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Counting Dependence Predictors

Franziska Roesner, Doug Burger, Stephen W. Keckler
2008 2008 International Symposium on Computer Architecture  
This paper proposes a new dependence predictor design, called a Counting Dependence Predictor (CDP).  ...  We describe and evaluate a distributed Counting Dependence Predictor and protocol that achieves 92% of the performance of perfect memory disambiguation.  ...  This paper proposes a class of dependence predictor designs, called Counting Dependence Predictors (CDPs).  ... 
doi:10.1109/isca.2008.6 dblp:conf/isca/RoesnerBK08 fatcat:arc5eeppybgqfgpg5n4yh2noie

Counting Dependence Predictors

Franziska Roesner, Doug Burger, Stephen W. Keckler
2008 SIGARCH Computer Architecture News  
This paper proposes a new dependence predictor design, called a Counting Dependence Predictor (CDP).  ...  We describe and evaluate a distributed Counting Dependence Predictor and protocol that achieves 92% of the performance of perfect memory disambiguation.  ...  This paper proposes a class of dependence predictor designs, called Counting Dependence Predictors (CDPs).  ... 
doi:10.1145/1394608.1382140 fatcat:za6fukbdm5dpfdu6rcbg2lmady

Supplementary Tables and Figures to "Why Does Library Holding Format Really Matter for Book Impact Assessment? Comprehensive Study of Print and Eholdings and 14 Other Metrics"

Ashraf Maleki
2021 figshare.com  
The dependent metric is News Posts and predictors are LPH and LEH.  ...  The dependent metric is Syllabus Mentions (of opensyllabus.org) and predictors are LPH and LEH. ...................... 46 Table 20.  ... 
doi:10.6084/m9.figshare.13502703.v3 fatcat:m75ibykodzcbfp3mjvf3vxmzje

Variance Inflation Factor: As a Condition for the Inclusion of Suppressor Variable(s) in Regression Analysis

Michael Olusegun Akinwande, Hussaini Garba Dikko, Agboola Samson
2015 Open Journal of Statistics  
We treated plant heading, plant height, tiller count and panicle length as predictor (independent) variables while grain yield as response (dependent) variable.  ...  (or set of predictors) that are correlated with the outcome (dependent) variable.  ... 
doi:10.4236/ojs.2015.57075 fatcat:6vn4yececfctphe5qztjq7pxsq

Supplementary Tables and Figures to Article: "Why Does Library Holding Format Really Matter for Book Impact Assessment? Predicting Citations and Altmetrics with Print and Electronic Holdings"

Ashraf Maleki
2021 figshare.com  
The dependent metric is Syllabus Mentions (of altmetric.com) and predictors are LPH and LEH.  ...  The dependent metric is Syllabus Mentions (of opensyllabus.org) and predictors are LPH and LEH. ...................... 29 Table 15.  ... 
doi:10.6084/m9.figshare.14593506.v1 fatcat:7whq6m4nrngulglibpfepp34gq

Identifying the Limitation of Stepwise Selection for Variable Selection in Regression Analysis

Akinwande Michael Olusegun
2015 American Journal of Theoretical and Applied Statistics  
the beta weight of other predictors in the model and the overall predictability of the model as argued.  ...  Subsequently, from the comparisons, it was evident that including the suspected predictor (suppressor) variable that was not significant in the bivariate case as suggested by the stepwise selection improved  ...  Plant heading, Plant height, Tiller count and Panicle length were regarded as predictor (independent) variables while Grain yield was regarded as response (dependent) variable.  ... 
doi:10.11648/j.ajtas.20150405.22 fatcat:lwan3gtrorhfpkxzldlbua6kxu

Thrombocytosis at time of hospitalization is a reliable indicator for severity of CAP patients in ICU

Atef A. Hesham, Helmy A. Heba
2012 Egyptian Journal of Chest Disease and Tuberculosis  
Objective: To evaluate if abnormal platelet count in hospitalized patients with CAP was associated with severity of CAP comparing it with abnormal leucocytes' count.  ...  multiple linear regression analysis was performed to study the simultaneous effects of the different data variables on PSI, CURB-65 score, need for mechanical ventilation and length of stay in ICU as dependent  ...  The second model used CURB-65 score as a dependent variable; the most powerful predictor was platelet count while TLC was very less significant.  ... 
doi:10.1016/j.ejcdt.2012.10.030 fatcat:xbzgwqbo6rasbk6jo4xlsosepy

CD4/CD8 ratio and CD8 counts predict CD4 response in HIV-1-infected drug naive and in patients on cART

Rafael Sauter, Ruizhu Huang, Bruno Ledergerber, Manuel Battegay, Enos Bernasconi, Matthias Cavassini, Hansjakob Furrer, Matthias Hoffmann, Mathieu Rougemont, Huldrych F Günthard, Leonhard Held
2016 Medicine  
We examine if CD8 cell count is a prognostic factor for CD4 cell counts during an HIV infection.  ...  For each subgroup, it was quantified to which extent CD8 cell counts or CD4/CD8 ratios are prognostic factors for disease progression.  ...  In contrast to the predictors in the upper part, these predictors are not time dependent and have an effect on the predicted CD4 cell count level only.  ... 
doi:10.1097/md.0000000000005094 pmid:27759638 pmcid:PMC5079322 fatcat:tt5njxxc4faszjntn3mzn37bam

Supplementary Tables and Figures to "Why Does Library Holding Format Really Matter for Book Impact Assessment?"

