Zobrazeno 1 - 10
of 61
pro vyhledávání: '"John B. Copas"'
Autor:
Shinto Eguchi, John B. Copas
Publikováno v:
Annals of the Institute of Statistical Mathematics. 72:329-352
Most statistical methods are based on models, but most practical applications ignore the fact that the results depend on the model as well as on the data. This paper examines the size of this model dependence, and finds that there can be very conside
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::66faeac2b306d50e4477450a9ea8279a
https://doi.org/10.1007/s10463-018-0691-8
https://doi.org/10.1007/s10463-018-0691-8
Publikováno v:
Journal of the Royal Statistical Society. Series C, Applied Statistics
Summary Univariate meta‐analysis concerns a single outcome of interest measured across a number of independent studies. However, many research studies will have also measured secondary outcomes. Multivariate meta‐analysis allows us to take these
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::7348ac832d3a696c6235bd7132984111
https://pubmed.ncbi.nlm.nih.gov/30344346
https://pubmed.ncbi.nlm.nih.gov/30344346
Publikováno v:
Statistical Methods in Medical Research. 26:2853-2868
Multivariate and network meta-analysis have the potential for the estimated mean of one effect to borrow strength from the data on other effects of interest. The extent of this borrowing of strength is usually assessed informally. We present new math
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a711a9dd6a695b1868248a961713b961
https://doi.org/10.1177/0962280215611702
https://doi.org/10.1177/0962280215611702
Publikováno v:
Statistical Methods in Medical Research
Outcome reporting bias occurs when outcomes in research studies are selectively reported, the selection being influenced by the study results. For benefit outcomes, we have shown how risk assessments using the Outcome Reporting Bias in Trials risk cl
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2e7b6fafca97dc83435f49f65a9b3b90
https://pubmed.ncbi.nlm.nih.gov/29134855
https://pubmed.ncbi.nlm.nih.gov/29134855
Publikováno v:
Biometrics. 71:404-416
Summary In the classic discriminant model of two multivariate normal distributions with equal variance matrices, the linear discriminant function is optimal both in terms of the log likelihood ratio and in terms of maximizing the standardized differe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a1203c60f6b27ce88085862f5c081d62
https://doi.org/10.1111/biom.12265
https://doi.org/10.1111/biom.12265
Autor:
John B. Copas
Publikováno v:
Journal of the Royal Statistical Society Series C: Applied Statistics. 62:47-66
Summary A common conjecture in the study of publication bias is that studies reporting a significant result are more likely to be selected for review than studies whose results are inconclusive. We envisage a population of studies following the stand
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4b97476645228778e29df23272f892a3
https://doi.org/10.1111/j.1467-9876.2012.01049.x
https://doi.org/10.1111/j.1467-9876.2012.01049.x
Autor:
Masayuki Henmi, John B. Copas
Publikováno v:
Statistics in Medicine. 29:2969-2983
The DerSimonian-Laird confidence interval for the average treatment effect in meta-analysis is widely used in practice when there is heterogeneity between studies. However, it is well known that its coverage probability (the probability that the inte
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0a71dac0229dba2e32e78ad4264ce6a5
https://doi.org/10.1002/sim.4029
https://doi.org/10.1002/sim.4029
Autor:
John B. Copas, Shinto Eguchi
Publikováno v:
Journal of the Royal Statistical Society Series B: Statistical Methodology. 72:193-217
SummaryIn likelihood inference we usually assume that the model is fixed and then base inference on the corresponding likelihood function. Often, however, the choice of model is rather arbitrary, and there may be other models which fit the data equal
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b1cc49f4c4458b52d0113c2e71992655
https://doi.org/10.1111/j.1467-9868.2009.00732.x
https://doi.org/10.1111/j.1467-9868.2009.00732.x
Autor:
John B. Copas, Claudia Lozada-Can
Publikováno v:
Journal of the Royal Statistical Society Series C: Applied Statistics. 58:329-344
Summary Fixed effects meta-analysis can be thought of as least squares analysis of the radial plot, the plot of standardized treatment effect against precision (reciprocal of the standard deviation) for the studies in a systematic review. For example
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1bd01b160654f87dc23b4e2cf8363d51
https://doi.org/10.1111/j.1467-9876.2008.00650.x
https://doi.org/10.1111/j.1467-9876.2008.00650.x
Autor:
John B. Copas, Shinto Eguchi
Publikováno v:
Journal of Multivariate Analysis. 97(9):2034-2040
Kullback–Leibler divergence and the Neyman–Pearson lemma are two fundamental concepts in statistics. Both are about likelihood ratios: Kullback–Leibler divergence is the expected log-likelihood ratio, and the Neyman–Pearson lemma is about err
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::917b6d6c303ebfed17962b48cee26950