Results 21 to 30 of about 2,229,955 (197)

Individual participant data meta-analysis with mixed-effects transformation models [PDF]

Biostatistics, 2021
SummaryOne-stage meta-analysis of individual participant data (IPD) poses several statistical and computational challenges. For time-to-event outcomes, the approach requires the estimation of complicated nonlinear mixed-effects models that are flexible enough to realistically capture the most important characteristics of the IPD.
Tamási, Bálint, Crowther, Michael, Puhan, Milo Alan, Steyerberg, Ewout W, Hothorn, Torsten   +4 more
openaire   +2 more sources

Systematic review and network meta-analysis with individual participant data on cord management at preterm birth (iCOMP): study protocol [PDF]

, 2020
Introduction Timing of cord clamping and other cord management strategies may improve outcomes at preterm birth. However, it is unclear whether benefits apply to all preterm subgroups.
Andersson, Ola, Askie, Lisa, Barba, Angie, Datta, Vikram, Davis, Peter G., De Paco Matallana, Catalina, Debray, Thomas, Dempsey, Eugene, Duley, Lelia, El-Naggar, Walid, Fairchild, Karen, Hooper, Stuart B., Hosono, Shigeharu, Hunter, Kylie E., Josephsen, Justin, Katheria, Anup C., Kattwinkel, John, Kluckow, Martin, Mercer, Judith, Montgomery, Alan, Polglase, Graeme, Rabe, Heike, Seidler, Anna Lene, Simes, John, Sundaram, Venkataseshan, Tarnow-Mordi, William   +25 more
core   +3 more sources

an individual participant data meta-analysis [PDF]

, 2016
Background The impact of neuraminidase inhibitors (NAIs) on influenza-related pneumonia (IRP) is not established. Our objective was to investigate the association between NAI treatment and IRP incidence and outcomes in patients hospitalised with A(H1N1 ...
Al Mamun, Abdullah, Anovadiya, Ashish P., Araujo, Wildo N., Azziz-Baumgartner, Eduardo, Baez, Clarisa, Bantar, Carlos, Barhoush, Mazen M., Bassetti, Matteo, Beovic, Bojana, Bingisser, Roland, Bonmarin, Isabelle, Borja-Aburto, Victor H., Cao, Bin, Carratala, Jordi, Cuezzo, Maria R., Denholm, Justin T., Dominguez, Samuel R., Duarte, Pericles A. D., Dubnov-Raz, Gal, Echavarria, Marcela, Fanella, Sergio, Fraser, James, Gao, Zhancheng, Gerardin, Patrick, Giannella, Maddalena, Gubbels, Sophie, Herberg, Jethro, Higuera Iglesias, Anjarath L., Hoeger, Peter H., Hoffmann, Matthias, Hu, Xiaoyun, Islam, Quazi T., Jimenez, Mirela F., Kandeel, Amr, Keijzers, Gerben, Khalili, Hossein, Khandaker, Gulam, Knight, Marian, Kusznierz, Gabriela, Kuzman, Ilija, Kwan, Arthur M. C., Lahlou Amine, Idriss, Langenegger, Eduard, Lankarani, Kamran B., Leo, Yee-Sin, Leonardi-Bee, Jo, Lim, Wei Shen, Muthuri, Stella G., Myles, Puja R., Venkatesan, Sudhir   +49 more
core   +1 more source

Using individual participant data to improve network meta-analysis projects [PDF]

BMJ Evidence-Based Medicine, 2022
A network meta-analysis combines the evidence from existing randomised trials about the comparative efficacy of multiple treatments. It allows direct and indirect evidence about each comparison to be included in the same analysis, and provides a coherent framework to compare and rank treatments.
Riley, Richard D, Dias, Sofia, Donegan, Sarah, Tierney, Jayne F., Stewart, Lesley, Efthimiou, Orestis, Phillippo, David   +6 more
openaire   +8 more sources

Bacterial Signatures of Paediatric Respiratory Disease: An Individual Participant Data Meta-Analysis

