Application logistic models. Medical search. Frequent questions

Wilburne will work with Professor Satoshi Kuriki and Professor Hisayuki Hara on the problem of computing a Markov basis for multinomial logistic regression models. (iit.edu)
METHODS: A unified Bayesian hierarchical framework that implements and compares shrinkage priors in binary and multinomial logistic regression models is presented. (nih.gov)

Based on 4,661 verb constructions from five comparable multi-genre corpora, we ran a logistic regression analysis to determine which factors cause English-speaking populations to differ in their constructional choices and in which specific contexts. (benjamins.com)
11. Application of O-RADS Ultrasound Lexicon-Based Logistic Regression Analysis Model in the diagnosis of Solid Component-Containing ovarian Malignancies. (nih.gov)
Multivariable logistic regression analysis was applied to build a prediction model incorporating the features selected in the least absolute shrinkage and selection operator regression model. (hindawi.com)
To assess this relationship more robustly, we performed a regression analysis to model the count of post-award applications to other ICs, which allowed us to control for other potentially influential variables, such as the proportion of a PI's prior applications going to non-NIGMS ICs and the size of the NIGMS MIRA or comparable R01 grant. (nih.gov)

Logistic regression algorithm is applied in the field of epidemiology to identify risk factors for diseases and plan accordingly for preventive measures. (kdnuggets.com)
A common application is in epidemiology for estimating an individual's risk (probability of a disease) as a function of a given risk factor. (nih.gov)

Contributions should be real-life cases or empirical models or mathematical models (the validity of mathematical models should be well-known or supported by real-life examples). (elsevier.com)
Of particular interest are empirical models in countries where the provision of CGs contributes to the development of national economies. (elsevier.com)
The comparison of the theoretical (modeled) with empirical (measured) distribution with the Kolmogorov-Smirnov test yielded p -values always above 0.27 and, in half of the cases, above 0.52. (frontiersin.org)
Two empirical examples including a power regression model of aggregate consumption and a Gompertz growth model of mobile cellular usage in the US are presented to illustrate the implementation and usefulness of the proposed method in practice. (hindawi.com)

To apply the method to modeling work in sub-Saharan African countries, some modification has been introduced by Salomon and Murray (2001). (ispub.com)

Logistics and Supply Chain Management (Executive) is a course that I would recommend to everyone who works in supply chain, because it's a very business-orientated course and it can help you understand the theoretical part as well as the business part of logistics and supply chain management. (cranfield.ac.uk)

However, only a minority of the approximately 500 logistics companies surveyed by Bitkom Research in spring 2019 are using such technologies. (detecon.com)
The nomogram model was constructed based on data from 292 patients with MMD that were treated at Qilu Hospital of Shandong University from January 2018 to June 2019. (hindawi.com)
The prediction model was assessed using a dataset of 119 patients with MMD collected from July 2019 to June 2020. (hindawi.com)

Compute the logistic-exponential cumulative distribution function. (nist.gov)
Compute the logistic-exponential cumulative hazard function. (nist.gov)
Compute the logistic-exponential percent point function. (nist.gov)
Lan and Leemis (2008), "The Logistic-Exponential Survival Distribution", Naval Research Logistics , to appear. (nist.gov)
Logistic growth is used to measure changes in a population, much in the same way as exponential functions . (statisticshowto.com)
The model has a characteristic "s" shape, but can best be understood by a comparison to the more familiar exponential growth model. (statisticshowto.com)
Unlike exponential growth where the growth rate is constant and the population grows "exponentially", in logistic growth a population's growth rate (not the population itself) decreases as the population size approaches a maximum level. (statisticshowto.com)
There are some important differences between exponential growth and logistic growth. (statisticshowto.com)

