip, Wilkinson, Helen, Allsop, Lynne, Anthony, Deborah, Boulton, Rebecca, Brown, Sarah, Desai, Vikram, Gill, Mandy, Heeley, Cheryl, Kulkarni, Sushrut, Lovegrove, Wayne, Nash, Dominic, Ann Sewell, Terri, Shelton, Sarah, Slack, Katie, Cartwright, James, Connor, Lynda, Davies, Andrew, Davies, Caroline, Gainard, Glyn, Graham-Woollard, Dave, Murphy, Carl, Quinn, Leanne, Thomas, Caradog, Travers, Jenny, Williams, Marie, Bell, Amanda, Deo, Sunny, Francis, Katharine, Jackson, Tracy, McCafferty, Laura, Navadgi, Basalingappa, Plank, Karan, Satish, Venkat, Thelwall, Claire, Knight, Rachel, Patel, Rahul, Paton, Bruce, Acharya, Ashutosh, Aland, Utuman, Areirobulos, Miltiades, de Feyter, Pascal, Ditchfield, Lisa, Iqbaz, Hafiz, Massey, Daniel, Stables, Gareth, Appleby, Sarah, Brown, Michael, Cable, Sarah, Damen, Alexander, Da Rocha, Joana, Foster, Louise, Hamilton, Elizabeth, Hatton, Catriona, Honeywell, Cassie, Kulkarni, Kunal, Markham, Lucy, Mohammed, Haadiya, O'Grady, John, Joshi, Yogesh, Mclintock, Heather, Morgan, Tania, Stockport, Jane, Agrawal, Pranshu, Armstrong, Jo, Briggs, Shannon, Coupe, Ben, Evans, Anne, Gilbert, Rob, Latham, Sandra, Mohammed, Aslam, Beard, David J, Davies, Loretta, Cook, Jonathan A, Stokes, Jamie, Leal, Jose, Fletcher, Heidi, Abram, Simon, Chegwin, Katie, Greshon, Akiko, Jackson, William, Bottomley, Nicholas, Dodd, Matt, Bourke, Henry, Shirkey, Beverly A, Paez, Arsenio, Lamb, Sarah E, Barker, Karen, Phillips, Michael, Brown, Mark, Lythe, Vanessa, Mirza, Burhan, Carr, Andrew, Monk, Paul, Morgado Areia, Carlos, O'Leary, Sean, Haddad, Fares, Wilson, Chris, and Price, Andrew

Published
2022
Full Text
View/download PDF

35. Associations between integrase strand-transfer inhibitors and cardiovascular disease in people living with HIV: a multicentre prospective study from the RESPOND cohort consortium

Author

Neesgaard, Bastian, Greenberg, Lauren, Miró, Jose M, Grabmeier-Pfistershammer, Katharina, Wandeler, Gilles, Smith, Colette, De Wit, Stéphane, Wit, Ferdinand, Pelchen-Matthews, Annegret, Mussini, Cristina, Castagna, Antonella, Pradier, Christian, d'Arminio Monforte, Antonella, Vehreschild, Jörg J, Sönnerborg, Anders, Anne, Alain V, Carr, Andrew, Bansi-Matharu, Loveleen, Lundgren, Jens D, Garges, Harmony, Rogatto, Felipe, Zangerle, Robert, Günthard, Huldrych F, Rasmussen, Line D, Necsoi, Coca, van der Valk, Marc, Menozzi, Marianna, Muccini, Camilla, Peters, Lars, Mocroft, Amanda, and Ryom, Lene

Published
2022
Full Text
View/download PDF

40. Investigating the effects of management in temperate broadleaved woodland on bats and their insect prey

Author

Carr, Andrew and Jones, Gareth

Subjects
570
Abstract

Woodland is an important natural resource providing wood-derived biomass for use as a carbon lean source of heating and electricity. The role of biomass in reducing our dependence on fossil fuels should not be underestimated, nor should the potential negative impacts on biodiversity as land managers are incentivised to bring under-managed woodland back into production to meet renewable targets. The effect of woodland management on wildlife needs more scientific research. In this thesis, I investigate the influence of the silvicultural practice involving selective thinning of woodland over time on bats and their insect prey, and use emerging technologies to identify the ecological requirements of a woodland specialist bat species at different spatial scales. When compared to unmanaged woodland (minimal intervention and underutilised), bat species richness was higher in managed woodland (selective thinning) because uncluttered understory vegetation provided opportunities for edge and open foraging bats, in addition to woodland interior specialists. Common and adaptable edge foragers were more active in managed woodland. Interior foragers and tree-roosting bats were more active in unmanaged woodland and often absent from managed woodland. Bats responded positively to standing dead trees and tree cavities, and to a relatively open and heterogeneous canopy architecture. Standing dead trees were three times more abundant, and tree cavities five times more frequent in unmanaged woodland. Canopy architecture was similar between managed and unmanaged woodland. Bats and insects had contrasting non-linear temporal responses to time since last management with bat activity reducing, and insect numbers peaking in early stage successional woodland. The woodland-dwelling bat Barbastella barbastellus roosted primarily in ancient semi-natural broadleaved woodland which contained more tree cavities than adjoining younger plantation woodland. High energetic demands of pregnant and lactating bats influenced roost selection and behaviour. B. barbastellus specialises in feeding on moths. Linear landscape features such as hedgerows provide food for moth larvae and were used by B. barbastellus for feeding on adult moths. Bats respond well to characteristics that form in old age woodland. The relatively low frequency of standing dead trees and number of cavities in shorter rotation production woodland limits its value to bats. Tree roost availability and canopy architecture characteristics can be encouraged in young woodland by minimal intervention management, or in production woodland through positive thinning management. Improving B. barbastellus roosting and foraging habitat will conserve habitat suitable for all developmental stages of their moth prey.

