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Lundin, Mathias
Publikasjoner (10 av 11) Visa alla publikasjoner
Karlsson, M., Lundquist, A. & Lundin, M. (2017). Student active learning online and in the classroom by combining the best of Flipped Classroom and MOOCs when teaching statistics. In: Royal Statistical Society 2017 International Conference, Glasgow, 4-7 september 2017: . Paper presented at Royal Statistical Society 2017 International Conference.
Åpne denne publikasjonen i ny fane eller vindu >>Student active learning online and in the classroom by combining the best of Flipped Classroom and MOOCs when teaching statistics
2017 (engelsk)Inngår i: Royal Statistical Society 2017 International Conference, Glasgow, 4-7 september 2017, 2017Konferansepaper, Oral presentation with published abstract (Annet vitenskapelig)
HSV kategori
Identifikatorer
urn:nbn:se:umu:diva-140579 (URN)
Konferanse
Royal Statistical Society 2017 International Conference
Tilgjengelig fra: 2017-10-13 Laget: 2017-10-13 Sist oppdatert: 2018-06-09
Karlsson, M., Lundquist, A. & Lundin, M. (2017). Student active learning online and in the classroom by combining the best ofFlipped Classroom and MOOCs. In: Universitetspedagogiska konferensen 2017.: Undervisning i praktiken – föreläsning, flexibelt eller mitt emellan?. Paper presented at Universitetspedagogiska konferensen 2017, Umeå, 24-25 oktober, 2017. (pp. 37-37).
Åpne denne publikasjonen i ny fane eller vindu >>Student active learning online and in the classroom by combining the best ofFlipped Classroom and MOOCs
2017 (engelsk)Inngår i: Universitetspedagogiska konferensen 2017.: Undervisning i praktiken – föreläsning, flexibelt eller mitt emellan?, 2017, s. 37-37Konferansepaper, Oral presentation with published abstract (Annet vitenskapelig)
HSV kategori
Identifikatorer
urn:nbn:se:umu:diva-141381 (URN)
Konferanse
Universitetspedagogiska konferensen 2017, Umeå, 24-25 oktober, 2017.
Tilgjengelig fra: 2017-10-31 Laget: 2017-10-31 Sist oppdatert: 2018-06-09
Karlsson, M. & Lundin, M. (2016). On statistical methods for labor market evaluation under interference between units. Uppsala: Institutet för arbetsmarknads- och utbildningspolitisk utvärdering, IFAU
Åpne denne publikasjonen i ny fane eller vindu >>On statistical methods for labor market evaluation under interference between units
2016 (engelsk)Rapport (Fagfellevurdert)
Abstract [en]

Evaluation studies aim to provide answers to important questions like: How does this program or policy intervention affect the outcome variables of interest? In order to answer such questions, using the traditional statistical evaluation (or causal inference) methods, some conditions must be satised. One requirement is that the outcomes of individuals are not affected by the treatment given to other individuals, i.e., that the no-interference assumption is satisfied. This assumption might, in many situations, not be plausible. However, recent progress in the research field has provided us with statistical methods for causal inference even under interference. In this paper, we review some of themost important contributions made. We also discuss how we think these methods can or cannot be used within the field of policy evaluation and if there are some measures to be taken when planning an evaluation study in order to be able to use a particular method. In addition, we give examples on how interference has been dealt within some evaluation applications including, but not limited to, labor market evaluations, in the recent past.

sted, utgiver, år, opplag, sider
Uppsala: Institutet för arbetsmarknads- och utbildningspolitisk utvärdering, IFAU, 2016. s. 35
Serie
IFAU Working Paper, ISSN 1651-1166 ; 2016:24
Emneord
causal effect, causal inference, contagion effect, direct and indirect effects, evaluation studies, neighborhood effect, peer effect, peer influence effect, policy intervention, spillover effect, SUTVA, treatment effect
HSV kategori
Forskningsprogram
statistik
Identifikatorer
urn:nbn:se:umu:diva-128893 (URN)
Forskningsfinansiär
Institute for Evaluation of Labour Market and Education Policy (IFAU), 152/2012
Tilgjengelig fra: 2016-12-19 Laget: 2016-12-19 Sist oppdatert: 2018-06-09
Lundin, M. & Karlsson, M. (2014). Estimation of causal effects in observational studies with interference between units. Statistical Methods & Applications, 23(3), 417-433
Åpne denne publikasjonen i ny fane eller vindu >>Estimation of causal effects in observational studies with interference between units
2014 (engelsk)Inngår i: Statistical Methods & Applications, ISSN 1618-2510, E-ISSN 1613-981X, Vol. 23, nr 3, s. 417-433Artikkel i tidsskrift (Fagfellevurdert) Published
Abstract [en]

Causal effects are usually estimated under the assumption of no interference between individuals. This assumption means that the potential outcomes for one individual are unaffected by the treatments received by other individuals. In many situations, this is not reasonable to assume. Moreover, not taking interference into account could result in misleading conclusions about the effect of a treatment. For two-stage observational studies, where treatment assigment is randomized in the first stage but not in the second stage, we propose IPW estimators of direct and indirect causal effects as defined by Hudgens and Halloran (J Am Stat Assoc 103(482):832-842, 2008) for two-stage randomized studies. We illustrate the use of these estimators in an evaluation study of an implementation of Triple P (a parenting support program) within preschools in Uppsala, Sweden.

