We estimated a bivariate probit model which fits maximum-likelihood two-equation probit models and allows to take into account both the binary nature of the endogenous variable (NHIS enrollment) and the binary nature of the outcome variables (formal antenatal care, delivery in health facility, delivery assisted by a trained person, out-of-pocket expenditure).
Short-term statistics were studied by fitting maximum daily wind speeds to theoretical extreme value distributions found in the literature.
But for time scale of 10 min, the data follows two different Poisson distribution at noon and does not fit maximum likelihood estimation in the evening.
Statistical analysis was performed on pEC50 values and fitted maximum values in GraphPad Prism as described for competition binding above.
Approaches for estimating this distribution, proposed in the context of microarray analysis, include fitting maximum likelihood estimates of high-order polynomials [28] or mixture models [46], [47].
When comparing the fitted maximum values, only D74N and N298A are significantly reduced compared to WT (DRY/AAY mutants were not included in this test due to their lack of response).
In order to estimate the shift in the dose-response curve caused by the 9' LT mutation, individual curves were normalised each to its fitted maximum and pooled, to give one normalised curve for each receptor combination.
We found that the fitted maximum charge (Qmax) expressed by the 3 cell types was ∼ 5 fC/pF, in agreement with previous determinations in normal myotubes [ 29].
The data were fit to a single exponential Hill equation (fraction bound = A[protein]n/([protein]n + Kdn): A, fit maximum of RNA bound; n, Hill coefficient) (Ryder et al., 2008 ).
Data were analysed using a four parameter logistic equation (GraphPad Prism 5) to give values of pD2 (−lof10 of the concentration that produces 50% of the fitted maximum response) and maximum response (EMAX).
to minimise two-phase model Deviance; where italicised φm minimises Dev subject to ERR0.025,φ ≥ 0, a weaker condition than β, σ ≥ 0. c At φm, β, σ and τ are the fitted Maximum Likelihood Estimate parameter values.
