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AOS21-(530704) Modeling the spatial patterns in trends and covariates of trends for North American bird populations

⏲ 7 min 30 sec ✓ 04-Aug-2021

Y Cao, L Chen, Y Yang J ChennWe study statistical inference methods for fitting logistic regression models to data arising from the two-phase stratified case-control sampling design, where a subset of covariates are available only for a portion of cases and controls who are selected based on the case-control status and fully collected covariates. We are additionally interested in characterizing the distribution of incomplete covariates conditional on fully observed ones.

Semiparametric Maximum Likelihood Estimation with Two-phase Stratified Case-control Sampling

⏲ 1 min 87 sec ✓ 16-Mar-2021

Biography: nnVirgilio Gómez-Rubio is Associate Professor in the Department of Mathematics at Universidad de CastillaLa Mancha (UCLM) in Spain. Prior to joining UCLM, he was Research Associate in the Department of Epidemiology and Biostatistics, Imperial College London (UK). Dr. Gómez-Rubio has developed and contributed to a number of packages for the R software on spatial data analysis and Bayesian inference. He is also co-author of Springer’s bestselling book Applied Spatial Data Analysis w

Demography Today-Virgilio Gómez Rubio,Introduction to spatial data with R: lattice data, spatial econometrics

⏲ 36 min 98 sec ✓ 28-Jul-2017

Adi Ben-Israel, Rutgers Experimental Mathematics Seminar, March 2, 2017nSee part 2 at vimeo.com/206500580nAbstract: The volume vol(A) of an mxn matrix A of rank r is: (a) the product of the r singular values of A, or (b) the square root of the sum of squares of all r x r subdeterminants of A, or (c) the volume of the image under A of a unit cube in the range of A transpose. Definition (b) is applicable to non-numerical matrices, in particular to rectangular Jacobians. Some representative applica

Matrix volume and its applications (part 1)

⏲ 17 min 99 sec ✓ 03-Mar-2017

Bycatch mortality from gillnets and other conventional harvest techniques impedes the recovery of Endangered Species Act (ESA)-listed salmonids and commercial fishing opportunities when ESA-take limits are exceeded. To benefit wild salmon, threatened ecosystems, and coastal fishing communities, Wild Fish Conservancy and local commercial fishermen conducted a post-release survival study in the Lower Columbia River Sub-basin to evaluate the potential of an alternative commercial gear—specificall

A Sustainable Way Forward for Fish and Fishermen: Part 1 (2017)

⏲ 3 min 49 sec ✓ 15-Jan-2022

Randomized experiments are the gold standard for making causal inferences — without randomization, post-treatment group differences may be confounded by pre-existing group differences (i.e., selection bias). But randomization is not always possible, practical or ethical in the social, behavioral and education sciences. Alternative, quasi-experimental methods are needed in the absence — or failure — of randomization. nnPropensity score analysis (PSA) is a broad collection of methods that ai

Pursuing Causal Inferences in the Absence (or Failure) of Random Assignment: An Introduction to Propensity Score Analysis

⏲ 34 min 34 sec ✓ 12-Feb-2020

This video provides some tricks on how to deal with categorical covariates in a population model

20. Categorical Covariates

⏲ 2 min 25 sec ✓ 06-Jul-2022

Fruits, veggies, mental healthnnAcademic journal articles aren’t known for being inspiring, but this paragraph made me say “whoa”.It does such a beautiful job of summarizing the findings on how fruit and vegetable intake (FVI) can affect mental health in numerous different ways:nn“There is now good evidence that higher FVI is related to better mental health. Research has established that people who eat more fruits and vegetables have a lower incidence of mental disorders, including low

Fruits, veggies, mental health

⏲ 2 min 17 sec ✓ 05-Feb-2021

P Zhang, S XienIn this research, we compare the performance of available-case analysis (ACA) and multiple imputation (MI) dealing with missing data in longitudinal studies. More precisely, we consider missing data occurring in longitudinal responses, covariates or both under different scenarios of missingness specified by missing data generation procedure.

Statistical Analysis of Incomplete Longitudinal Data Under Different Missing Scenarios

⏲ 1 min 47 sec ✓ 15-Mar-2021

The CDC recommends that children are physically active for at least one hour a day; we wanted to investigate if having a playground or park near a child’s home that they utilized impacted their ability to meet this recommendation. We used survey analysis methods to investigate this association with data from the South Carolina Children’s Health Assessment Survey, while adjusting for covariates (parent’s perception of the park’s safety, the child’s age, the child’s sex, the child’s

Physical Activity Environment and Disparities Among South Carolina’s Children

⏲ 10 min 77 sec ✓ 20-Apr-2016

Central Texas Eurycea salamanders are associated with the karstic aquifers of the Edwards Plateau region, and occur across a range of surface and subterranean habitats including underground stream systems, springs, spring-fed streams and even hillside seeps.In contrast with a few species that are endemic to singular, large springs of the Edwards Aquifer (e.g. E. sosorum at Barton Springs), most have larger ranges and inhabit numerous springs and caves.Populations inhabiting surface waters ar

Nate Bendik, EuryceAlliance 2011, 6-10-2011

⏲ 7 min 9 sec ✓ 23-May-2012

Board forecasting example with covariates.

Board Forecasts with Covariates

⏲ 2 min 10 sec ✓ 19-Dec-2019

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