Zobrazeno 1 - 10
of 246
pro vyhledávání: '"Glimm, Ekkehard"'
Publikováno v:
Statistical Methods in Medical Research, 2024
Platform trials are randomized clinical trials that allow simultaneous comparison of multiple interventions, usually against a common control. Arms to test experimental interventions may enter and leave the platform over time. This implies that the n
Externí odkaz:
http://arxiv.org/abs/2304.03035
Autor:
Meyer, Elias Laurin, Mesenbrink, Peter, Di Prospero, Nicholas A., Pericàs, Juan M., Glimm, Ekkehard, Ratziu, Vlad, Sena, Elena, König, Franz
Non-alcoholic steatohepatitis (NASH) is the progressive form of nonalcoholic fatty liver disease (NAFLD) and a disease with high unmet medical need. Platform trials provide great benefits for sponsors and trial participants in terms of accelerating d
Externí odkaz:
http://arxiv.org/abs/2210.06228
Autor:
Glimm, Ekkehard, Robertson, David
Response-adaptive randomization allows the probabilities of allocating patients to treatments in a clinical trial to change based on the previously observed response data, in order to achieve different experimental goals. One concern over the use of
Externí odkaz:
http://arxiv.org/abs/2204.05734
Autor:
Meyer, Elias Laurin, Mesenbrink, Peter, Dunger-Baldauf, Cornelia, Glimm, Ekkehard, König, Franz
Platform trials have gained a lot of attention recently as a possible remedy for time-consuming classical two-arm randomized controlled trials, especially in early phase drug development. This short article illustrates how to use the CohortPlat R pac
Externí odkaz:
http://arxiv.org/abs/2202.02182
Autor:
Roig, Marta Bofill, Krotka, Pavla, Burman, Carl-Fredrik, Glimm, Ekkehard, Gold, Stefan M., Hees, Katharina, Jacko, Peter, Koenig, Franz, Magirr, Dominic, Mesenbrink, Peter, Viele, Kert, Posch, Martin
Publikováno v:
BMC Medical Research Methodology (2022)
Platform trials can evaluate the efficacy of several treatments compared to a control. The number of treatments is not fixed, as arms may be added or removed as the trial progresses. Platform trials are more efficient than independent parallel-group
Externí odkaz:
http://arxiv.org/abs/2112.06574
Autor:
Glimm, Ekkehard, Yau, Lillian
Publikováno v:
Pharmaceutical Statistics 2022
We discuss how to handle matching-adjusted indirect comparison (MAIC) from a data analyst's perspective. We introduce several multivariate data analysis methods to assess the appropriateness of MAIC for a given data set. These methods focus on compar
Externí odkaz:
http://arxiv.org/abs/2108.01896
Autor:
Meyer, Elias Laurin, Mesenbrink, Peter, Dunger-Baldauf, Cornelia, Glimm, Ekkehard, Li, Yuhan, König, Franz
Platform trials have become increasingly popular for drug development programs, attracting interest from statisticians, clinicians and regulatory agencies. Many statistical questions related to designing platform trials - such as the impact of decisi
Externí odkaz:
http://arxiv.org/abs/2103.09547
Causal inference methods are gaining increasing prominence in pharmaceutical drug development in light of the recently published addendum on estimands and sensitivity analysis in clinical trials to the E9 guideline of the International Council for Ha
Externí odkaz:
http://arxiv.org/abs/2012.03786
Autor:
Sánchez-Montalva, Adrian, Estevez, Ana Belén, Sánchez, Àlex, Sanjuan, Anna, Sena, Elena, Granados, Emma, Arévalo de Andrés, Esther, Nuñez, Fátima, Arteaga, Gara, Fuentes Ruiz, Gabriela Perez, Fernández, Guillermo, Rivera-Esteban, Jesus, Comella, Joan, Ramos-Quiroga, Josep Antoni, Genescà, Joan, Espinosa, Juan, Pericàs, Juan Manuel, Murcia, Lada, Cash-Gibson, Lucinda, de Valles Silvosa, Maria, Barroso de Sousa, María Fernanda, Sánchez-Maroto Carrizo, Olga, Ibañez-Jiménez, Pol, Augustin, Salvador, Perez-Hoyos, Santiago, Rodríguez-Navarro, Sarai, Muñoz-Martínez, Sergio, Serres, Silvia, Kalko, Susana, Michon, Amelie, Ussi, Anton, Lydall, Ben, van de Ketterij, Edwin, Quiles, Ignacio, Carapina, Tamara, Kumaus, Constantin, Ramazanova, Dariga, Meyer, Elias Laurin, Koenig, Franz, Roig, Marta Bofill, Brunner, Martin, Posch, Martin, Krotka, Pavla, Zehetmayer, Sonja, Carton, Charlotte, Legius, Eric, Begum, Amina, Pariante, Carmine, Worrell, Courtney, Lombardo, Giulia, Sforzini, Luca, Brown, Mollie, Gullet, Nancy, Amasi-Hartoonian, Nare, Ferner, Rosalie, Kose, Melisa, Spitaleri, Andrea, Ghodousi, Arash, Di