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statistica

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143 papers 25 to 100 followers
https://www.readbyqxmd.com/read/29437562/big-data-and-medical-research-in-china
#1
Luxia Zhang, Haibo Wang, Quanzheng Li, Ming-Hui Zhao, Qi-Min Zhan
No abstract text is available yet for this article.
February 5, 2018: BMJ: British Medical Journal
https://www.readbyqxmd.com/read/29440066/data-sharing-and-reanalysis-of-randomized-controlled-trials-in-leading-biomedical-journals-with-a-full-data-sharing-policy-survey-of-studies-published-in-the-bmj-and-plos-medicine
#2
Florian Naudet, Charlotte Sakarovitch, Perrine Janiaud, Ioana Cristea, Daniele Fanelli, David Moher, John P A Ioannidis
OBJECTIVES: To explore the effectiveness of data sharing by randomized controlled trials (RCTs) in journals with a full data sharing policy and to describe potential difficulties encountered in the process of performing reanalyses of the primary outcomes. DESIGN: Survey of published RCTs. SETTING: PubMed/Medline. ELIGIBILITY CRITERIA: RCTs that had been submitted and published by The BMJ and PLOS Medicine subsequent to the adoption of data sharing policies by these journals...
February 13, 2018: BMJ: British Medical Journal
https://www.readbyqxmd.com/read/24626938/writing-scientific-articles-like-a-native-english-speaker-top-ten-tips-for-portuguese-speakers
#3
EDITORIAL
Mariel A Marlow
No abstract text is available yet for this article.
March 2014: Clinics
https://www.readbyqxmd.com/read/29157119/biomarker-combinations-for-diagnosis-and-prognosis-in-multicenter-studies-principles-and-methods
#4
Allison Meisner, Chirag R Parikh, Kathleen F Kerr
Many investigators are interested in combining biomarkers to predict a binary outcome or detect underlying disease. This endeavor is complicated by the fact that many biomarker studies involve data from multiple centers. Depending upon the relationship between center, the biomarkers, and the target of prediction, care must be taken when constructing and evaluating combinations of biomarkers. We introduce a taxonomy to describe the role of center and consider how a biomarker combination should be constructed and evaluated...
January 1, 2017: Statistical Methods in Medical Research
https://www.readbyqxmd.com/read/29205452/an-r2-curve-for-evaluating-the-accuracy-of-dynamic-predictions
#5
Marie-Cécile Fournier, Etienne Dantan, Paul Blanche
In the context of chronic diseases, patient's health evolution is often evaluated through the study of longitudinal markers and major clinical events such as relapses or death. Dynamic predictions of such types of events may be useful to improve patients management all along their follow-up. Dynamic predictions consist of predictions that are based on information repeatedly collected over time, such as measurements of a biomarker, and that can be updated as soon as new information becomes available. Several techniques to derive dynamic predictions have already been suggested, and computation of dynamic predictions is becoming increasingly popular...
December 4, 2017: Statistics in Medicine
https://www.readbyqxmd.com/read/29260229/guidelines-for-the-content-of-statistical-analysis-plans-in-clinical-trials
#6
Carrol Gamble, Ashma Krishan, Deborah Stocken, Steff Lewis, Edmund Juszczak, Caroline Doré, Paula R Williamson, Douglas G Altman, Alan Montgomery, Pilar Lim, Jesse Berlin, Stephen Senn, Simon Day, Yolanda Barbachano, Elizabeth Loder
Importance: While guidance on statistical principles for clinical trials exists, there is an absence of guidance covering the required content of statistical analysis plans (SAPs) to support transparency and reproducibility. Objective: To develop recommendations for a minimum set of items that should be addressed in SAPs for clinical trials, developed with input from statisticians, previous guideline authors, journal editors, regulators, and funders. Design: Funders and regulators (n = 39) of randomized trials were contacted and the literature was searched to identify existing guidance; a survey of current practice was conducted across the network of UK Clinical Research Collaboration-registered trial units (n = 46, 1 unit had 2 responders) and a Delphi survey (n = 73 invited participants) was conducted to establish consensus on SAPs...
