I've closely analysed RCS versus conventional standardization, long before the present discussion and have provided detailed technical discussions of RCS versus «conventional» standardization on several occasions in the past, including some useful comparisons to
mixed effects modeling.
* p < 0.05 by linear
mixed effects modeling (n = 5 / group).
The effects of age and sperm state (fresh vs chilled) on the above sperm endpoints were determined using a linear
mixed effects model.
We compared movement parameters (distances between successive fixes and turn - angles) of expeditions against within - territory movements using linear
mixed effects models, with individual cats as an error term.
We thus treated shell identity as a random effect in
mixed effect models when analyzing time trends and relationships with environmental variables.
The significant decline in the δ13C of limpets over the three time points provides evidence counter to a food web shift hypothesis (Fig 3a, linear
mixed effects model, time coefficient = − 0.206, p = 0.009, n = 5).
The δ13C of modern shells at Tatoosh declined significantly at a rate of − 0.071 ‰ yr − 1 over an 11 - year period (Figure 1b, linear
mixed effects model, se =.011, n = 53, df = 85, p < 0.001).
A linear
mixed effects model estimated a significant negative slope of − 0.071 ‰ yr − 1 (se = 0.011, df = 85, p < 0.001).
Inset figure shows the relationship between δ13C and age (in years) using a linear
mixed effects model for each of the 3 shell groupings.
Furthermore, we found no relationship between δ13C and δ18O (linear
mixed effect model, coefficient = − 0.012, df = 82, p = 0.925) when we structured the analysis by individual, a result that might have indicated metabolic effects on carbon and oxygen isotopes (e.g. [23]-RRB-.
A linear
mixed effect model using these three independently significant variables to explain the decline in δ13C was favored in model selection over any single variable model with a Likelihood Ratio Test (130.4 vs 139.8 — 147.6, Table 2) and thus strongly suggests that shells are responsive to carbon chemistry.
lmer is a function that does a linear
mixed effects model.
I've done this sort of calculation using
mixed effects models.
The results from the two
mixed effect models for Whiteley - 7 are shown in Table 3 and Figure 2.
Solid lines represent the linear
mixed effects model; data points, the observed values.
Again,
mixed effects models were computed for each ROI, testing handholding condition (alone vs. stranger vs. partner) and EFT (pre-therapy vs. post-therapy) while using marital quality (DAS, pre and post) as a repeated covariate.
Mixed effects models are relatively robust to violations of the sphericity assumption in repeated measures data [45].
To compare longitudinally the average change in each group and to take into account the dependence between the siblings, we used linear
mixed effects models with two random effects (for dependence over time and over siblings).
lmerTest: tests for random and fixed effects for linear
mixed effect models (lmer objects of lme4 package).
Not exact matches
Individual growth curve
models were developed for multilevel analysis and specifically designed for exploring longitudinal data on individual changes over time.23 Using this approach, we applied the
MIXED procedure in SAS (SAS Institute) to account for the random
effects of repeated measurements.24 To specify the correct
model for our individual growth curves, we compared a series of
MIXED models by evaluating the difference in deviance between nested
models.23 Both fixed quadratic and cubic
MIXED models fit our data well, but we selected the fixed quadratic
MIXED model because the addition of a cubic time term was not statistically significant based on a log - likelihood ratio test.
Fixed - and
mixed -
effects modeling, under the guidance of Case Western Reserve Professor Jiayang Sun, in the Department of Epidemiology and Biostatistics, were used to predict degradation responses of different PET films.
A suite of generalized linear
mixed -
effect model regressions were fitted to the data.
The fixed
effects of the proportion of rainbow trout admixture, sex, fish length (covariates) and spawning year (random
effect) on reproductive success (response variable) were evaluated using generalized linear
mixed models (GLMMs) using a natural log - link function with a quasi-Poisson error distribution (see the electronic supplementary material).
This is one of the best examples of why aerosol
mixing state is so important for
modeling the
effect of aerosols on climate.
Weight loss data were analyzed by linear
mixed -
effects models using R (R Core Team, 2014).
Longitudinal
mixed models were also used to estimate the
effect of vaccine dose on mean log - transformed antibody levels over time, using a spatial exponential covariance structure to
model the correlation between measurements from the same individual while taking into account the number of study days between measurements.
Furthermore, the
models couple CO2 forcing to the whole
mixing layer of the ocean while in reality the CO2 wavelengths barely penetrate more than a millimeter and so qualitatively are a complex surface
effect.
measures using the data of 537 Japanese Alzheimer's Neuroimaging Initiative (J - ADNI) participants with a linear
mixed -
effects model.
This study assesses the
effect of a DIC - solution injection by using a simple two end - member
model to simulate the variation of pH, DIC, total alkalinity (TA) and pCO2 between the river and sea
mixing process for the Danshuei River estuary and Hoping River in Taiwan.