Serio, Clelia, Cirillo, Daniela, Cugnata, Federica, Saluzzo, Francesca, Benedetti, Francesco, Scarale, Maria Giovanna, Zini, Michela, Rancoita, Paola Maria, Alagna, Riccardo, Poletti, Sara, Dhaenens, Britt, Van Der Lei, Johan, de Steenwinkel, Jurriaan, Moinat, Maxim, Oostenbrink, Rianne, Hoogendijk, Witte, Hölscher, Michael, Heinrich, Norbert, Otte, Christian, Potratz, Cornelia, Zocholl, Dario, Kulakova, Eugenia, Tacke, Frank, Brasanac, Jelena, Leubner, Jonas, Krajewska, Maja, Freitag, Michaela Maria, Gold, Stefan, Zoller, Thomas, Chae, Woo Ri, Daniel, Christel, Kara, Leila, Vaterkowski, Morgan, Griffon, Nicolas, Wolkenstein, Pierre, Pais, Raluca, Ratziu, Vlad, Voets, David, Maes, Christophe, Kalra, Dipak, Thienpoint, Geert, Deckerck, Jens, Lea, Nathan, Singleton, Peter, Viele, Kert, Jacko, Peter, Berry, Scott, Parke, Tom, Aydin, Burç, Kubiak, Christine, Demotes, Jacques, Ueda, Keiko, Matei, Mihaela, Contrino, Sergio, Röhl, Claas, Cordero, Estefania, Greenhalgh, Fiona, Jarke, Hannes, Angelova, Juliana, Boudes, Mathieu, Dressler, Stephan, Strammiello, Valentina, Anstee, Quentin, Gutierrez-Ibarluzea, Iñaki, Otte, Maximilian, Heimbach, Natalie, Hofner, Benjamin, Burgwinkel, Cora, Kaestel, Hue, Hees, Katharina, Nguyen, Quynh, Prieto-Alhambra, Daniel, Tan, Eng Hooi (Cheryl), Raviglione, Mario, de Colombani, Pierpaolo, Villa, Simone, Maron, Eduard, Evans, Gareth, Savitz, Adam J., Van Dessel, Ann, Duca, Anna, Kaminski, Anne, Wouters, Bie, Porter, Brandon, Charron, Catherine, Spiertz, Cecile, Zizzamia, Christopher, Millar, Daniel, Hasselbaink, Danny, Orr, David, Kesters, Divya, Hubin, Ellen, Davies, Emma, Didden, Eva-Maria, Guz, Gabriela, Verstraete, Evelyn, Mao, Gary, Capuano, George, Martynowicz, Heddie, De Smedt, Heidi, Larsson, Ingela, Bruegelmans, Ines, Coste, Isabelle, Gonzalez Moreno, Jesus Maria, Niewczas, Julia, Xu, Jiajun, Rombouts, Karin, Woo, Katherine, Wuyts, Kathleen, Hersh, Kathryn, Oldenburg, Khrista, Zhang, Lingjiao, Schmidt, Mark, Szuch, Mark, Todorovic, Marija, Mangelaars, Maartje, Grewal, Melissa, Sandor, Molli, Di Prospero, Nick, Van Houten, Pamela, Minnick, Pansy, Bastos, Polyana, Patrizi, Robert, Morello, Salvatore, De Wilde, Severijn, Sun, Tao, Kline, Timothy, de Marez, Tine, Mielke, Tobias, Reijns, Tom, Popova, Vanina, Flossbach, Yanina, Tymofyeyev, Yevgen, De Groote, Zeger, Sverdlov, Alex, Bobirca, Alexandra, Krause, Annekatrin, Bobrica, Catalin, Heintz, Daniela, Magirr, Dominic, Glimm, Ekkehard, Baffert, Fabienne, Castiglione, Federica, Caruso, Franca, Patalano, Francesco, Bretz, Frank, Heimann, Guenter, Carbarns, Ian, Rodríguez, Ignacio, Ratescu, Ioana, Hampson, Lisa, Pedrosa, Marcos, Hark, Mareile, Mesenbrink, Peter, Penna, Sabina Hernandez, Bergues-Lang, Sarah, Baltes-Engler, Susanne, Arsiwala, Tasneem, Mondragon, Valeria Jordan, Guo, Hua, Da Costa, Jose Leite, Burman, Carl-Fredrik, Kirk, George, Aaes-Jørgensen, Anders, Dirach, Jorgen, Kjær, Mette Skalshøi, Martin, Alexandra, Hristov, Diyan, Rousseaux, Florent, Hittel, Norbert, Dornheim, Robert, Evans, Daniel, Sykes, Nick, Couvert, Camille, Leuven, Catherine, Notelet, Loïc, Gidh-Jain, Madhavi, Jouannin, Mathieu, Ammour, Nadir, Pierre, Suzanne, Haufe, Volker, Dong, Yingwen, Dubanchet, Catherine, de Préville, Nathalie, Baltauss, Tania, Jian, Zhu, Shnider, Sara, Bar-El, Tal, Bakker, Annette, Nievo, Marco, Iloeje, Uche, Conradie, Almari, Auffarrth, Ece, Lombard, Leandra, Benhayoun, Majda, Olugbosi, Morounfolu, Seidel, Stephanie S., Gumí, Berta, Guzmán, Claudia García, Molero, Eva, Pairó, Gisela, Machin, Núria, Cardelús, Raimon, Ramasastry, Saira, Pelzer, Saskia, Kremer, Andreas, Lindfors, Erno, Lynch, Chris, Spiertz, Cécile, Machín, Núria, Pericàs, Juan M.
Publikováno v:
In eClinicalMedicine January 2024 67
Publikováno v:
Statistics in Biopharmaceutical Research 2021
This paper investigates type I error violations that occur when blinded sample size reviews are applied in equivalence testing. We give a derivation which explains why such violations are more pronounced in equivalence testing than in the case of sup
Externí odkaz:
http://arxiv.org/abs/1908.04695