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[PDF] Top 20 Estimation/Imputation strategies for missing data in survival analysis

Has 10000 "Estimation/Imputation strategies for missing data in survival analysis" found on our website. Below are the top 20 most common "Estimation/Imputation strategies for missing data in survival analysis".

Estimation/Imputation strategies for missing data in survival analysis

Estimation/Imputation strategies for missing data in survival analysis

... authors in the last decade. For a complete overview on missing data, we refer to the monography by Little and Rubin Little and Rubin ...interested in survival function and ... Voir le document complet

17

Comparative analysis of missing value imputation methods to improve clustering and interpretation of microarray experiments.

Comparative analysis of missing value imputation methods to improve clustering and interpretation of microarray experiments.

... with missing values are eliminated to create a Reference ...simulated missing values are generated for a fixed τ percentage and are included in the Reference ...matrix. In a second ... Voir le document complet

17

Data Imputation and Compression For Parkinson's Disease Clinical Questionnaires

Data Imputation and Compression For Parkinson's Disease Clinical Questionnaires

... imputed in an entire database using simple linear regression, starting with the variable with the least number of missing values and using complete datapoints to initiate the process ...specifically ... Voir le document complet

16

New OLAP operators for missing data

New OLAP operators for missing data

... methods for collecting social network structure, and the shift in scale of these networks, introduce a greater degree of imprecision that requires rethink- ing on how social network analysis ... Voir le document complet

15

2013 — Impact analysis of a multiple imputation technique for handling missing value in the ISBSG repository of software projects

2013 — Impact analysis of a multiple imputation technique for handling missing value in the ISBSG repository of software projects

... Hot-Deck Imputation: the technique of hot deck imputation (Little et Rubin, 2002), (Kim et Wayne, 2004), (Fuller et Kim, 2005) and (Ford, 1983) is called fractional hot deck ...Hot-deck imputation ... Voir le document complet

150

FrailtyPack: An R Package for the Analysis of Correlated Survival Data with Frailty Models Using Penalized Likelihood or Parametrical Estimation

FrailtyPack: An R Package for the Analysis of Correlated Survival Data with Frailty Models Using Penalized Likelihood or Parametrical Estimation

... clustered data, recurrent events Frailty models are extensions of the Cox proportional hazards model which is the most pop- ular model in survival ...analysis. In many clinical ... Voir le document complet

3

2017 — Improve software defect estimation with six sigma defect measures : empirical studies imputation techniques on ISBSG data repository with a high ratio of missing data

2017 — Improve software defect estimation with six sigma defect measures : empirical studies imputation techniques on ISBSG data repository with a high ratio of missing data

... research analysis work reports on a set of empirical studies tackling the research issues of improving software defect estimation models with Sigma defect measures ...ISBSG data repository with a ... Voir le document complet

230

A new effective method for estimating missing values
in the sequence data prior to phylogenetic analysis

A new effective method for estimating missing values in the sequence data prior to phylogenetic analysis

... Abstract: In this article we address the problem of phylogenetic inference from nucleic acid data containing missing ...“Probabilistic estimation of missing values” (PEMV), allowing one ... Voir le document complet

9

Joint data imputation and mechanistic modelling for simulating heart-brain interactions in incomplete datasets

Joint data imputation and mechanistic modelling for simulating heart-brain interactions in incomplete datasets

... between data-driven and mechanistic approaches to heart- brain analysis, in this work we propose to learn cardiovascular dynamics from brain imaging and clinical data by leveraging on ... Voir le document complet

10

Multivariate missing data in hydrology – Review and applications.

Multivariate missing data in hydrology – Review and applications.

... streamflow estimation techniques at ungauged sites (Vogel and Fennessey, 1994; Shu and Ouarda, 2012) to fill in missing values, based on a number of source stations, and into several target ... Voir le document complet

41

Difference in Restricted Mean Survival Time for Cost-Effectiveness Analysis Using Individual Patient Data Meta-Analysis: Evidence from a Case Study

Difference in Restricted Mean Survival Time for Cost-Effectiveness Analysis Using Individual Patient Data Meta-Analysis: Evidence from a Case Study

... different survival analysis methods used to estimate the difference in restricted mean survival time (rmstD) from IPD-MA may lead to different cost-effectiveness ...vival analysis ... Voir le document complet

13

PBDW method for state estimation: error analysis for noisy data and nonlinear formulation

PBDW method for state estimation: error analysis for noisy data and nonlinear formulation

... consist in adding certain prior assumptions and then searching through the most plausible solution through sampling strategies of the posterior ...costly in a high-dimensional framework, approaches ... Voir le document complet

30

A Data Imputation Method with Support Vector Machines for Activity-Based Transportation Models

A Data Imputation Method with Support Vector Machines for Activity-Based Transportation Models

... arisen in the area of miss- ing data treatment, such as neural networks, fuzzy logic systems, and rough sets, which stimulate the missing data research to a new ...stage. In this paper, ... Voir le document complet

9

A peptide-level multiple imputation strategy accounting for the different natures of missing values in proteomics data

A peptide-level multiple imputation strategy accounting for the different natures of missing values in proteomics data

... method for identifying and quantifying broad amounts of pro- teins in biological samples is based on the label free mass spectrometry (MS) analysis of their constituting peptides (protein fragments ... Voir le document complet

38

A Comparison of Imputation Strategies in Cluster Randomized Trials with Missing Binary Outcomes

A Comparison of Imputation Strategies in Cluster Randomized Trials with Missing Binary Outcomes

... and analysis method ...subjects in 376 households with difficult-to-treat head-lice ...15. In this trial, a cluster design was used to prevent contamination between the two groups within the ... Voir le document complet

34

Dealing with missing data in family-based association studies: a multiple imputation approach

Dealing with missing data in family-based association studies: a multiple imputation approach

... test for association with genetic risk factors in the framework of traditional statistical packages such as Stata, S-Plus/R or SAS, which allow the inclusion of arbitrary genetic and/or environmental ... Voir le document complet

33

Nonparametric estimation for survival data with censoring indicators missing at random

Nonparametric estimation for survival data with censoring indicators missing at random

... In this paper, we mainly concentrate on the MAR ...consider in Section 2.2. This model has been considered by several authors in the last ...interested in survival function and ... Voir le document complet

24

An Accelerated Greedy Missing Point Estimation Procedure

An Accelerated Greedy Missing Point Estimation Procedure

... explained in the next ...leap in the small- est singular value, as a side effect, it also minimizes the impact on the penultimate singular ...value. In this way, the greedy optimum at one iteration ... Voir le document complet

25

Advanced survival models for risk-factor analysis in scrapie

Advanced survival models for risk-factor analysis in scrapie

... out. In this study, 641 Manech red-faced sheep from six scrapie-affected field flocks in Pyrénées Atlantiques, France, were monitored for clinical scrapie over a 6–9 year ...submitted for ... Voir le document complet

20

Inferring missing schema from linked data using formal concept analysis (FCA)

Inferring missing schema from linked data using formal concept analysis (FCA)

... Linked data principles include: URis for ident ifying things (resour ces) in the world, RDF model for struct uring and linking descriptions of things, HTTP for retriev[r] ... Voir le document complet

106

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