Published
2018

45. Self-reactive B cells traverse a perfect storm of somatic mutagenesis to cause a virus-induced autoimmune disease

Author

Young, Clara, primary, Singh, Mandeep, additional, Jackson, Katherine JL, additional, Field, Matt A, additional, Peters, Timothy J, additional, Angioletti-Uberti, Stefano, additional, Frenkel, Daan, additional, Ravishankar, Shyamsundar, additional, Gupta, Money, additional, Wang, Jing J, additional, Agapiou, David, additional, Faulks, Megan L, additional, Al-Eryani, Ghamdan, additional, Luciani, Fabio, additional, Gordon, Tom P, additional, Reed, Joanne H, additional, Danta, Mark, additional, Carr, Andrew, additional, Kelleher, Anthony D, additional, Dore, Gregory J, additional, Matthews, Gail, additional, Brink, Robert, additional, Bull, Rowena A, additional, Suan, Daniel, additional, and Goodnow, Christopher C, additional

Published
2024
Full Text
View/download PDF

48. Improvements in transition times through the HIV cascade of care among gay and bisexual men with a new HIV diagnosis in New South Wales and Victoria, Australia (2012–19): a longitudinal cohort study

Author

Carr, Andrew, Elliot, Julian, Templeton, David J., Liaw, Teng, Wilson, David P., van Santen, Daniela K, Asselin, Jason, Haber, Noah A, Traeger, Michael W, Callander, Denton, Donovan, Basil, El-Hayek, Carol, McMahon, James H, Petoumenos, Kathy, McManus, Hamish, Hoy, Jennifer F, Hellard, Margaret, Guy, Rebecca, and Stoové, Mark

Published
2021
Full Text
View/download PDF

50. The QuinteT Recruitment Intervention supported five randomized trials to recruit to target: a mixed-methods evaluation

Author

Rogers, Chris A., Andrews, Robert, Blazeby, Jane M., Byrne, James, Donovan, Jenny L., Kelly, Jamie, Mazza, Graziella, Mahon, David, Noble, Hamish, Reeves, Barnaby C., Thompson, Janice L., Wordsworth, Sarah, Welbourn, Richard, Beard, David, Carr, Andrew, Cook, Jonathan, Cooper, Cushla, Dean, Benjamin, Gray, Alastair, Gwilym, Stephen, Judge, Andrew, Merritt, Naomi, Moser, Jane, Rees, Jonathan, Rombach, Ines, Savulescu, Julian, Tracey, Irene, Wartolowska, Karolina, Harrison, Eleanor, Tan, Wei, Mills, Nicola, Karantana, Alexia, Sprange, Kirsty, Duley, Lelia, Elliott, Daisy, Hollingworth, William, Montgomery, Alan A., Davis, Tim, Stein, Rob, Bartlett, John, Cameron, David, Campbell, Amy, Canney, Peter, Dunn, Janet, Earl, Helena, Falzon, Mary, Francis, Adele, Hall, Peter, Harmer, Victoria, Higgins, Helen, Hiller, Louise, Hughes-Davies, Luke, Hulme, Claire, Macpherson, Iain, Makris, Andreas, Marshall, Andrea, McCabe, Christopher, Morgan, Adrienne, Pinder, Sarah, Poole, Christopher, Provenzano, Elena, Rea, Daniel, Stallard, Nigel, Avery, Kerry N.L., Barham, C. Paul, Berrisford, Richard, Elliott, Jackie, Falk, Stephen J., Goldin, Rob, Hanna, George, Hollowood, Andrew A., Krysztopik, Richard, Metcalfe, Chris, Noble, Sian, Sanders, Grant, Streets, Christopher G., Titcomb, Dan R., Wheatley, Tim, Rooshenas, Leila, Scott, Lauren J., Tilling, Kate M., Husbands, Samantha, Conefrey, Carmel, Stein, Robert C., Carr, Andrew J., Beard, David J., Paramasivan, Sangeetha, Jepson, Marcus, Avery, Kerry, and Wilson, Caroline

Published
2019
Full Text
View/download PDF

Catalog

Books, media, physical & digital resources
See catalog results