Zobrazeno 1 - 10
of 508
pro vyhledávání: '"C, Marschner"'
Autor:
Mark Jones, David Price, Jason Roberts, Joseph John, Tim Spelman, Thomas L Snelling, Vivekanand Jha, Steven Y C Tong, David Paterson, Balasubramanian Venkatesh, Naomi Hammond, James McFadyen, Robert Medcalf, Huyen Tran, Asha Bowen, Sanjeev Chunilal, Megan Rees, Joshua Davis, Justin Denholm, Susan Morpeth, Ian C Marschner, James McGree, James A Totterdell, Robert K Mahar, Bhupendra Basnet, Grace McPhee, Zoe McQuilten, Matthew O’Sullivan, Nanette Trask, Jennifer Curnow, Eileen Merriman, Todd Cooper, Julie Marsh
Publikováno v:
BMJ Medicine, Vol 2, Iss 1 (2023)
Adaptive clinical trials have designs that evolve over time because of changes to treatments or changes to the chance that participants will receive these treatments. These changes might introduce confounding that biases crude comparisons of the trea
Externí odkaz:
https://doaj.org/article/d5fb4ca321794c40b2977505be9d9985
Publikováno v:
BMC Medical Research Methodology, Vol 22, Iss 1, Pp 1-12 (2022)
Abstract Background The classical linear model is widely used in the analysis of clinical trials with continuous outcomes. However, required model assumptions are frequently not met, resulting in estimates of treatment effect that can be inefficient
Externí odkaz:
https://doaj.org/article/30edc08481d74ae39f4a8b5b41e2e614
Autor:
Ian C. Marschner
Publikováno v:
BMC Medical Research Methodology, Vol 21, Iss 1, Pp 1-10 (2021)
Abstract Background Mortality is a key component of the natural history of COVID-19 infection. Surveillance data on COVID-19 deaths and case diagnoses are widely available in the public domain, but they are not used to model time to death because the
Externí odkaz:
https://doaj.org/article/b53c8bc1a5904ce081e34e94787ba896
Autor:
Finn Rasmussen, Hein Raat, Cristina Palacios, Barry J Taylor, Lisa Askie, Alison Hayes, Karen Campbell, Wendy Smith, Luke Wolfenden, Sharleen O’Reilly, Eva Corpeleijn, Maria Bryant, Chris Rissel, Denise O’Connor, Paul Chadwick, Jessica Thomson, Anna Lene Seidler, Kylie E Hunter, Ian Paul, Rachael W Taylor, Angie Barba, Kristy Robledo, Ken Ong, Carolina González Acero, Kylie D Hesketh, Rebecca K Golley, David Espinoza, Sarah Taki, Rachael Taylor, Louise A Baur, Li Ming Wen, Seema Mihrshahi, Emily Oken, Barry Taylor, Ian Marschner, Junilla K Larsen, Kylie Hesketh, Rajalakshmi Lakshman, Amanda L Thompson, Sharleen L O'Reilly, Charles Wood, Alison J Hayes, Kaumudi Joshipura, Lynne Daniels, Alison Karasz, Rebecca Golley, Kaumudi J Joshipura, Nina Cecilie Øverby, Brittany J Johnson, Mason Aberoumand, Sol Libesman, Kristy P Robledo, Charles T Wood, Lukas P Staub, Michelle Sue-See, Ian C Marschner, Jessica L Thomson, Vera Verbestel, Cathleen Odar Stough, Sarah-Jeanne Salvy, Levie T Karssen, Finn E Rasmussen, Mary Jo Messito, Rachel S Gross, Ian M Paul, Ana M Linares, Heather M Wasser, Claudio Maffeis, Ata Ghaderi, Jinan C Banna, Maribel Campos Rivera, Ana B Pérez-Expósito, Jennifer S Savage, Margrethe Røed, Michael Goran, Kayla de la Haye, Stephanie Anzman-Frasca, Kylie Hunter, Brittany Johnson, Louise Baur, Lukas Staub, Shonna Yin, Lee Sanders, Amanda Thompson, Ana Maria Linares, Ana Perez Exposito, Christine Helle, Eliana Perrin, Heather Wasser, Jennifer Savage, Jinan Banna, Junilla Larsen, Kayla dela Haye, Levie Karssen, Nina Øverby, Rachel Gross, Russell Rothman
