Sentences with phrase «random effects regression»

We analysed repeated measures (23,245 person - observations) from the Whitehall II study using random effects regression.

Not exact matches

In each of these comparisons, mixed effects regression methods were used with random effects at the school level.

Multilevel logistic regression was used to estimate the odds ratios (ORs) for conversion to laparotomy, CRM +, intraoperative complications, and postoperative complications between treatment groups, adjusting for the stratification factors, where operating surgeon was modeled as a random effect.

To examine the prospective association of sugar intake from sweet food and beverages, a random effects logistic regression model (REM) was performed using the STATA command xtlogit 48, with exposures at phases 3, 5, 7 and 9 for GHQ caseness, and at phases 7 and 9 for CES - D caseness.

A test for linear trend of effects across coffee consumption categories was performed by regressing each log RR on the ordered categorical variable for coffee in 5 levels using a random - effect meta - regression model.

We assessed the association between onlineoffline partner dating and UAI, using random - effects logistic regression analysis..

Although regression discontinuity estimates are unbiased, we might also want to see effects of random assignment experimental evaluations of preschool for children from advantaged groups.

A multivariable random effects logistic regression model was used to identify risk factors significantly associated with seropositivity while accounting for clinic - to - clinic (or shelter) variability.

We implemented unadjusted and adjusted analyses (potential prognostic factors listed in table 2) of the outcomes (all quantitative) by using random effects linear regression models fitted by maximum likelihood estimation to allow for the correlation between the responses of participants from the same maternal and child health centre.29 We present means and standard deviations for each trial arm, along with the mean difference between arms, 95 % confidence intervals, and P values.

Using publicly available community - level AEDI data, 62, 63 we ran a two - level multilevel logistic regression model for one aggregate developmental outcome measure (ie, risk of developmental vulnerability; figure 3A) and an example simulation (figure 3B) using a total sample of 181 500, with the proportion of Aboriginal children in each LGA derived from ABS estimates.64, 65 Binomial outcome data were simulated assuming a baseline risk of being vulnerable of 21 % and a community - level random effect based on the actual variation in the published data (figure 3A).

Analyses were implemented at the level of the individual using random effects (multilevel) linear regression models24 fitted using maximum - likelihood estimation to allow for the correlation (or clustering) between the responses of subjects from the same MCH unit.

In that model, each observation is regressed linearly on the previous observation, and the regression coefficient is a random effect (i.e., it varies between persons).

The three - way interaction term and its implementation in the random effects logistic regression model is specified in the following equation:

For each outcome variable, we estimated mixed effects regression models with outcome = a0 (intercept) + a1 (informant) + a2 (treatment group) + a3 (time) + a4 (condition × time) with intercept, informant, and time (log day) treated as random effects.

We used linear mixed regression models with random intercept and slope (random effects models) to examine the extent to which the predictor variables considered influenced changes in continuous CBCL total, internalising, and externalising T scores from ages 2 to 14.

Using a rich database of fund - level data for Europe, we apply panel regression techniques with random effects.

We apply panel regression models with random effects using non-listed real estate fund level data sourced from the European Association for Investors in Non-Listed Real Estate Vehicles (INREV).