Logistic regression algorithms help estimate the probability of falling into a specific level of the categorical dependent variable based on the given predictor variables. (kdnuggets.com)
Since the IRT One Parameter Logistic Model allows estimating item parameters that are "examinee-free", then it is possible to estimate item parameters during their piloting to use them later. (assess.com)
We used mixed-effects models to estimate between- and within-home variance. (nih.gov)
Since in Nigeria, data on HIV/AIDS are scanty, a better insight can be provided if analysis of the data is based on estimate of statistical models whose assumption are realistic and with parameters defined to capture the situations peculiar to the locality. (ispub.com)
Twenty-four-hour dietary recall data from 2013-2016 NHANES were used to fit age- and sex-specific logistic regression models that estimate probabilities of meeting recommendations as functions of reported daily frequency of consumption, race/ethnicity, and IPR, adjusting for day-to-day variation ( 4 ). (cdc.gov)

The green dashed lines show the percentage of EI comparator investigators with applications to other ICs was 76% for the FY 2016 cohort and approximately 36% for the FY 2020 cohort, and over 80% for the ESI comparator investigators in the FY 2016 cohort and 38% in the FY 2020 cohort. (nih.gov)

The association between the composite behavioral risk score and pesticide poisoning were assessed in a multivariate logistic model. (cdc.gov)
Multivariate linear regression models were fit to determine the adjusted relationship between smoking and total and percent free prostate specific antigen while simultaneously controlling for these characteristics. (cdc.gov)

IRT employs mathematical models assuming that the probability that an examinee would answer the question correctly depends on their ability and item characteristics. (assess.com)
In the Rasch model, the probability of a specified response (e.g. right/wrong answer) is modeled as a function of person and item parameters. (wikipedia.org)
Specifically, in the original Rasch model, the probability of a correct response is modeled as a logistic function of the difference between the person and item parameter. (wikipedia.org)
When a person's location on the latent trait is equal to the difficulty of the item, there is by definition a 0.5 probability of a correct response in the Rasch model. (wikipedia.org)
Finally, we compare the probability the model assigns to encountering each of the six verbs in the 60 test sentences to the acceptability ratings the adult native speakers give to those sentences. (degruyter.com)
The bivariate logistic model is used in the joint probability analysis. (iahr.org)
Compute the logistic probability density function. (nist.gov)

as well as a graph of the slope function, f(P) = r P (1 - P/K). Click on the left-hand figure to generate solutions of the logistic equation for various starting populations P(0) . (maa.org)
It is not clear the extent to which this model would accurately categorize SDoH among other populations. (nih.gov)
This work also highlights the need for research in diverse healthcare settings to ensure that tools and models that are developed can correctly identify and categorize SDoH among diverse populations. (nih.gov)

In addition to psychometrics and educational research, the Rasch model and its extensions are used in other areas, including the health profession, agriculture, and market research The mathematical theory underlying Rasch models is a special case of item response theory. (wikipedia.org)

The sigmoid function also called the logistic function gives an 'S' shaped curve that can take any real-valued number and map it into a value between 0 and 1. (kdnuggets.com)
The following figure shows a plot of these data (blue points) together with a possible logistic curve fit (red) -- that is, the graph of a solution of the logistic growth model. (maa.org)
The next figure shows the same logistic curve together with the actual U.S. census data through 1940. (maa.org)
Discrimination, calibration, and clinical usefulness of the prediction model were assessed using receiver operating characteristic (ROC) curves, calibration plots, and decision curve analysis. (hindawi.com)
The prediction model displayed good calibration, and the decision curve analysis showed that it had a wide range of clinical applications. (hindawi.com)
The ROC curve of the predicted score will be plotted and compared to that of the model using clinical variables and existing PSA and its derivatives but without %proPSA. (nih.gov)