December 19, 2017: JAMA: the Journal of the American Medical Association
https://www.readbyqxmd.com/read/29362800/preferred-reporting-items-for-a-systematic-review-and-meta-analysis-of-diagnostic-test-accuracy-studies-the-prisma-dta-statement
#7
Matthew D F McInnes, David Moher, Brett D Thombs, Trevor A McGrath, Patrick M Bossuyt, Tammy Clifford, Jérémie F Cohen, Jonathan J Deeks, Constantine Gatsonis, Lotty Hooft, Harriet A Hunt, Christopher J Hyde, Daniël A Korevaar, Mariska M G Leeflang, Petra Macaskill, Johannes B Reitsma, Rachel Rodin, Anne W S Rutjes, Jean-Paul Salameh, Adrienne Stevens, Yemisi Takwoingi, Marcello Tonelli, Laura Weeks, Penny Whiting, Brian H Willis
Importance: Systematic reviews of diagnostic test accuracy synthesize data from primary diagnostic studies that have evaluated the accuracy of 1 or more index tests against a reference standard, provide estimates of test performance, allow comparisons of the accuracy of different tests, and facilitate the identification of sources of variability in test accuracy. Objective: To develop the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) diagnostic test accuracy guideline as a stand-alone extension of the PRISMA statement...
January 23, 2018: JAMA: the Journal of the American Medical Association
https://www.readbyqxmd.com/read/29362788/altmetric-scores-citations-and-publication-of-studies-posted-as-preprints
#8
Stylianos Serghiou, John P A Ioannidis
No abstract text is available yet for this article.
January 23, 2018: JAMA: the Journal of the American Medical Association
https://www.readbyqxmd.com/read/28892118/association-of-trial-registration-with-reporting-of-primary-outcomes-in-protocols-and-publications
#9
An-Wen Chan, Annukka Pello, Jessica Kitchen, Anna Axentiev, Jorma I Virtanen, Annie Liu, Elina Hemminki
No abstract text is available yet for this article.
November 7, 2017: JAMA: the Journal of the American Medical Association
https://www.readbyqxmd.com/read/28104076/comparison-of-propensity-score-methods-and-covariate-adjustment-evaluation-in-4-cardiovascular-studies
#10
REVIEW
Markus C Elze, John Gregson, Usman Baber, Elizabeth Williamson, Samantha Sartori, Roxana Mehran, Melissa Nichols, Gregg W Stone, Stuart J Pocock
Propensity scores (PS) are an increasingly popular method to adjust for confounding in observational studies. Propensity score methods have theoretical advantages over conventional covariate adjustment, but their relative performance in real-word scenarios is poorly characterized. We used datasets from 4 large-scale cardiovascular observational studies (PROMETHEUS, ADAPT-DES [the Assessment of Dual AntiPlatelet Therapy with Drug-Eluting Stents], THIN [The Health Improvement Network], and CHARM [Candesartan in Heart Failure-Assessment of Reduction in Mortality and Morbidity]) to compare the performance of conventional covariate adjustment with 4 common PS methods: matching, stratification, inverse probability weighting, and use of PS as a covariate...
January 24, 2017: Journal of the American College of Cardiology
https://www.readbyqxmd.com/read/28586802/when-to-adjust-for-potentially-confounding-variables
#11
Johannes M Lehner
No abstract text is available yet for this article.
June 1, 2017: JAMA Internal Medicine
https://www.readbyqxmd.com/read/28586883/adjustment-strategies-in-studies-of-therapy
#12
LETTER
Igor Karp
No abstract text is available yet for this article.
June 6, 2017: JAMA: the Journal of the American Medical Association
https://www.readbyqxmd.com/read/28581902/data-sharing-statements-for-clinical-trials-a-requirement-of-the-international-committee-of-medical-journal-editors
#13
EDITORIAL
Darren B Taichman, Peush Sahni, Anja Pinborg, Larry Peiperl, Christine Laine, Astrid James, Sung-Tae Hong, Abraham Haileamlak, Laragh Gollogly, Fiona Godlee, Frank A Frizelle, Fernando Florenzano, Jeffrey M Drazen, Howard Bauchner, Christopher Baethge, Joyce Backus
New England Journal of Medicine, Volume 376, Issue 23, Page 2277-2279, June 2017.