Publikováno v:
BMJ Open, Vol 12, Iss 1 (2022)
Externí odkaz:
https://doaj.org/article/d4dc2f7a97504b29ba0c2894096f2178
Autor:
Finn Rasmussen, Hein Raat, Cristina Palacios, Barry J Taylor, Lisa Askie, Alison Hayes, Cindy-Lee Dennis, Karen Campbell, Wendy Smith, Luke Wolfenden, Sharleen O’Reilly, Eva Corpeleijn, Maria Bryant, Chris Rissel, Denise O’Connor, Paul Chadwick, Jessica Thomson, Anna Lene Seidler, Kylie E Hunter, Rachael W Taylor, Angie Barba, Kristy Robledo, Ken Ong, Carolina González Acero, Ana Pérez-Expósito, Kylie D Hesketh, Rebecca K Golley, David Espinoza, Ken K Ong, Sarah Taki, Rachael Taylor, Louise A Baur, Li Ming Wen, Seema Mihrshahi, Emily Oken, Barry Taylor, Ian Marschner, Junilla K Larsen, Kylie Hesketh, Rajalakshmi Lakshman, Amanda L Thompson, Sharleen L O'Reilly, Jonathan Williams, Charles Wood, Alison J Hayes, Kaumudi Joshipura, Hongping Xia, Lynne Daniels, Rebecca Byrne, Alison Karasz, Rebecca Golley, Kaumudi J Joshipura, Angela Webster, Nina Cecilie Øverby, Brittany J Johnson, Mason Aberoumand, Sol Libesman, Kristy P Robledo, Charles T Wood, Lukas P Staub, Michelle Sue-See, Ian C Marschner, Jessica L Thomson, Vera Verbestel, Sarah-Jeanne Salvy, Levie T Karssen, Finn E Rasmussen, Mary Jo Messito, Rachel S Gross, Ian M Paul, Heather M Wasser, Claudio Maffeis, Ata Ghaderi, Jinan C Banna, Maribel Campos Rivera, Ana B Pérez-Expósito, Jennifer S Savage, Margrethe Røed, Michael Goran, Kayla de la Haye, Stephanie Anzman-Frasca, Kylie Hunter, Brittany Johnson, Louise Baur, Lukas Staub, Shonna Yin, Lee Sanders, Amanda Thompson, Ana Maria Linares, Cathleen Odar Stough, Christine Helle, Eliana Perrin, Heather Wasser, Jinan Banna, Kayla dela Haye, Levie Karssen, Nina Øverby, Rachel Gross, Russell Rothman, Wendy A Smith, Alexander Fiks, Deborah Jacobvitz, Jennifer Savage Williams, Márcia Regina Vitolo, Elizabeth Widen
Publikováno v:
BMJ Open, Vol 12, Iss 1 (2022)
Externí odkaz:
https://doaj.org/article/091bcf02122241f490982c3cf8dab1fd
Autor:
Mark W. Donoghoe, Ian C. Marschner
Publikováno v:
Journal of Statistical Software, Vol 86, Iss 1, Pp 1-22 (2018)
Relative risk regression using a log-link binomial generalized linear model (GLM) is an important tool for the analysis of binary outcomes. However, Fisher scoring, which is the standard method for fitting GLMs in statistical software, may have diffi
Externí odkaz:
https://doaj.org/article/9259858ee7ec403cb7132d8407aab8d9
Autor:
Mark W. Donoghoe, Ian C. Marschner
Publikováno v:
Communications in Statistics - Simulation and Computation. :1-18
Publikováno v:
Statistical Methods in Medical Research. 31:2456-2469
When a clinical trial stops early for benefit, the maximum likelihood estimate (MLE) of the treatment effect may be subject to overestimation bias. Several authors have proposed adjusting for this bias using the conditional MLE, which is obtained by
Autor:
Ian C Marschner, I Manjula Schou
Publikováno v:
Clinical Trials. 19:479-489
Background Adaptive platform trials allow randomized controlled comparisons of multiple treatments using a common infrastructure and the flexibility to adapt key design features during the study. Nonetheless, they have been criticized due to the pote
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