A hands on guide to Logistic Regression for aspiring data scientist and machine learning engineer. (kdnuggets.com)
On the other hand, when we add census data from the most recent half-century (next figure), we see that the model loses its predictive ability. (maa.org)
1 Nevertheless, assessing the accuracy of regression models in describing the data (goodness of fit) is almost unknown in medical research. (bmj.com)
The Rasch model, named after Georg Rasch, is a psychometric model for analyzing categorical data, such as answers to questions on a reading assessment or questionnaire responses, as a function of the trade-off between the respondent's abilities, attitudes, or personality traits, and the item difficulty. (wikipedia.org)
Beyond data, Rasch's equations model relationships we expect to obtain in the real world. (wikipedia.org)
Models are most often used with the intention of describing a set of data. (wikipedia.org)
In contrast, when the Rasch model is employed, the objective is to obtain data which fit the model. (wikipedia.org)
Consequently, the Rasch model is not altered to suit data. (wikipedia.org)
Data analysed using the model are usually responses to conventional items on tests, such as educational tests with right/wrong answers. (wikipedia.org)
However, the model is a general one, and can be applied wherever discrete data are obtained with the intention of measuring a quantitative attribute or trait. (wikipedia.org)
Using the multimarker models, we analyse data from the Molecular Genetics of Schizophrenia study. (biomedcentral.com)
However, multimarker models also require stricter control of data quality since biases can have a larger inflationary effect on multimarker test statistics than on single-SNP test statistics. (biomedcentral.com)
Most researchers who attempt to discover the factors determining a preference rely on the linguistic analysis and statistical modeling of data extracted from large corpora. (degruyter.com)
The most rigorous studies also fit a statistical model to the data and test it on a new set of corpus examples (the testing set) to see how well it generalizes to new data. (degruyter.com)
You might need to use sensitive data about your customers as training data for your models, but you don't want to share your customer data in plaintext form with the other companies, and vice versa. (amazon.com)
Cryptographic computing gives organizations a way to train models collaboratively without exposing plaintext data about their customers to each other, or even to an intermediate third party such as a cloud provider like AWS. (amazon.com)
Privacy protection in electronic healthcare applications is an important consideration, due to the sensitive nature of personal health data. (mdpi.com)
The research of Hansheng Wang is partially supported by National Natural Science Foundation of China (No. 11831008) and also partially supported by the Open Research Fund of Key Laboratory of Advanced Theory and Application in Statistics and Data Science (KLATASDSMOE-ECNU-KLATASDS2101). (intlpress.com)
In this study, meteorological, air quality, and atmospheric visibility data were analyzed together to demonstrate the capabilities of the multidimensional logistic regression model for visibility prediction. (frontiersin.org)
Data from 1996 to 2012 is used to conduct co-integration test, VAR model and Granger causality test in order to examine the relation between China's electronic industry added-value and energy consumption. (atlantis-press.com)
Full details regarding the application process are provided at http://www.ices.on.ca/Data-Services/Submitting-your-request and www.ohtncohortstudy.ca . (plos.org)
Fifty years of synthetic data of annual extreme wind waves and surges are then generated by means of a 3rd generation wind wave model and a flow model, with the tide level data produced by harmonic analysis. (iahr.org)
Emphasis will be placed on the practical aspects of analysing large data sets, fitting a model and assessing a model using a statistical package. (edu.au)
We used HIV/AIDS surveillance data to model the situation for the rural and urban sentinel sites in the zones. (ispub.com)
A consequence of these features is that the analysis of data is usually most effective when it is based on a model that describes aspects of the infection process Becker and Britton (1999). (ispub.com)
Apart from that, modeling exercise are aimed at making use of the available data (no matter how little) to provide information about the trend inherent in the course of the epidemic. (ispub.com)
This is an important open problem in the field of algebraic statistics, and a solution would provide another non-asymptotic tool for testing model/data fit for researchers and statisticians to use in applications. (iit.edu)
With this live demo, see how factory automation integrated with Oracle supply chain applications and extended with Industry 4.0 technologies (such as cloud, IoT, Big Data, and AI) provide agility and continuous innovation. (oracle.com)
By combining and enhancing digital data, logistic processes can be made more efficient, faster and more sustainable. (tno.nl)
We are also developing 'demonstrators', to show whether and how data sharing can lead to new logistics concepts. (tno.nl)
At our Smart Data Factory for Logistics, we show you how this can be achieved. (tno.nl)
Logistics sectors benefiting from data-sharing innovations include container transport, construction logistics, urban logistics and the transport of perishable goods. (tno.nl)
Data-driven innovation also offers opportunities for new revenue models. (tno.nl)
We help the logistics sector to develop and implement solutions for real-time data sharing. (tno.nl)
After all, vehicles, infrastructure and operating systems are constantly collecting data, and making this available in real time helps to create new applications for more effective and efficient transport. (tno.nl)
This work discusses variable selection with three shrinkage priors and illustrates its application to clinical data such as Pima Indians Diabetes, Colon cancer, ADNI, and OASIS Alzheimer's real-world data. (nih.gov)
In this post, we compare data on post-award grant applications from NIGMS-funded investigators. (nih.gov)

