Literature DB >> 18463389

More on subgroup analyses in clinical trials.

Stuart J Pocock, Jacobus Lubsen.   

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Year:  2008        PMID: 18463389     DOI: 10.1056/NEJMc0800616

Source DB:  PubMed          Journal:  N Engl J Med        ISSN: 0028-4793            Impact factor:   91.245


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  13 in total

Review 1.  Personalized evidence based medicine: predictive approaches to heterogeneous treatment effects.

Authors:  David M Kent; Ewout Steyerberg; David van Klaveren
Journal:  BMJ       Date:  2018-12-10

Review 2.  Bridging the efficacy-effectiveness gap: a regulator's perspective on addressing variability of drug response.

Authors:  Hans-Georg Eichler; Eric Abadie; Alasdair Breckenridge; Bruno Flamion; Lars L Gustafsson; Hubert Leufkens; Malcolm Rowland; Christian K Schneider; Brigitte Bloechl-Daum
Journal:  Nat Rev Drug Discov       Date:  2011-07-01       Impact factor: 84.694

3.  Estimates of absolute treatment benefit for individual patients required careful modeling of statistical interactions.

Authors:  David van Klaveren; Yvonne Vergouwe; Vasim Farooq; Patrick W Serruys; Ewout W Steyerberg
Journal:  J Clin Epidemiol       Date:  2015-02-27       Impact factor: 6.437

4.  Development and validation of a simplified Stroke-Thrombolytic Predictive Instrument.

Authors:  David M Kent; Robin Ruthazer; Carole Decker; Philip G Jones; Jeffrey L Saver; Erich Bluhmki; John A Spertus
Journal:  Neurology       Date:  2015-08-19       Impact factor: 9.910

5.  Evaluation of treatment-effect heterogeneity using biomarkers measured on a continuous scale: subpopulation treatment effect pattern plot.

Authors:  Ann A Lazar; Bernard F Cole; Marco Bonetti; Richard D Gelber
Journal:  J Clin Oncol       Date:  2010-09-13       Impact factor: 44.544

6.  Improving Patient Care Using the Johnson-Neyman Analysis of Heterogeneity of Treatment Effects According to Individuals' Baseline Characteristics.

Authors:  Ann A Lazar; Stuart A Gansky; Donald D Halstead; Anthony Slajs; Jane A Weintraub
Journal:  J Dent Oral Craniofac Epidemiol       Date:  2013-10-01

7.  Using group data to treat individuals: understanding heterogeneous treatment effects in the age of precision medicine and patient-centred evidence.

Authors:  Issa J Dahabreh; Rodney Hayward; David M Kent
Journal:  Int J Epidemiol       Date:  2016-12-01       Impact factor: 7.196

8.  Efficacy and safety of rivaroxaban compared with warfarin in patients with carotid artery disease and nonvalvular atrial fibrillation: Insights from the ROCKET AF trial.

Authors:  Ajar Kochar; Anne S Hellkamp; Yuliya Lokhnygina; W Schuyler Jones; Richard C Becker; Scott D Berkowitz; Günter Breithardt; Keith A A Fox; Jonathan L Halperin; Graeme J Hankey; Kenneth W Mahaffey; Christopher C Nessel; Daniel E Singer; Jonathan P Piccini; Manesh R Patel
Journal:  Clin Cardiol       Date:  2018-02-01       Impact factor: 2.882

9.  Absolute Benefit of Adjuvant Endocrine Therapies for Premenopausal Women With Hormone Receptor-Positive, Human Epidermal Growth Factor Receptor 2-Negative Early Breast Cancer: TEXT and SOFT Trials.

Authors:  Meredith M Regan; Prudence A Francis; Olivia Pagani; Gini F Fleming; Barbara A Walley; Giuseppe Viale; Marco Colleoni; István Láng; Henry L Gómez; Carlo Tondini; Graziella Pinotti; Karen N Price; Alan S Coates; Aron Goldhirsch; Richard D Gelber
Journal:  J Clin Oncol       Date:  2016-04-04       Impact factor: 44.544

10.  Identifying treatment effect heterogeneity in clinical trials using subpopulations of events: STEPP.

Authors:  Ann A Lazar; Marco Bonetti; Bernard F Cole; Wai-Ki Yip; Richard D Gelber
Journal:  Clin Trials       Date:  2015-10-22       Impact factor: 2.486

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