Zobrazeno 1 - 10
of 14
pro vyhledávání: '"Tutorial in Biostatistics"'
Publikováno v:
Statistics in Medicine
This tutorial shows how to build, fit, and criticize disease transmission models in Stan, and should be useful to researchers interested in modeling the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) pandemic and other infectious diseas
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::13e036c811d4f830b335e99922009af1
https://doi.org/10.1002/sim.9164
https://doi.org/10.1002/sim.9164
Publikováno v:
Statistics in Medicine
In sequential analysis, hypothesis testing is performed repeatedly in a prospective manner as data accrue over time to quickly arrive at an accurate conclusion or decision. In this tutorial paper, detailed explanations are given for both designing an
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b5fbcac5ef50a3130c317feb9669ac4c
https://doi.org/10.1002/sim.9094
https://doi.org/10.1002/sim.9094
Publikováno v:
Statistics in Medicine
The well-known agreement interval by Bland and Altman is extensively applied in method comparison studies. Two clinical measurement methods are considered interchangeable if their differences are not clinically significant. The agreement interval is
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c3454823b07bfb8ecd3f3f88fe32981f
http://europepmc.org/articles/PMC7756677
http://europepmc.org/articles/PMC7756677
Autor:
Joie Ensor, Johannes B. Reitsma, David Fisher, Richard D Riley, Thomas P. A. Debray, Nadine Marlin, Jeroen Hoogland, François Gueyffier, Miriam Hattle, Jan A. Staessen, Ji-Guang Wang, Karel G.M. Moons
Publikováno v:
Riley, R D, Debray, T P A, Fisher, D, Hattle, M, Marlin, N, Hoogland, J, Gueyffier, F, Staessen, J A, Wang, J, Moons, K G M, Reitsma, J B & Ensor, J 2020, ' Individual participant data meta-analysis to examine interactions between treatment effect and participant-level covariates : Statistical recommendations for conduct and planning ', Statistics in Medicine, vol. 39, no. 15, pp. 2115-2137 . https://doi.org/10.1002/sim.8516
Statistics in Medicine, 39(15), 2115-2137. John Wiley and Sons Ltd
Statistics in Medicine
Statistics in Medicine, 39(15), 2115-2137. John Wiley and Sons Ltd
Statistics in Medicine
Precision medicine research often searches for treatment-covariate interactions, which refers to when a treatment effect (eg, measured as a mean difference, odds ratio, hazard ratio) changes across values of a participant-level covariate (eg, age, ge
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f57e561aefdf6781730e2f358d1e510d
http://www.scopus.com/inward/record.url?scp=85083976083&partnerID=8YFLogxK
http://www.scopus.com/inward/record.url?scp=85083976083&partnerID=8YFLogxK
Publikováno v:
Statistics in Medicine
Stat Med
Stat Med
Multilevel data occur frequently in health services, population and public health, and epidemiologic research. In such research, binary outcomes are common. Multilevel logistic regression models allow one to account for the clustering of subjects wit
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d0df77e934efe176120e055698b3c0b4
https://pubmed.ncbi.nlm.nih.gov/28543517
https://pubmed.ncbi.nlm.nih.gov/28543517
Publikováno v:
Statistics in Medicine
Simulation studies are computer experiments that involve creating data by pseudorandom sampling. The key strength of simulation studies is the ability to understand the behaviour of statistical methods because some 'truth' (usually some parameter/s o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::63f310a47c65941bbe01bd1215dc1f56
http://europepmc.org/articles/PMC6492164
http://europepmc.org/articles/PMC6492164
Publikováno v:
STATISTICS IN MEDICINE
Statistics in Medicine, 39(30), 4922-4948. WILEY
Statistics in Medicine
Statistics in Medicine, 39(30), 4922-4948. WILEY
Statistics in Medicine
Although review papers on causal inference methods are now available, there is a lack of introductory overviews on what they can render and on the guiding criteria for choosing one particular method. This tutorial gives an overview in situations wher
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::404ba1d7607b9b3832cf46cc922c53ae
http://arxiv.org/abs/1906.12100
http://arxiv.org/abs/1906.12100
Publikováno v:
Statistics in Medicine
Observational studies of treatment effects attempt to mimic a randomized experiment by balancing the covariate distribution in treated and control groups, thus removing biases related to measured confounders. Methods such as weighting, matching, and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::43a15648f6acf1a1938896a5f8942718
https://pubmed.ncbi.nlm.nih.gov/32242973
https://pubmed.ncbi.nlm.nih.gov/32242973
Autor:
Jonathan J. Shuster, Michael A. Walker
Publikováno v:
Statistics in Medicine
Meta-analysis of clinical trials is a methodology to summarize information from a collection of trials about an intervention, in order to make informed inferences about that intervention. Random effects allow the target population outcomes to vary am
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5dc4905d4cd5876609e94b8ffae5d443
http://europepmc.org/articles/PMC4891219
http://europepmc.org/articles/PMC4891219
Publikováno v:
Statistics in Medicine
Predicting the occurrence of an adverse event over time is an important issue in clinical medicine. Clinical prediction models and associated points‐based risk‐scoring systems are popular statistical methods for summarizing the relationship betwe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::33bc936938f5d0ea909f7a6ba47e90d4
https://europepmc.org/articles/PMC6886075/
https://europepmc.org/articles/PMC6886075/