Ashraf Maleki
2021 figshare.com  
The dependent metric is Syllabus Mentions (of opensyllabus.org) and predictors are LPH and LEH.  ...  The dependent metric is Syllabus Mentions (of opensyllabus.org) and predictors are LPH and LEH. ...................... 46 Table 20.  ... 
doi:10.6084/m9.figshare.13502703.v5 fatcat:xrpwm6u7ffaulcei4dihyiz2ne

Regression Models for Count Data: Illustrations using Longitudinal Predictors of Childhood Injury

B. T. Karazsia, M. H. M. van Dulmen
2008 Journal of Pediatric Psychology  
Conclusions This study offers a practical demonstration of techniques designed to handle dependent count variables.  ...  Objective To offer a practical demonstration of regression models recommended for count outcomes using longitudinal predictors of children's medically attended injuries.  ...  Given the time lag between independent variables and the dependent count outcome, variables that emerge as significant predictors of injuries highlight potential targets for prevention efforts.  ... 
doi:10.1093/jpepsy/jsn055 pmid:18522994 fatcat:rhvxdflxszg6vl25pf5qvbgvqm

Time-Dependent Predictors of Loss to Follow-Up in a Large HIV Treatment Cohort in Nigeria

Seema Thakore Meloni, Charlotte Chang, Beth Chaplin, Holly Rawizza, Oluwatoyin Jolayemi, Bolanle Banigbe, Prosper Okonkwo, Phyllis Kanki
2014 Open Forum Infectious Diseases  
As risk of LTFU is a continuous issue, the aim of this evaluation was to augment existing information with further examination of time-dependent predictors of loss. Methods.  ...  Most evaluations of loss to follow-up (LTFU) in human immunodeficiency virus (HIV) treatment programs focus on baseline predictors, prior to antiretroviral therapy (ART) initiation.  ...  CD4 + Cell Counts and Viral Suppression Rates Predict LTFU in Time-Dependent Manner After finding that baseline CD4 + cell count was a significant predictor of LTFU, we wanted to determine whether CD4  ... 
doi:10.1093/ofid/ofu055 pmid:25734125 pmcid:PMC4281819 fatcat:k4c3bdets5chzhn4toekcnezc4

Bayesian Space-time SIR modeling of Covid-19 in two US states during the 2020-2021 pandemic [article]

Andrew B Lawson, Joanne Kim
2022 arXiv   pre-print
It is found that models with three deprivation predictors and neighborhood effects are important.  ...  A variety of models are evaluated at the county level for goodness-of-fit and an assessment of confounding predictors is also made.  ...  A base model (model 1) consisting of the fixed deprivation predictors, an uncorrelated random effect and lagged case count and neighborhood case count combined with the mobility index: + .w i r T i , j  ... 
arXiv:2202.06879v2 fatcat:lwcvv46p3ral3dmkw4va2p5w2u

Bayesian Space-time SIR modeling of Covid-19 in two US states during the 2020-2021 pandemic [article]

Andrew B Lawson, Joanne Kim
2022 medRxiv   pre-print
It is found that models with three deprivation predictors and neighborhood effects are important.  ...  A variety of models are evaluated at the county level for goodness-of-fit and an assessment of confounding predictors is also made.  ...  A base model (model 1) consisting of the fixed deprivation predictors, an uncorrelated random effect and lagged case count and neighborhood case count combined with the mobility index: + .w i r T i , j  ... 
doi:10.1101/2022.02.14.22270941 fatcat:xhz2rpszonh2hpftrwxzkyr324

EXACT

Muawya Al-Otoom, Elliott Forbes, Eric Rotenberg
2010 Proceedings of the 7th ACM international conference on Computing frontiers - CF '10  
Branches that depend directly or indirectly on load instructions are a leading cause of mispredictions by state-of-the-art branch predictors.  ...  We propose that stores to the memory addresses on which a dynamic branch depends, directly update its prediction in the predictor.  ...  Explicit Loop Predictor Some loops have trip-counts that depend on one or more loads preceding the loop.  ... 
doi:10.1145/1787275.1787321 dblp:conf/cf/Al-OtoomFR10 fatcat:325g7u7kujdobkac5klmrwh6tm

Supplementary Tables and Figures to "Why Does Library Holding Format Really Matter for Book Impact Assessment?"

Ashraf Maleki
2021 figshare.com  
The dependent metric is Scopus Citations and predictors are LPH and LEH.  ...  The dependent metric is Syllabus Mentions (of altmetric.com) and predictors are LPH and LEH.  ... 
doi:10.6084/m9.figshare.13502703.v7 fatcat:axbayaksu5cfvllcck7txltqei
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