Evidence map›Paper›PMID 27773970›Full record

ArticleJournal of the Royal Statistical Society. Series A, (Statistics in Society)2016

A quasi-Monte-Carlo comparison of parametric and semiparametric regression methods for heavy-tailed and non-normal data: an application to healthcare costs.

Andrew M Jones, James Lomas, Peter T Moore, Nigel Rice

Abstract read
In one paragraph

Article in Journal of the Royal Statistical Society. Series A, (Statistics in Society), 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

  1. Trial
  2. Risk adjustment for regional healthcare funding allocations with ensemble methods: an empirical study and interpretation.The European journal of health economics : HEPAC : health economics in prevention and care · 2024
    Article
  3. Article
  4. Article
  5. Mapping the Strengths and Difficulties Questionnaire onto the Child Health Utility 9D in a large study of children.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2019
    Article
  6. Review
  7. Review
  8. Article
  9. Article
  10. Article
  11. Hospital Costs of Foreign Non-Resident Patients: A Comparative Analysis in Catalonia, Spain.International journal of environmental research and public health · 2017
    Article
  12. Article
  13. Article
  14. 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

4 authors.

Andrew M JonesUniversity of York UK.
James LomasUniversity of York UK.
Peter T MooreICON Health Economics and Epidemiology Sydney Australia.
Nigel RiceUniversity of York UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We conduct a quasi-Monte-Carlo comparison of the recent developments in parametric and semiparametric regression methods for healthcare costs, both against each other and against standard practice. The population of English National Health Service hospital in-patient episodes for the financial year 2007-2008 (summed for each patient) is randomly divided into two equally sized subpopulations to form an estimation set and a validation set. Evaluating out-of-sample using the validation set, a conditional density approximation estimator shows considerable promise in forecasting conditional means, performing best for accuracy of forecasting and among the best four for bias and goodness of fit. The best performing model for bias is linear regression with square-root-transformed dependent variables, whereas a generalized linear model with square-root link function and Poisson distribution performs best in terms of goodness of fit. Commonly used models utilizing a log-link are shown to perform badly relative to other models considered in our comparison.

Indexed as

Healthcare costsHealth econometricsHeavy tailsQuasi‐Monte‐Carlo methods

Identifiers

PMID27773970
PMCPMC5053270

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.