Evidence map›Paper›PMID 27158191›Full record

ArticleComputational statistics2016

Ivo D Dinov, Kyle Siegrist, Dennis K Pearl, Alexandr Kalinin, Nicolas Christou

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Computational statistics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Ivo D DinovStatistics Online Computational Resource (SOCR), Michigan Institute for Data Science (MIDAS), School of Nursing, University of Michigan, Ann Arbor, MI 48109; SOCR Resource, Department of Statistics, University of California, Los Angeles, Los Angeles, CA 90095; Center for Computational Biology, University of California, Los Angeles, Los Angeles, CA 90095.
Kyle SiegristDepartment of Mathematical Sciences, University of Alabama, Huntsville, AL 35899.
Dennis K PearlDepartment of Statistics, Pennsylvania State University, State College, PA 16801.
Alexandr KalininStatistics Online Computational Resource (SOCR), Michigan Institute for Data Science (MIDAS), School of Nursing, University of Michigan, Ann Arbor, MI 48109.
Nicolas ChristouSOCR Resource, Department of Statistics, University of California, Los Angeles, Los Angeles, CA 90095.

Funding

Center for Computational Biology (RMI)U54RR021813 · NCRR · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI TOGA, ARTHUR W · 2004 to 2010
$25.3M
Pilot and Feasibility (P and F) ProgramP30DK089503 · NIDDK · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Jeffrey F Horowitz · 2010 to 2026
$20.3M
TrainingU54EB020406 · NIBIB · UNIVERSITY OF SOUTHERN CALIFORNIA · PI TOGA, ARTHUR W · 2014 to 2018
$12.5M
Public Outreach and Education CoreP50NS091856 · NINDS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI ALBIN, ROGER L · 2014 to 2019
$10.1M
Pilot Projects CoreP20NR015331 · NINR · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI LARSON, JANET L. · 2014 to 2018
$1.3M
NCRR NIH HHS U54 RR021813NIBIB NIH HHS U54 EB020406NIDDK NIH HHS P30 DK089503NINDS NIH HHS P50 NS091856NINR NIH HHS P20 NR015331
6 · The paper itself

Abstract

Probability distributions are useful for modeling, simulation, analysis, and inference on varieties of natural processes and physical phenomena. There are uncountably many probability distributions. However, a few dozen families of distributions are commonly defined and are frequently used in practice for problem solving, experimental applications, and theoretical studies. In this paper, we present a new computational and graphical infrastructure, the

Indexed as

applicationsDistributomegraphical user interfaceinferencemodelsProbability distributionstransformations

Identifiers

PMID27158191
PMCPMC4856044

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.