Frontiers in Microbiology, 2021
Introduction: The airway microbiota has been linked to specific paediatric respiratory diseases, but studies are often small. It remains unclear whether particular bacteria are associated with a given disease, or if a more general, non-specific ...
David T. J. Broderick, David W. Waite, Robyn L. Marsh, Carlos A. Camargo, Carlos A. Camargo, Carlos A. Camargo, Paul Cardenas, Anne B. Chang, Anne B. Chang, Anne B. Chang, William O. C. Cookson, William O. C. Cookson, Leah Cuthbertson, Wenkui Dai, Mark L. Everard, Alain Gervaix, J. Kirk Harris, Kohei Hasegawa, Kohei Hasegawa, Kohei Hasegawa, Lucas R. Hoffman, Lucas R. Hoffman, Soo-Jong Hong, Laurence Josset, Matthew S. Kelly, Bong-Soo Kim, Yong Kong, Shuai C. Li, Shuai C. Li, Jonathan M. Mansbach, Jonathan M. Mansbach, Asuncion Mejias, George A. O’Toole, Laura Paalanen, Marcos Pérez-Losada, Marcos Pérez-Losada, Melinda M. Pettigrew, Maxime Pichon, Maxime Pichon, Octavio Ramilo, Lasse Ruokolainen, Olga Sakwinska, Patrick C. Seed, Christopher J. van der Gast, Brandie D. Wagner, Hana Yi, Edith T. Zemanick, Yuejie Zheng, Naveen Pillarisetti, Michael W. Taylor   +49 more
doaj   +1 more source

Natriuretic peptides and integrated risk assessment for cardiovascular disease. an individual-participant-data meta-analysis [PDF]

, 2016
BACKGROUND: Guidelines for primary prevention of cardiovascular diseases focus on prediction of coronary heart disease and stroke. We assessed whether or not measurement of N-terminal-pro-B-type natriuretic peptide (NT-proBNP) concentration could enable ...
Adam S, Butterworth, Andreas, Luchner, Angela M, Wood, Brendan, M. Everett, Børge G, Nordestgaard, Caroline, N. Kistorp, Christie M, Ballantyne, Christopher, Defilippi, Daniel F, Freitag, Daniel, Levy, Demosthenes, B. Panagiotakos, DI ANGELANTONIO, EMANUELE, Frank, Kee, Goya Wannamethee, S, James A, de Lemos, Jari A. Laukkanen, Maryam Kavousi, Jens, Rosenberg, Johan, Ärnlöv, John, Danesh, Jonas, Andersson, Jorge R, Kizer, Juan Pablo, Casas, Jukka, T. Salonen, Jussi, Kauhanen, Lars, Lind, Lisa, Pennells, Lori B, Daniels, Mary, Cushman, Michael, Hecht Olsen, Michael, Sweeting, Nancy, R. Cook, Naveed, Sattar, Olle, Melander, Oscar, H. Franco, Paul M, Ridker, Pei, Gao, Peter, Willeit, Rajiv, Chowdhury, RUBATTU, Speranza Donatella, Rudolf, A. de Boer, Sarah, A. Spackman, Simon G, Thompson, Stefan, Kiechl, Stella, Trompet, Stephen Kaptoge, Paul Welsh, Stephen, Burgess, Suzanne, Judd, Thomas, Mueller, Torben, Jørgensen, Toshiharu, Ninomiya, Veikko, Salomaa, Vijay, Nambi, Vilmundur, Gudnason, Wayne, D. Rosamond   +53 more
core   +1 more source

Testing moderation in network meta‐analysis with individual participant data [PDF]

Statistics in Medicine, 2016
Meta‐analytic methods for combining data from multiple intervention trials are commonly used to estimate the effectiveness of an intervention. They can also be extended to study comparative effectiveness, testing which of several alternative interventions is expected to have the strongest effect.
Dagne, Getachew A., Brown, C. Hendricks, Howe, George, Kellam, Sheppard G., Liu, Lei   +4 more
openaire   +3 more sources

Commentary: Meta-analysis of Individual Participants' Data in Genetic Epidemiology [PDF]

American Journal of Epidemiology, 2002
The authors summarize their experience in the conduct of meta-analysis of individual participants' data (MIPD) with time-to-event analyses in the field of genetic epidemiology. The MIPD offers many advantages compared with a meta-analysis of the published literature. These include standardization of case definitions, outcomes, and covariates; inclusion
Ioannidis, J. P., Rosenberg, P. S., Goedert, J. J., O'Brien, T. R.   +3 more
openaire   +3 more sources

Carbamazepine versus phenobarbitone monotherapy for epilepsy: an individual participant data review. [PDF]

, 2016
This is an updated version of the original Cochrane Review, first published in Issue 1, 2003 and updated in 2015. This review is one in a series of Cochrane Reviews investigating pair-wise monotherapy comparisons.Epilepsy is a common neurological ...
Marson, AG, Nolan, SJ, Tudur Smith, C, Weston, J   +3 more
core   +1 more source

Combining multiple imputation and meta‐analysis with individual participant data [PDF]

Statistics in Medicine, 2013
Multiple imputation is a strategy for the analysis of incomplete data such that the impact of the missingness on the power and bias of estimates is mitigated. When data from multiple studies are collated, we can propose both within‐study and multilevel imputation models to impute missing data on covariates.
Burgess, Stephen, White, Ian R., Resche-Rigon, Matthieu, Wood, Angela M.   +3 more
openaire   +3 more sources