Literature DB >> 858435

Spline interpolation of demographic data.

D R McNEIL, T J Trussell, J C Turner.   

Abstract

There are many problems in demography involving the smoothing or interpolation of data. Usually a solution is obtained by fitting a polynomial or a suitable model curve. Often, however, fitting a spline proves to be a simple recourse. Splines, were invented nearly 30 years ago and have been shown to have desirable properties. Although spline functions are by no means unknown to demographers, no simple and direct explanation of their application exists. We hope to remedy this deficiency with this expository piece.

Mesh:

Year:  1977        PMID: 858435

Source DB:  PubMed          Journal:  Demography        ISSN: 0070-3370


  1 in total

1.  SPLINE FUNCTIONS AND THE PROBLEM OF GRADUATION.

Authors:  I J Schoenberg
Journal:  Proc Natl Acad Sci U S A       Date:  1964-10       Impact factor: 11.205

  1 in total
  10 in total

1.  A simple method for estimating age-specific rates from sequential cross sections.

Authors:  Carl P Schmertmann
Journal:  Demography       Date:  2002-05

2.  End of the spectacular decrease in fall-related mortality rate: men are catching up.

Authors:  Klaas A Hartholt; Suzanne Polinder; Ed F van Beeck; Nathalie van der Velde; Esther M M van Lieshout; Peter Patka; Tischa J M van der Cammen
Journal:  Am J Public Health       Date:  2012-03-08       Impact factor: 9.308

3.  An introduction to nonparametric regression in demographic research.

Authors:  C P Schmertmann
Journal:  Eur J Popul       Date:  1995

4.  Proportional hazards models for current status data: application to the study of differentials in age at weaning in Pakistan.

Authors:  I D Diamond; J W McDonald; I H Shah
Journal:  Demography       Date:  1986-11

5.  Experiments in modelling recent Danish fertility curves.

Authors:  J M Hoem; D Madsen; J L Nielsen; E M Ohlsen; H O Hansen; B Rennermalm
Journal:  Demography       Date:  1981-05

6.  Adverse drug reactions related hospital admissions in persons aged 60 years and over, The Netherlands, 1981-2007: less rapid increase, different drugs.

Authors:  Klaas A Hartholt; Nathalie van der Velde; Caspar W N Looman; Martien J M Panneman; Ed F van Beeck; Peter Patka; Tischa J M van der Cammen
Journal:  PLoS One       Date:  2010-11-12       Impact factor: 3.240

7.  An evaluation of the accuracy of small-area demographic estimates of population at risk and its effect on prevalence statistics.

Authors:  Jack D Baker; Adelamar Alcantara; Xiaomin Ruan; Srini Vasan; Crouse Nathan
Journal:  Popul Health Metr       Date:  2013-12-20

8.  Annually modelling built-settlements between remotely-sensed observations using relative changes in subnational populations and lights at night.

Authors:  Jeremiah J Nieves; Alessandro Sorichetta; Catherine Linard; Maksym Bondarenko; Jessica E Steele; Forrest R Stevens; Andrea E Gaughan; Alessandra Carioli; Donna J Clarke; Thomas Esch; Andrew J Tatem
Journal:  Comput Environ Urban Syst       Date:  2020-03

9.  Alcohol sales in Canadian liquor outlets as a predictor of subsequent COVID-19 infection rates: a time-series analysis.

Authors:  Tim Stockwell; Jinhui Zhao; Fariha Alam; Sam Churchill; Yipu Shi; Timothy Naimi
Journal:  Addiction       Date:  2022-08-01       Impact factor: 7.256

10.  Comparison of non-parametric methods for ungrouping coarsely aggregated data.

Authors:  Silvia Rizzi; Mikael Thinggaard; Gerda Engholm; Niels Christensen; Tom Børge Johannesen; James W Vaupel; Rune Lindahl-Jacobsen
Journal:  BMC Med Res Methodol       Date:  2016-05-23       Impact factor: 4.615

  10 in total

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