✦ LIBER ✦

Publication bias and clinical trials

✍ Scribed by K. Dickersin; S. Chan; T.C. Chalmersx; H.S. Sacks; H. Smith Jr.

Book ID: 119143572
Publisher: Elsevier Science
Year: 1987
Tongue: English
Weight: 686 KB
Volume: 8
Category: Article
ISSN: 0197-2456
DOI: 10.1016/0197-2456(87)90155-3

No coin nor oath required. For personal study only.

📜 SIMILAR VOLUMES

Evidence of publication bias in clinical

Evidence of publication bias in clinical trials of biotherapies for solid tumors

✍ Alessandro Ottaiano; Giuseppe Castello; Paolo Antonio Ascierto 📂 Article 📅 2005 🏛 John Wiley and Sons 🌐 English ⚖ 33 KB

An international survey to identify unpu

An international survey to identify unpublished and ongoing perinatal trials: Jini Hetherington The Project on Publication Bias in Clinical Trials, National Perinatal Epidemiology Unit, Radcliffe Infirmary, Oxford, England, Johns Hopkins School of Public Health and Harvard School of Public Health(23)

📂 Article 📅 1987 🏛 Elsevier Science 🌐 English ⚖ 70 KB

Assessing the magnitude of publication b

Assessing the magnitude of publication bias in clinical trials: Jesse A. Berlin, Colin B. Begg, and Thomas A. Louis Department of Biostatistics, Harvard School of Public Health, Boston, Massachusetts(S02)

📂 Article 📅 1987 🏛 Elsevier Science 🌐 English ⚖ 109 KB

382 Quantifying publication bias in cyst

382 Quantifying publication bias in cystic fibrosis clinical trials

✍ M.N. Hurley; A.P. Prayle; A. Smyth 📂 Article 📅 2011 🏛 Elsevier Science 🌐 English ⚖ 40 KB

Reducing publication bias of prospective

Reducing publication bias of prospective clinical trials through trial registration

✍ Lisa N. Abaid; David A. Grimes; Kenneth F. Schulz 📂 Article 📅 2007 🏛 Elsevier Science 🌐 English ⚖ 88 KB

Ignorability and bias in clinical trials

✍ Daniel F. Heitjan 📂 Article 📅 1999 🏛 John Wiley and Sons 🌐 English ⚖ 123 KB 👁 2 views

Patient non-compliance and drop-out can bias analyses of clinical trial data. I describe a parametric model for treatment cross-over and drop-out and demonstrate how the concept of ignorability, originally de"ned for incomplete-data problems, can elucidate sources of bias in clinical trials. I discu