Like other differential equations , logistic growth has an unknown function and one or more of that function's derivatives . (statisticshowto.com)

This emphasizes the remarkable predictive ability of the model during an extended period of time in which the modest assumptions of the model were at least approximately true. (maa.org)
Building an excellent predictive model involves selecting the features that are most significantly associated with the outcome. (nih.gov)

is called the logistic growth model or the Verhulst model . (maa.org)
P.F. Verhulst was a Belgian mathematician that studied the logistic growth model in the 19th century (and is that namesake behind the second name for the formula, the Verhulst Model ). (statisticshowto.com)

The name of this algorithm could be a little confusing in the sense that the Logistic Regression machine learning algorithm is for classification tasks and not regression problems. (kdnuggets.com)
This algorithm applies a logistic function to a linear combination of features to predict the outcome of a categorical dependent variable based on predictor variables. (kdnuggets.com)
Development of the methodology ( 4 ) and application of the prediction algorithm have been previously reported. (cdc.gov)

This module investigates a standard model of population growth in a constrained environment. (maa.org)
For more on limited and unlimited growth models, visit the University of British Columbia. (maa.org)
The word "logistic" doesn't have any actual meaning-it's just a commonly accepted name given to this type of growth [1]. (statisticshowto.com)
There are many real world applications for this type of growth. (statisticshowto.com)
Logistic Growth is also used commercially to analyze the life-spans of products. (statisticshowto.com)
There is increasing demand for logistics due to the growth both in population and prosperity. (tno.nl)

Building on earlier work we trained a polytomous logistic regression model to predict verb choice given the sentential context. (degruyter.com)
Produce and interpret the results of an estimated model and predict the consequences of these results. (edu.au)
He used the model to predict what the U.S. population would be in 1940. (statisticshowto.com)
The aim of this study was to develop and validate a nomogram model to predict the risk of decreased activities of daily living (ADLs) in patients with moyamoya disease (MMD) following revascularization. (hindawi.com)
Nomograms are used to establish relevant prognostic models based on disease characteristics to predict patient outcomes. (hindawi.com)
In our study, we aimed to (i) explore the influencing factors and weights of ADL in patients with MMD after vascular reconstruction, (ii) develop and validate a prediction model for Chinese MMD patients, and (iii) use simple and effective nomograms to predict postoperative ADL status in MMD patients. (hindawi.com)

Thus, the present study used the socioecological increased risk of smoking-related health problems among model of health to: (1) determine the prevalence of individuals who begin smoking during adolescence. (who.int)

Applications of Bayesian shrinkage prior models in clinical research with categorical responses. (nih.gov)

We created composite variables for exposures (information sources: electronic, print, new media, government, community) and outcomes (knowledge and misconceptions, protective and risk behavior) and tested associations by using logistic regression within multilevel modeling. (cdc.gov)
To compare application behavior between MIRA and R01-funded investigators, we created sets of both established (EI) and early stage (ESI) investigators supported by NIGMS R01s (called the comparator group) who have not received a MIRA. (nih.gov)

We show the haplotype model has higher power for rare untyped causal SNPs, the main-effects model has higher power for common untyped causal SNPs, and the proposed model generally has power in between the two others. (biomedcentral.com)
Analysing a GWAS with multimarker models can yield candidate regions which may contain rare untyped causal variants. (biomedcentral.com)

Abstract: To analyze the demand for dairy products of goat and sheep origin, a binary logistic regression was performed to verify the impact of label attributes, sociodemographic characteristics and habits of dairy consumption on the consumers' willingness to pay in the Brazilian states of Goiás and Federal District. (scielo.br)

