Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Jonathan A C Sterne"'
Autor:
Nuala A. Sheehan, Vanessa Didelez, Sha Meng, Jonathan A C Sterne, Tom Palmer, Roger M. Harbord
Publikováno v:
Statistics in Medicine. 32:1246-1258
Mendelian randomization studies estimate causal effects using genetic variants as instruments. Instrumental variable methods are straightforward for linear models, but epidemiologists often use odds ratios to quantify effects. Also, odds ratios are o
Autor:
Hansjakob Furrer, Odd O. Aalen, Marcel Wolbers, Vanessa Didelez, Bruno Ledergerber, Jonathan A C Sterne, Viktor von Wyl, Jon Michael Gran, Kjetil Røysland
Publikováno v:
Statistics in Medicine. 29:2757-2768
When estimating the effect of treatment on HIV using data from observational studies, standard methods may produce biased estimates due to the presence of time-dependent confounders. Such confounding can be present when a covariate, affected by past
Publikováno v:
Statistics in Medicine. 25:3443-3457
Publication bias and related bias in meta-analysis is often examined by visually checking for asymmetry in funnel plots of treatment effect against its standard error. Formal statistical tests of funnel plot asymmetry have been proposed, but when app
Autor:
Matthias Egger, Jonathan A C Sterne, Kenneth F. Schulz, Christopher W. Bartlett, Peter Jüni, Douglas G. Altman
Publikováno v:
Statistics in Medicine. 21:1513-1524
Biases in systematic reviews and meta-analyses may be examined in 'meta-epidemiological' studies, in which the influence of trial characteristics such as measures of study quality on treatment effect estimates is explored. Published studies to date h
Publikováno v:
Statistics in Medicine. 20:685-704
In measuring the progression of, or recovery from, a disease an individual's outcome may be assessed on a number of occasions. A model of the relationship between outcome and time since disease occurred which accounts for patient characteristics coul
Publikováno v:
Statistics in medicine. 32(9)
Longitudinal studies, where data are repeatedly collected on subjects over a period, are common in medical research. When estimating the effect of a time-varying treatment or exposure on an outcome of interest measured at a later time, standard metho
Autor:
Jonathan A C, Sterne, Peter, Jüni, Kenneth F, Schulz, Douglas G, Altman, Christopher, Bartlett, Matthias, Egger
Publikováno v:
Statistics in medicine. 21(11)
Biases in systematic reviews and meta-analyses may be examined in 'meta-epidemiological' studies, in which the influence of trial characteristics such as measures of study quality on treatment effect estimates is explored. Published studies to date h
Autor:
Jonathan A C Sterne
Publikováno v:
Statistics in medicine. 21(7)
Confusion in the teaching of statistical inference dates back to the conflict of Fisher's P-values and significance tests with the Neyman-Pearson hypothesis testing approach. To avoid the well-known pitfalls arising from over-reliance on significance