Emneord
Causal inference, direct effect, indirect effect
HSV kategori
Forskningsprogram
statistik
Identifikatorer
urn:nbn:se:umu:diva-43238 (URN)10.1007/s10260-014-0257-8 (DOI)000339895900010 ()
Merknad

Originally included in thesis in manuscript form.

Tilgjengelig fra: 2011-04-25 Laget: 2011-04-25 Sist oppdatert: 2018-06-08bibliografisk kontrollert
Degerman, S., Domellöf, M., Landfors, M., Linder, J., Lundin, M., Haraldsson, S., . . . Forsgren, L. (2014). Long Leukocyte Telomere Length at Diagnosis Is a Risk Factor for Dementia Progression in Idiopathic Parkinsonism. PLoS ONE, 9(12), Article ID e113387.
Åpne denne publikasjonen i ny fane eller vindu >>Long Leukocyte Telomere Length at Diagnosis Is a Risk Factor for Dementia Progression in Idiopathic Parkinsonism
Vise andre…
2014 (engelsk)Inngår i: PLoS ONE, ISSN 1932-6203, E-ISSN 1932-6203, Vol. 9, nr 12, artikkel-id e113387Artikkel i tidsskrift (Fagfellevurdert) Published
Abstract [en]

Telomere length (TL) is regarded as a marker of cellular aging due to the gradual shortening by each cell division, but is influenced by a number of factors including oxidative stress and inflammation. Parkinson's disease and atypical forms of parkinsonism occur mainly in the elderly, with oxidative stress and inflammation in afflicted cells. In this study the relationship between blood TL and prognosis of 168 patients with idiopathic parkinsonism (136 Parkinson's disease [PD], 17 Progressive Supranuclear Palsy [PSP], and 15 Multiple System Atrophy [MSA]) and 30 controls was investigated. TL and motor and cognitive performance were assessed at baseline (diagnosis) and repeatedly up to three to five years follow up. No difference in TL between controls and patients was shown at baseline, nor any significant difference in TL stability or attrition during follow up. Interestingly, a significant relationship between TL at diagnosis and cognitive phenotype at follow up in PD and PSP patients was found, with longer mean TL at diagnosis in patients that developed dementia within three years.

HSV kategori
Identifikatorer
urn:nbn:se:umu:diva-99223 (URN)10.1371/journal.pone.0113387 (DOI)000346375400009 ()
Tilgjengelig fra: 2015-04-20 Laget: 2015-02-04 Sist oppdatert: 2018-06-07bibliografisk kontrollert
Xavier, d. L. & Lundin, M. (2014). Sensitivity analysis of the unconfoundedness assumption with an application to an evaluation of college choice effects on earnings. Journal of Applied Statistics, 41(8), 1767-1784
Åpne denne publikasjonen i ny fane eller vindu >>Sensitivity analysis of the unconfoundedness assumption with an application to an evaluation of college choice effects on earnings
2014 (engelsk)Inngår i: Journal of Applied Statistics, ISSN 0266-4763, E-ISSN 1360-0532, Vol. 41, nr 8, s. 1767-1784Artikkel i tidsskrift (Fagfellevurdert) Published
Abstract [en]

We evaluate the effects of college choice on earnings using Swedish register databases. This case study is used to motivate the introduction of a novel procedure to analyse the sensitivity of such an observational study to the assumption made that there are no unobserved confounders – variables affecting both college choice and earnings. This assumption is not testable without further information, and should be considered an approximation of reality. To perform a sensitivity analysis, we measure the departure from the unconfoundedness assumption with the correlation between college choice and earnings when conditioning on observed covariates. The use of a correlation as a measure of dependence allows us to propose a standardised procedure by advocating the use of a fixed value for the correlation, typically 1% or 5%, when checking the sensitivity of an evaluation study. A correlation coefficient is, moreover, intuitive to most empirical scientists, which makes the results of our sensitivity analysis easier to communicate than those of previously proposed methods. In our evaluation of the effects of college choice on earnings, the significantly positive effect obtained could not be questioned by a sensitivity analysis allowing for unobserved confounders inducing at most 5% correlation between college choice and earnings.

