8,313 research outputs found
Physical activity, alcohol and tobacco use and associated cardiovascular morbidity and mortality in the Second Australian National Blood Pressure study cohort
Mark Raymond Nelson, Amasy Namuk Alkhateeb, Philip Ryan, Kristyn Willson, Janette Gwendoline Gartlan, Christopher Michael Reid and On behalf of the Second Australian National Blood Pressure Management Committe
Nelson-Gon/manymodelr: manymodelr 0.3.5
title: "manymodelr-News" author: "Nelson Gonzabato" output: htlm_document
manymodelr 0.3.5
Extended fit_models to support model fitting for several variables for several model types.
manymodelr 0.3.2
Patch related to failing tests on old R releases, skip tests on these.
manymodelr 0.3.1
Fixed issues for CRAN
manymodelr 0.3.0
Major additions
extract_model_info now supports glmerMod and glmmTMB
get_this now works with numeric input and also supports data.frame objects.
fit_models extends fit_model by building many models at once.
Other changes
get_stats now drops columns via a vector and not "non_numeric" as previously.
Metrics from multi_model_1 are now more informative with the metric and method wrapped in the naming of the result.
df was renamed as old_data in multi_model_1, newdata to new_data.
plot_corr now directly accepts data.frame objects. Arguments like round_values have also been dropped.
Fixed DOI to Max Kuhn's paper
Refactored get_mode to be tidy compliant.
The argument valid was dropped in multi_model_1.
get_all was dropped in select_percentile.
select_col, select_percentile, row_mean_na will be removed in the next release.
row_mean_na is now defunct. Use na_replace instead.
na_replace no longer allows using functions such as mean,min, etc. These have been reimplemented in the package mde
modeleR is now defunct. Use fit_model instead.
get_this no longer accepts non quoted character strings.
Better coverage and code tests
manymodelr 0.2.4
Fixes paper citation
manymodelr 0.2.3
New functions
plot_corr has been added to allow plotting of correlation matrices produced by get_var_corr_.
na_replace_grouped extends na_replace by allowing replacement of missing values(NAs) by group.
add_model_predictions allows addition of predicted values to a data set.
add_model_residuals is an easy to use and dplyr compatible wrapper that allows addition of residuals to a data set.
extract_model_info allows easy extraction of common model attributes such as p values, residuals, coefficients, etc as per the specific model type. It supports extraction of multiple attributes.
multi_model_2 allows fitting and predicting in one function. It is similar to multi_model_1 except it does not require metrics.
Major Changes
modeleR has been replaced with fit_model which is an easier to remember name. Usage remains the same.
fit_model no longer allows direct addition of predictions. Use add_model_predictions to achieve the same.
na_replace has been extended to allow for user defined values.
rowdiff now accepts replacement of the calculation induced NAs. It does so by using na_replace.
get_var_corr_ now supports using only a subset of the data.
Helper functions are no longer exported.
get_data_Stats is now aliased with get_stats for ease.
get_var_corr no longer has the get_all argument. Instead, users can provide an option other_vars vector of subset columns. drop_columns has also been changed from boolean to a character vector.
manymodelr 0.2.2
Minor bug fixes with respect to the vignette.
manymodelr 0.2.1
Major Changes
Additions
agg_by_group is a new function that manipulates grouped data. It is fast and robust for many kinds of functions.
rowdiff is another new function that enable one to find differences between rows in a data.frame object. `
get_var_corr provides a user-friendly way to find correlations between data.
get_var_corr_ provides a user-friendly way to find combination-wise correlations. It is relatively fast depending on how big one's data is and/or machine specifications.
get_this is an easy to use helper function to get metrics,predictions, etc. Currently supports lists and data.frame objects.
modeleR and row_mean_na were removed.
