Zobrazeno 1 - 10
of 22
pro vyhledávání: '"Sarah C. Emerson"'
Publikováno v:
SSRN Electronic Journal.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8f8ad85cd1d471f578e2c7d0df0a3900
https://doi.org/10.2139/ssrn.4283477
https://doi.org/10.2139/ssrn.4283477
Publikováno v:
Measurement Error in Longitudinal Data
In this chapter, we develop theory and methodology to support mode adjustment and hindcasting/forecasting in the presence of different possible mode effect types, including additive effects and odds-multiplicative effects. Mode adjustment is particul
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c34cb8d55ddd5d4494c0f8470694912c
https://doi.org/10.1093/oso/9780198859987.003.0013
https://doi.org/10.1093/oso/9780198859987.003.0013
Autor:
Sushrut S. Waikar, Sarah C. Emerson, Joseph V. Bonventre, Claudio Fuentes, Rebecca A. Betensky
Publikováno v:
Statistical Methods in Medical Research. 27:2933-2945
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 ty
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a2828659b8b800010c2e70e44e01936b
https://doi.org/10.1177/0962280216689806
https://doi.org/10.1177/0962280216689806
Publikováno v:
Ecology. 96:2021-2025
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::16d1f2f4af22928ebfd1ad1f8f14ce00
https://doi.org/10.1890/14-0879.1
https://doi.org/10.1890/14-0879.1
Autor:
Rebecca A. Hutchinson, Matthew G. Betts, Sarah C. Emerson, Jonathon J. Valente, Thomas G. Dietterich
Publikováno v:
Methods in Ecology and Evolution. 6:949-959
Summary Occupancy models are employed in species distribution modelling to account for imperfect detection during field surveys. While this approach is popular in the literature, problems can occur when estimating the model parameters. In particular,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::99ce05ec17bab76cf51672b052c1b621
https://doi.org/10.1111/2041-210x.12368
https://doi.org/10.1111/2041-210x.12368
Publikováno v:
Journal of Bacteriology. 199
The function and extracellular location of cell envelope proteins make them attractive candidates for developing vaccines against bacterial diseases, including challenging drug-resistant pathogens, such as Neisseria gonorrhoeae . A proteomics-driven
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::269d4fbc534afef7fc870ae6ddfef5cb
https://doi.org/10.1128/jb.00037-17
https://doi.org/10.1128/jb.00037-17
Publikováno v:
Biometrics. 70:556-567
Summary Many papers have introduced adaptive clinical trial methods that allow modifications to the sample size based on interim estimates of treatment effect. There has been extensive commentary on type I error control and efficiency considerations,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ef00a78e26153a2c9aa087b87948d8b0
https://doi.org/10.1111/biom.12168
https://doi.org/10.1111/biom.12168
Publikováno v:
Clinical Trials. 10:696-700
Background Serum creatinine has been used as the diagnostic test for acute kidney injury (AKI) for decades despite having imperfect sensitivity and specificity. Novel tubular injury biomarkers may revolutionize the diagnosis of AKI; however, even if
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e01d8147d648725b593fdc3c5c8a3c1c
https://doi.org/10.1177/1740774513497540
https://doi.org/10.1177/1740774513497540
Publikováno v:
PeerJ
PeerJ, Vol 4, p e2791 (2016)
PeerJ, Vol 4, p e2791 (2016)
We examined RNA-Seq data on 211 biological samples from 24 different Arabidopsis experiments carried out by different labs. We grouped the samples according to tissue types, and in each of the groups, we identified genes that are stably expressed acr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f9cd9a8d60e7b0f9712e0cbd203f08c0
https://pubmed.ncbi.nlm.nih.gov/28028467
https://pubmed.ncbi.nlm.nih.gov/28028467
Publikováno v:
Environmental Entomology. 41:355-361
We introduce two simple methods for the statistical comparison of the temporal pattern of life-cycle events between two populations. The methods are based on a translation of stage-frequency data into individual 'times in stage'. For example, if the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::74ec3ed852d789bc420e040d0309c8b5
https://doi.org/10.1603/en11260
https://doi.org/10.1603/en11260