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Divorcing in middle age and its effects on BMI
Umeå universitet, Samhällsvetenskapliga fakulteten, Statistiska institutionen.
Umeå universitet, Samhällsvetenskapliga fakulteten, Institutionen för nationalekonomi.
Umeå universitet, Medicinska fakulteten, Institutionen för folkhälsa och klinisk medicin, Epidemiologi och global hälsa.ORCID-id: 0000-0003-2475-7131
Umeå universitet, Samhällsvetenskapliga fakulteten, Statistiska institutionen.
(Engelska)Manuskript (preprint) (Övrigt vetenskapligt)
Nationell ämneskategori
Sannolikhetsteori och statistik
Forskningsämne
statistik
Identifikatorer
URN: urn:nbn:se:umu:diva-39612OAI: oai:DiVA.org:umu-39612DiVA, id: diva2:394392
Tillgänglig från: 2011-02-02 Skapad: 2011-02-02 Senast uppdaterad: 2018-06-08Bibliografiskt granskad
Ingår i avhandling
1. Selection of smoothing parameters with application in causal inference
Öppna denna publikation i ny flik eller fönster >>Selection of smoothing parameters with application in causal inference
2011 (Engelska)Doktorsavhandling, sammanläggning (Övrigt vetenskapligt)
Abstract [en]

This thesis is a contribution to the research area concerned with selection of smoothing parameters in the framework of nonparametric and semiparametric regression. Selection of smoothing parameters is one of the most important issues in this framework and the choice can heavily influence subsequent results. A nonparametric or semiparametric approach is often desirable when large datasets are available since this allow us to make fewer and weaker assumptions as opposed to what is needed in a parametric approach. In the first paper we consider smoothing parameter selection in nonparametric regression when the purpose is to accurately predict future or unobserved data. We study the use of accumulated prediction errors and make comparisons to leave-one-out cross-validation which is widely used by practitioners. In the second paper a general semiparametric additive model is considered and the focus is on selection of smoothing parameters when optimal estimation of some specific parameter is of interest. We introduce a double smoothing estimator of a mean squared error and propose to select smoothing parameters by minimizing this estimator. Our approach is compared with existing methods.The third paper is concerned with the selection of smoothing parameters optimal for estimating average treatment effects defined within the potential outcome framework. For this estimation problem we propose double smoothing methods similar to the method proposed in the second paper. Theoretical properties of the proposed methods are derived and comparisons with existing methods are made by simulations.In the last paper we apply our results from the third paper by using a double smoothing method for selecting smoothing parameters when estimating average treatment effects on the treated. We estimate the effect on BMI of divorcing in middle age. Rich data on socioeconomic conditions, health and lifestyle from Swedish longitudinal registers is used.

Ort, förlag, år, upplaga, sidor
Umeå: Statistiska institutionen, Umeå universitet, 2011. s. 27
Serie
Statistical studies, ISSN 1100-8989 ; 44
Nyckelord
Smoothing parameter selection, Nonparametric regression, Semiparametric additive model, Double smoothing, Causal inference, BMI, Divorce
Nationell ämneskategori
Sannolikhetsteori och statistik
Forskningsämne
statistik
Identifikatorer
urn:nbn:se:umu:diva-39614 (URN)978-91-7459-147-7 (ISBN)
Disputation
2011-03-04, Norra Beteendevetarhuset Hörsal 1031, Umeå universitet, Umeå, 10:15 (Engelska)
Opponent
Handledare
Tillgänglig från: 2011-02-11 Skapad: 2011-02-02 Senast uppdaterad: 2018-06-08Bibliografiskt granskad

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Häggström, JennyWesterlund, OlleNorberg, Margaretade Luna, Xavier

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Häggström, JennyWesterlund, OlleNorberg, Margaretade Luna, Xavier
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Statistiska institutionenInstitutionen för nationalekonomiEpidemiologi och global hälsa
Sannolikhetsteori och statistik

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Totalt: 206 träffar
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