June 8, 2017: New England Journal of Medicine
https://www.readbyqxmd.com/read/28583149/effect-sizes-in-ongoing-randomized-controlled-critical-care-trials
#14
Elliott E Ridgeon, Rinaldo Bellomo, Scott K Aberegg, Rob Mac Sweeney, Rachel S Varughese, Giovanni Landoni, Paul J Young
BACKGROUND: An important limitation of many critical care trial designs is that they hypothesize large, and potentially implausible, reductions in mortality. Interpretation of trial results could be improved by systematic assessment of the plausibility of trial hypotheses; however, such assessment has not been attempted in the field of critical care medicine. The purpose of this study was to determine clinicians' views about prior probabilities and plausible effect sizes for ongoing critical care trials where the primary endpoint is landmark mortality...
June 5, 2017: Critical Care: the Official Journal of the Critical Care Forum
https://www.readbyqxmd.com/read/28476137/understanding-the-null-hypothesis-h0-in-non-inferiority-trials
#15
LETTER
Jihad Mallat
No abstract text is available yet for this article.
May 6, 2017: Critical Care: the Official Journal of the Critical Care Forum
https://www.readbyqxmd.com/read/28464123/the-complex-and-multifaceted-aspects-of-conflicts-of-interest
#16
EDITORIAL
William W Stead
No abstract text is available yet for this article.
May 2, 2017: JAMA: the Journal of the American Medical Association
https://www.readbyqxmd.com/read/28437532/the-value-of-using-registries-to-evaluate-randomized-clinical-trial-study-populations
#17
Adam J Schoenfeld, Rita F Redberg
No abstract text is available yet for this article.
June 1, 2017: JAMA Internal Medicine
https://www.readbyqxmd.com/read/28166709/biomarker-validation-with-an-imperfect-reference-issues-and-bounds
#18
Sarah C Emerson, Sushrut S Waikar, Claudio Fuentes, Joseph V Bonventre, Rebecca A Betensky
Motivated by the goal of evaluating a biomarker for acute kidney injury, we consider the problem of assessing operating characteristics for a new biomarker when a true gold standard for disease status is unavailable. In this case, the biomarker is typically compared to another imperfect reference test, and this comparison is used to estimate the performance of the new biomarker. However, errors made by the reference test can bias assessment of the new test. Analysis methods like latent class analysis have been proposed to address this issue, generally employing some strong and unverifiable assumptions regarding the relationship between the new biomarker and the reference test...
January 1, 2017: Statistical Methods in Medical Research
https://www.readbyqxmd.com/read/28192563/evaluation-of-evidence-of-statistical-support-and-corroboration-of-subgroup-claims-in-randomized-clinical-trials
#19
Joshua D Wallach, Patrick G Sullivan, John F Trepanowski, Kristin L Sainani, Ewout W Steyerberg, John P A Ioannidis
Importance: Many published randomized clinical trials (RCTs) make claims for subgroup differences. Objective: To evaluate how often subgroup claims reported in the abstracts of RCTs are actually supported by statistical evidence (P < .05 from an interaction test) and corroborated by subsequent RCTs and meta-analyses. Data Sources: This meta-epidemiological survey examines data sets of trials with at least 1 subgroup claim, including Subgroup Analysis of Trials Is Rarely Easy (SATIRE) articles and Discontinuation of Randomized Trials (DISCO) articles...
April 1, 2017: JAMA Internal Medicine
https://www.readbyqxmd.com/read/28192565/acknowledging-and-overcoming-nonreproducibility-in-basic-and-preclinical-research
#20
John P A Ioannidis
No abstract text is available yet for this article.
March 14, 2017: JAMA: the Journal of the American Medical Association
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