The OPLM combines mathematical properties of the Rasch model with the flexibility of the Two Parameter Logistic Model (2PL or IRT 2PL). (assess.com)
However, there are important differences in the interpretation of the model parameters and its philosophical implications that separate proponents of the Rasch model from the item response modeling tradition. (wikipedia.org)
A central aspect of this divide relates to the role of specific objectivity, a defining property of the Rasch model according to Georg Rasch, as a requirement for successful measurement. (wikipedia.org)
By requiring measures to remain the same (invariant) across different tests measuring the same thing, Rasch models make it possible to test the hypothesis that the particular challenges posed in a curriculum and on a test coherently represent the infinite population of all possible challenges in that domain. (wikipedia.org)
A Rasch model is therefore a model in the sense of an ideal or standard that provides a heuristic fiction serving as a useful organizing principle even when it is never actually observed in practice. (wikipedia.org)
The perspective or paradigm underpinning the Rasch model is distinct from the perspective underpinning statistical modelling. (wikipedia.org)
The rationale for this perspective is that the Rasch model embodies requirements which must be met in order to obtain measurement, in the sense that measurement is generally understood in the physical sciences. (wikipedia.org)
This key requirement is embodied within the formal structure of the Rasch model. (wikipedia.org)

These mathematical models include item characteristics also known as the item parameters: discrimination ( a ), difficulty ( b ), and pseudo-guessing ( c ). (assess.com)

Logistic regression models were performed to separately assess associations between mental health outcomes (PTSD and depression), rape and non-sexual violence. (cdc.gov)

The parameters associated with this function are feature vectors, target value and weights of the model. (kdnuggets.com)
In most contexts, the parameters of the model characterize the proficiency of the respondents and the difficulty of the items as locations on a continuous latent variable. (wikipedia.org)

Particularly in the context of fundamental changes to business processes and business models and due to the diversity and complexity of digital solutions, it therefore pays to develop an overview map of the required (digital) capabilities - a so-called capability map. (detecon.com)
IFS Applications will optimize global processes at Franke and will be rolled out in a phased, step-by-step implementation. (sdcexec.com)
By implementing robust reverse-logistics processes, eCommerce service providers can demonstrate their commitment to regulatory compliance related to environmental and consumer protections regulations. (sdcexec.com)
In this context, making logistics processes more efficient and sustainable is cost-effective and supports the climate and the quality of life. (tno.nl)

The other clear trend is that the proportion of post-award applications to other ICs decreases over time for all groups. (nih.gov)

Bayesian shrinkage models have emerged as popular and flexible methods of variable selection in regression settings. (nih.gov)

The model is trained on a dataset of accident records from a large metropolitan area and evaluated using various metrics. (researchgate.net)

Statistical models which describe the relationship between a qualitative dependent variable (that is, one which can take only certain discrete values, such as the presence or absence of a disease) and an independent variable. (nih.gov)

Mathematical models have shown that accurate reporting may slow down the initial phase of an infectious disease outbreak and could lower the number of cases during the peak of an outbreak, but inaccurate reporting could lead to an increase in the number of cases ( 13 ). (cdc.gov)
Mathematical models can become very useful tools in this area. (ispub.com)

The word "logistic" has no particular meaning in this context, except that it is commonly accepted. (maa.org)

In the current call, the selected CGs might be those supplied in environmental, logistics, and health contexts. (elsevier.com)

The next function is used to make the logistic regression model. (kdnuggets.com)

For example, viable biorefinery systems must integrate within a feedstock logistics platform that provides stable, year-round biomass storage and handling, achieves essential economies of scale, and minimizes the biofuel carbon footprint. (rsc.org)

The main purpose of this study is to assess the barriers to the smart logistics applications in companies that receive and provide logistics services with corporate identity in Ordu Province, and to choose the most ideal demand forecasting method during the COVID-19 period. (anadolu.edu.tr)
Specifically, we (i) model writers' constructional choices (progressive vs. non-progressive) across Englishes based on several linguistic predictors simultaneously, (ii) assess how those factors impact the progressive vs. non-progressive alternation, (iii) how several linguistic factors determine, simultaneously, writers' constructional choices and (iv) how those choices differ across varieties and genres. (benjamins.com)

Background: Residential proximity to agricultural pesticide applications has been used as a surrogate for exposure in epidemiologic studies, although little is known about the relationship with levels of pesticides in homes. (nih.gov)

To demonstrate the application of the results to coastal engineering design, various environmental loading functions due to waves and water level are selected. (iahr.org)

