PubMed · 2004264
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K P Fung, J Lee. 1991. BASIC program for polynomial regression and smoothing.. https://doi.org/10.1093/bioinformatics%2F7.1.103
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The suitability of Dewar's Hamiltonians as a source of bonded force field parameters is explored from the comparison analysis between up to 270 semiempirically derived force field parameters and experimentally derived values reported in some of the most popular force fields. From the statistical analysis of the results, some general conclusions about the semiempirical parametrization are formulated.
A TI-59 programmable calculator program is presented for calculating either risk probability, sample size or confidence level (given 2 of the 3 variables) in cases in which an event of concern did not occur, or as expressed mathematically, had zero numerators. Its main usefulness is as a tool for interpreting previously published data containing no adverse event of concern while contemplating medical alternatives. These conditions are not infrequent in rare medical events--either diseases or complications. However, applicability of the program extends beyond these confines, exemplified in experimental planning for considering expected sample size or in calculating certainty in terms of confidence level.
The multivariate probit model is designed to regress a vector of correlated quantal variables on a mixture of continuous and discrete predictors. Various applications can be found in the biological, economical and psychosociological literature, but the method is not yet widely used in medical applications. We reintroduce this model thereby showing its usefulness in medical problems. Software for this model is, however, not widely available. We have written a PC program to select predictors and estimate parameters in the multivariate probit framework. The performance and characteristics of the program are briefly illustrated.