Results 251 to 260 of about 58,542 (312)

Bayesian estimation of HIV acquisition dates for prevention trials. [PDF]

mBio
Rossenkhan R, Giorgi EE, Shao D, Ludwig J, Labuschagne P, Magaret CA, Ndung'u T, Muema D, Gounder K, Dong KL, Walker BD, Rolland M, Robb ML, Eller LA, Sawe F, Nitayaphan S, Grebe E, Busch MP, Delaney KP, Facente S, Carpp LN, deCamp AC, Huang Y, Korber B, Juraska M, Rudnicki E, Kosmider E, Reeves DB, Mayer BT, Hural J, Deng W, Westfall DH, Yssel A, Matten D, Bhattacharya T, Corey L, Gilbert PB, Williamson C, Mullins JI, Edlefsen PT.   +39 more
europepmc   +1 more source

An Optimally Regularized Estimator of Multilevel Latent Variable Models, with Improved MSE Performance. [PDF]

Psychometrika
Dashuk V, Hecht M, Lüdtke O, Robitzsch A, Zitzmann S.   +4 more
europepmc   +1 more source

Analysis of Stepped-Wedge Cluster Randomized Trials When Treatment Effects Vary by Exposure Time or Calendar Time. [PDF]

Stat Med
Lee KM, Turner EL, Kenny A.
europepmc   +1 more source

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An estimation of the overlap bias in plaque assay

Virology, 1966
A systematic underestimation of the density of PFU's of a virus suspension is caused by overlapping plaques. The degree of this bias depends on n, the number of plaques distributed over the petri dish and on d, the (mean) diameter of the plaques. The mean number of overlapping events, y, is proportional to n2 and to d2, y = cn2d2.
R J, Lorenz, B, Zoeth
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Bias in estimates of primary production: An analytical solution

Ecological Modelling, 1988
This paper addresses the issue of the effect of random error upon the estimates of above-or belowground net primary production (NPP). We show that ramdom errors in estimates of biomass do not compensate but always result in a positive bias in estimates of NPP. Second, we demonstrate that the larger the number of time intervals considered, the higher is
O.E. Sala, M.E. Biondini, W.K. Lauenroth
openaire   +1 more source