A novel ammonia-based pretreatment for densified lignocellulosic biomass was developed to reduce ammonia usage and integrate with viable biomass logistics scenarios. (rsc.org)

EDITOR,-The application of multiple regression models in medical research has greatly increased during the past years. (bmj.com)
Over the course of my 40 years as a computer scientist, I've worked in many different areas of computer science research, but I've always come back to cryptographic computing, because it's absolutely fascinating and has many practical applications. (amazon.com)
A Feature Paper should be a substantial original Article that involves several techniques or approaches, provides an outlook for future research directions and describes possible research applications. (mdpi.com)
This research focuses on the subfield of autonomous aircraft logistics. (trb.org)
The goal of this research is to understand the scope of AACL applications, prospects for adoption, deployment challenges, and the potential implications for planners and policymaking. (trb.org)
Relevant research and industry experience will be taken into consideration when assessing applications. (uowdubai.ac.ae)
According to a representative survey by Bitkom Research, 79 percent of logistics companies see digitization in logistics as the greatest challenge and at the same time as a great opportunity: whether, for example, for route planning with artificial intelligence, goods transport with autonomously driving trucks and drones, or blockchain for a transparent supply chain. (detecon.com)
In this paper, we conduct research on the reform and practice of English listening teaching for the application-guided universities. (atlantis-press.com)
To help ensure that this classification model could have broad application, the research team developed an open-source tool called Extract SDoH from EHRs (EASE) that can automatically identify SDoH and their SDoH categories from clinical notes. (nih.gov)
It is critical that applicants follow the instructions in the Research (R) Instructions in the SF424 (R&R) Application Guide ,except where instructed to do otherwise (in this FOA or in a Notice from NIH Guide for Grants and Contracts ). (nih.gov)
Although regression models with moving average disturbances are surely no less plausible a priori than autoregressive ones, they have been less commonly employed in applied research. (hindawi.com)
Applied mathematics Ph.D. student Dane Wilburne 's research proposal for computing Markov bases for multinomial logit models has been selected for funding under the 2015 National Science Foundation East Asia Pacific Summer Institutes (NSF-EAPSI) fellowship program. (iit.edu)
As a first step, we looked at the proportion of principal investigators (PIs) in each of these groups who submitted at least one research grant application to an IC other than NIGMS after receiving their MIRA (or comparable R01 award). (nih.gov)

Hence, medical journals may be publishing papers in which regression models are misused or results are misinterpreted. (bmj.com)
These results suggest that the proposed model has higher performance in explaining the target variable, which is the accident severity class. (researchgate.net)

At first, the logistic portion of the graph (in red) growths roughly exponentially. (statisticshowto.com)

The new Model 536 embodies Peterbilt's vision of a modern medium-duty truck purposefully designed for Class 6 applications. (worktruckonline.com)

During the pandemic period, smart logistics applications have rapidly changed the way organizations do business in order to provide competitive products and services while still remaining flexible. (anadolu.edu.tr)
Based in the Pacific Northwest, Elder Logistics is a family owned and operated business with a deep understanding of their local culture and values. (worktruckonline.com)
Adhering to those key values has helped Elder Logistics grow their business 400% over the last decade, and as they have grown so have their transportation needs. (worktruckonline.com)
The competition is likely to upend business models and change the landscape for logistics. (trb.org)
This question cannot be answered across the board and at the push of a button for an entire industry, as the prerequisites and business models of logistics companies differ and the digital status quo determines the next steps. (detecon.com)
Chicago - December 9, 2003 - IFS Applications, a component-based business applications provider for medium and large enterprises, this week announced it signed two new contracts that, combined, are worth over $20 million. (sdcexec.com)
IFS Applications will provide an integrated business solution for engineering, project delivery, maintenance, manufacturing, financials and human resources. (sdcexec.com)
Applications to business, natural and social sciences and other areas will be illustrated. (edu.au)
Many companies have introduced service-oriented business models to maximize revenue. (oracle.com)

Overall, the study provides evidence that the Random Forest model is a viable and reliable tool for predicting accident severity and can be used to help reduce the number of fatalities and injuries due to road accidents in the United States. (researchgate.net)