Major Modifications
get_data_Stats now supports removal of missing data as well as using only numeric data.
modeleR has been fixed to handle new data as expected. It also now supports glm.
multi_model_1 now supports either validation or working with new data.
row_mean_na has been replaced with na_replace which is more robust. row_mean_na will be removed in future versions
Procyon gloveralleni Nelson and Goldman 1930
<p> <i>Procyon gloveralleni</i> Nelson and Goldman, 1930. J. Mammal., 11:453.</p> <p>TYPE LOCALITY: "Island of Barbados, Lesser Antilles, West Indies."</p> <p>DISTRIBUTION: Known only from the type locality.</p> <p>STATUS: IUCN - Extinct? (see Hall, 1981:973).</p>Published as part of <i>W. Christopher Wozencraft, 1993, Order Carnivora, pp. 279-348 in Mammal Species of the World (2 nd Edition), Washington and London :Smithsonian Institution Press</i> on page 335, DOI: <a href="http://zenodo.org/record/7359191">10.5281/zenodo.7359191</a>
Vibration-induced white finger in dockyard employees
Vibration-induced white finger (VWF) is a vascular condition associated with occupational exposure to hand-transmitted vibration. The fingers are prone to intermittent blanching attacks which may be triggered by cold conditions and are usually accompanied by numbness and tingling or pain. VWF has been associated with the use of various tools and processes, among which are the percussive and rotary metal-working tools used in ship repair work. This thesis describes a study of dose-effect relationships for VWF in dockyard employees.A review of the literature revealed more than 40 epidemiological studies of VWF in workers using hand-held metal-working tools. Measurements of tool vibration have also been reported, but few researchers have combined epidemiological studies of VWF with measurements of the vibration exposures Involved. Some dose-effect relationships have been suggested and current standards contain tentative dose effect guidance. Some recent authors have suggested that the frequency weighting and time-dependencies assumed In current standards are inadequate.Methods for the measurement of hand-transmitted vibration were assessed. The vibration characteristics of sixteen pneumatic tools commonly used in dockyard work were measured in the laboratory. Repeated measurements were made In three axes at each hand position and analysis included the computation of narrow-band spectra, acceleration magnitudes in octave bands and overall frequency-weighted and unweighted acceleration magnitudes.A survey of vibration-exposed employees in a dockyard was conducted by questionnaire. Information related to symptoms of VWF, and the history of use of vibrating tools was obtained from each individual. The severity of blanching in each affected individual was recorded using a scoring system.The severity and prevalence of symptoms were related to various measures of vibration 'dose' (i.e. combinations of measured vibration magnitudes and reported exposure times) by logistic regression and survival analysis. A highly significant relationship between VWF severity and exposure time was demonstrated. However, the use of frequency-weighted acceleration in dose calculations reduced the goodness of fit, while unweighted acceleration gave a small improvement in some cases. This suggests that higher frequencies in the range 6.3 Hz to 1250 Hz are of greater Importance than current standards imply. The effect of vibration magnitude was found to be small compared with that of exposure time and no clear effect of vibration direction or vibration frequency was demonstrated.No evidence was found for a time-dependency of the form assumed in current standards. It is possible that the risk of VWF may not be directly related to the vibration magnitude, but that a 'threshold' magnitude exists, below which the hazard is small and above which it is proportional to a function of the exposure time. Further Investigation of this hypothesis is recommended
Bipolar Cell Pathways in the Vertebrate Retina
Book chapter published in:
Kolb, H., Fernandez, E., Nelson, R., Webvision: The Organization of the Retina and Visual System [Internet]
DS_10.1177_0363546518781338 – Supplemental material for Epidemiology of Upper Extremity Injuries in NCAA Men’s and Women’s Ice Hockey
Supplemental material, DS_10.1177_0363546518781338 for Epidemiology of Upper Extremity Injuries in NCAA Men’s and Women’s Ice Hockey by Patricia R. Melvin, Spenser Souza, R. Nelson Mead, Christopher Smith and Mary K. Mulcahey in The American Journal of Sports Medicine</p
Two wives of Andrew P. Schow, James Schow, Martin Liston and William Osborn. These people were among the first settlers in Escalante, Utah.
Photo shows several early settlers of Escalante on the porch of an Escalante house in 1923. Caption from the book "The Mormon Village": "Original pioneers of Escalante photographed by the author in 1923. From left to right: William Osborn, Martin Liston, James Schow, and the two surviving wives of Andrew P. Schow.
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