This work consisted of lab - based experiments, studying the synergistic
effect of
mixed bacterial infections on
model invertebrate hosts, and provided my first real exposure to the microbial world.
Linear
mixed -
effects models (function lme)[34] in the nlme package [35] was used to estimate the factors affecting the response variables, hair sample mass and clutch coverage 24 hours after the playbacks.
As an additional example, established anticonvulsant
effects of ketogenic diets in humans and rats are countered by only
mixed success in mice in various seizure
models.54, 55, 56 Therefore, mice might be a challenging
model for exploring the relationship between a ketogenic diet and pain and inflammation.
The analyses were performed by using linear
mixed -
effects models on the log scale of hormones.
P values are calculated by
mixed model ANOVAs for main
effect of condition (n = 16).
To evaluate associations of sex hormones with % DBV, ADBV, and ANDBV, we used multiple linear
mixed -
effects models (51) with robust SEs; the clinic was included as a random intercept to account for the potential correlation among participants from the same clinic.
Differences in these subgroups» associations were tested using the Wald statistic of the cross-product term between continuous sex hormones and stratification variables in the fully adjusted linear
mixed -
effects model.
Multiple - linear
mixed -
effect regression
models were used to evaluate the association of sex hormones and sex hormone — binding globulin (SHBG) with % DBV, ADBV, and ANDBV.
Sources tell Bloomberg that Takata changed the propellant
mix to help reduce the
effect of humidity - what many believe to be the cause of problem - around the same time that Honda announced that it would be replacing airbags in some of their
models.
Generalised linear
mixed models (GLMMs) were used to assess the
effect of prosody (dog - directed / adult - directed); content (dog / adult) and content — prosody matching (matched (experiment 1) / mismatched (experiment 2)-RRB- on the acoustic measurements of stimuli in experiments 1 and 2.
The complete
mixed inheritance
model was where y = grades for hip dysplasia or elbow dysplasia; mean of the right and left joint, β = nongenetic fixed
effects, b = random breeder
effects, c = random litter
effects, u = additive genetic
effects, W = genotypes, m = genotype means, and e = random residuals.
Its cheap - looking interface is a far - cry from the vibrant comic book look of Ultimate Marvel vs. Capcom 3, and its graphics are a
mixed bag of gorgeous, colorful stages and bombastic in - game
effects but mostly bland character
models.
That's ironic that you mention that particular property of CO2, because there are scientist that theorize that, since CO2 is heavier, the GCM
models are not correct — most CO2 produced at Earth's surface NEVER gets well
mixed in fact most CO2 gets removed by rainfall, or gets absorbed by plants or the ocean long before it can cause any change in the so - called Greenhouse gas
effect (but the GHG theory is not correct anyway) and the fact that they have severly underestimated CO2 upweelinng from the dee
About 1980ish, some old ideas like the greenhouse
effect were brought out of mothballs and re-examined with new tools and techniques; simultaneously several researchers and theoreticians released their notes, published, or otherwise got together and there was a surprising consilience and not a small amount of
mixing with old school hippy ecologism on some of the topics that became the roots of Climate Change science (before it was called Global Warming); innovations in mathematics were also applied to climate thought; supercomputers (though «disappointing» on weather forecasting) allowed demonstration of plausibility of runaway climate
effects, comparison of scales of
effects, and the possibility of climate
models combined with a good understanding of the limits of predictive power of weather
models.
A decision support system for evaluating
effects of Feed - in Tariff mechanism: Dynamic
modeling of Malaysia's electricity generation
mix.
Now you just need to do a «multiple regression
mixed model», using also solar inputs, compensation for urban
effects / % forested / % agriculture within buffer areas, and whatever other variables are appropriate in addition to the CO2 variable for predicting tempertature.
Aerosol collections on the NOAA Ron Brown for subsequent processing of INP activation temperature spectra and composition analyses, add a valuable measurement to the ACAPEX and related CalWater2 (NOAA) studies for use in parameterizing and
modeling the impacts of marine boundary layer and other aerosols on climate and radiation via aerosol - indirect
effects on
mixed phase clouds.
Current collaborative research projects include
modeling the
effects of vertical
mixing and ultraviolet radiation on primary productivity in the Southern Ocean and understanding the role of climate forcing and hydrodynamics on harmful algal blooms and outbreaks of disease in aquatic organisms in lakes.
Estimates of forcings for solar, volcanic and well -
mixed GHGs derived from simpler
models may be different from the
effect in a GCM.
A comparison of bootstrap approaches for estimating uncertainty of parameters in linear
mixed -
effects models
Test statistics for the linear
mixed effects (LME)
model were calculated using S - PLUS version 7.0 statistical software (Insightful Corp, Seattle, Washington).