The first goal of this Consortium is to generate animal models that will be useful for studying disease pathogenesis, prevention, and treatment. (nih.gov)

Our Executive Logistics and Supply Chain Management MSc offers you the opportunity to study for an internationally recognised master's qualification. (cranfield.ac.uk)
This study has the characteristic of a roadmap that helps the construction of smart logistics transformation applications by detecting barriers related to smart logistics applications and determining the most ideal demand forecasting alternative in logistics sector. (anadolu.edu.tr)
Conclusions: This study found that 8.8% of Chinese pesticide applicators suffered acute pesticide poisoning and suggests that pesticide safety training, safe application methods, and precautionary behavioral measures could be effective in reducing the risk of pesticide poisoning. (cdc.gov)

Figure 1 splits investigators by the year of their MIRA (or comparable R01) grant and plots the proportion within each cohort that had at least one application to another IC. (nih.gov)
Box plots show post-award RPG and center grant application submissions to other ICs from MIRA (solid purple bars) and R01 comparator (striped green bars) PIs by the year their NIGMS grants were received. (nih.gov)

In this paper, we address the question of how to evaluate such models and explicitly compare the performance of a statistical model derived from a corpus with that of native speakers in selecting one of six Russian TRY verbs. (degruyter.com)
The objective of this work were to apply the UNAIDS Estimation and Projection Package (EPP) to HIV/AIDS epidemic in the north central zone of Nigeria, to propose a statistical model for the course of the epidemic in the zone and to generally investigate the level of trend inherent in the epidemic, over the years. (ispub.com)
Using the EPP as our point of reference, we proposed a statistical model (based on modifications made to the original back calculation methods) for the course of HIV/AIDS epidemic in the zone. (ispub.com)

We decided to use a classification model to make our forecast of visibility. (frontiersin.org)
However, combining both sources resulted in a final concept set that could be used to build the classification model. (nih.gov)
The classification model was developed using a relatively small subset of VHA patients who had been prescribed opioids during FY2016. (nih.gov)

2 ], as the computational difficulty in estimating these models. (hindawi.com)

We compare the predictions the model makes for 60 unseen sentences to the choices adult native speakers make in those same sentences. (degruyter.com)
One typical application is to make accurate recommendation to enhance users' activeness. (intlpress.com)
Applicants are encouraged to apply early to allow adequate time to make any corrections to errors found in the application during the submission process by the due date. (nih.gov)

One problem faced by researchers in this area is how to evaluate such models. (degruyter.com)
A model is needed to evaluate the survival status of patients after vascular reconstruction to determine which factors influence patient ADLs. (hindawi.com)

The better mark principle will be used for the quizzes so do not submit an application for Special Consideration or Special Arrangements if you miss a quiz. (edu.au)
The model takes both the users' attributes and the latent social space into consideration. (intlpress.com)

Anatomy2

Organisms1

Diseases6

Chemicals and Drugs5

Analytical, Diagnostic and Therapeutic Techniques and Equipment57

Psychiatry and Psychology4

Phenomena and Processes18

Disciplines and Occupations5

Anthropology, Education, Sociology and Social Phenomena5

Technology, Industry, Agriculture7

Information Science19

Named Groups4

Health Care56

Geographicals6

Multinomial logistic regression models2

Regression analysis4

Epidemiology2

Empirical4

20011

Theoretical1

20193

Exponential8

Estimate5

20201

Multivariate2

Probability7

Populations3

Psychometrics1

Curve6

Data37

Differential1

Predictive2

Verhulst2

Algorithm3

Growth6

Predict6

Prevalence1

Categorical1

Behavior2

Untyped causal2

Binary1

Rasch8

Item parameters1

Outcomes1

Parameters2

Processes4

Decreases1

Shrinkage1

Dataset1

Dependent variable1

Mathematical models2

Context1

Contexts1

Function1

Scale1

Assess2

Exposure1

Functions1

Scenarios1

Research13

Results2

Graph1

Embodies1

Business9

Viable1

Generate1

Study3

Plots2

Statistical model3

Classification model3

Difficulty1

Make3

Evaluate2

Consideration2