Meanings of sparse data in inglês

There is only sparse data on the combination of acitretin with narrowband UVB.

Indeed, sparse data exist regarding the prevalence, prognosis, and management of AF during pregnancy.

Background: There are sparse data on whether non-pharmaceutical interventions can reduce the spread of influenza.

There are sparse data so far on functional brain correlates of depressive symptoms in prodromal HD.

Conditional logistic regression has become a standard for matched case-control data to tackle the sparse data problem.

However, there is sparse data on their outcomes in patients with acute heart failure (AHF).

Risk factors for dysphagia are largely unknown, with sparse data available from mostly small cohorts without systematic dysphagia screening.

We were unable to compare the diagnostic performance of the tests using formal statistical methods because of sparse data.

But it is our contention that any strong signal can be perceived even when only sparse data are available.

The company's executives have warned investors in the past against fixating on sparse data points from its large supply chain.

Most of the time, modelling was performed for descriptive purposes, with rich rather than sparse data and using NONMEM software.

Background: There are sparse data available regarding outcome of meniscal repair performed at the time of ACL reconstruction in the pediatric and adolescent population.

Hierarchical Bayesian analyses account for individual differences by simultaneously estimating group and individual factors and compensate for sparse data by pooling information across participants.

There are sparse data on the risk for thrombotic and bleeding complications according to the CHADS(2) score in patients receiving anticoagulant therapy.

You can extract signals from noisy data by various clever methods, but when you have sparse data, the only recourse is to acquire more.

Findings from the review are preliminary because of sparse data, heterogeneity across study populations, exposure and outcome assessments, and potential risk of bias across studies.