sted, utgiver, år, opplag, sider
Taylor & Francis, 2014
Emneord
causal inference, effects of education, propensity score, register data
HSV kategori
Forskningsprogram
statistik
Identifikatorer
urn:nbn:se:umu:diva-87711 (URN)10.1080/02664763.2014.890178 (DOI)000335854900009 ()
Tilgjengelig fra: 2014-04-07 Laget: 2014-04-07 Sist oppdatert: 2018-06-08bibliografisk kontrollert
Lundin, M. (2011). Sensitivity Analysis of Untestable Assumptions in Causal Inference. (Doctoral dissertation). Umeå: Statistiska institutionen, Umeå universitet
Åpne denne publikasjonen i ny fane eller vindu >>Sensitivity Analysis of Untestable Assumptions in Causal Inference
2011 (engelsk)Doktoravhandling, med artikler (Annet vitenskapelig)
Abstract [en]

This thesis contributes to the research field of causal inference, where the effect of a treatment on an outcome is of interest is concerned. Many such effects cannot be estimated through randomised experiments. For example, the effect of higher education on future income needs to be estimated using observational data. In the estimation, assumptions are made to make individuals that get higher education comparable with those not getting higher education, to make the effect estimable. Another assumption often made in causal inference (both in randomised an nonrandomised studies) is that the treatment received by one individual has no effect on the outcome of others. If this assumption is not met, the meaning of the causal effect of the treatment may be unclear.

In the first paper the effect of college choice on income is investigated using Swedish register data, by comparing graduates from old and new Swedish universities. A semiparametric method of estimation is used, thereby relaxing functional assumptions for the data.

One assumption often made in causal inference in observational studies is that individuals in different treatment groups are comparable, given that a set of pretreatment variables have been adjusted for in the analysis. This so called unconfoundedness assumption is in principle not possible to test and, therefore, in the second paper we propose a Bayesian sensitivity analysis of the unconfoundedness assumption. This analysis is then performed on the results from the first paper.

In the third paper of the thesis, we study profile likelihood as a tool for semiparametric estimation of a causal effect of a treatment. A semiparametric version of the Bayesian sensitivity analysis of the unconfoundedness assumption proposed in Paper II is also performed using profile likelihood.

The last paper of the thesis is concerned with the estimation of direct and indirect causal effects of a treatment where interference between units is present, i.e., where the treatment of one individual affects the outcome of other individuals. We give unbiased estimators of these direct and indirect effects for situations where treatment probabilities vary between individuals. We also illustrate in a simulation study how direct and indirect causal effects can be estimated when treatment probabilities need to be estimated using background information on individuals.

sted, utgiver, år, opplag, sider
Umeå: Statistiska institutionen, Umeå universitet, 2011. s. 19
Serie
Statistical studies, ISSN 1100-8989 ; 45
Emneord
Observational studies, semiparametric regression, unconfoundedness, Causal inference
HSV kategori
Forskningsprogram
statistik
Identifikatorer
urn:nbn:se:umu:diva-43239 (URN)978-91-7459-222-1 (ISBN)
Disputas
2011-05-20, Samhällsvetarhuset, Hörsal D, Umeå universitet, Umeå, 10:15 (svensk)
Opponent
Veileder
Tilgjengelig fra: 2011-04-29 Laget: 2011-04-25 Sist oppdatert: 2018-06-08bibliografisk kontrollert
de Luna, X. & Lundin, M. (2009). Sensitivity analysis of the unconfoundedess assumption in observational studies. Uppsala: Institute of Labour Market Policy Evaluation
Åpne denne publikasjonen i ny fane eller vindu >>Sensitivity analysis of the unconfoundedess assumption in observational studies
2009 (engelsk)Rapport (Annet vitenskapelig)
sted, utgiver, år, opplag, sider
Uppsala: Institute of Labour Market Policy Evaluation, 2009
Serie
IFAU Working Papers, ISSN 1651-1166 ; 2009:12
HSV kategori
Identifikatorer
urn:nbn:se:umu:diva-12752 (URN)
Tilgjengelig fra: 2007-04-23 Laget: 2007-04-23 Sist oppdatert: 2018-06-09bibliografisk kontrollert
Lundin, M. (2006). Effects of college choice on income: estimation and sensitivity analysis. (Licentiate dissertation). Umeå: Department of Statistics, University of Umeå
Åpne denne publikasjonen i ny fane eller vindu >>Effects of college choice on income: estimation and sensitivity analysis
2006 (engelsk)Licentiatavhandling, monografi (Annet vitenskapelig)
sted, utgiver, år, opplag, sider
Umeå: Department of Statistics, University of Umeå, 2006. s. 6
Serie
Statistical studies, ISSN 1100-8989 ; 35
HSV kategori
Forskningsprogram
statistik
Identifikatorer
urn:nbn:se:umu:diva-7445 (URN)91-7264-104-5 (ISBN)
Tilgjengelig fra: 2007-02-12 Laget: 2007-02-12 Sist oppdatert: 2018-06-09bibliografisk kontrollert
Broström, G., de Luna, X. & Lundin, M. (2005). Att läsa i Umeå är ett bra val. Västerbottens-Kuriren (9 december), 4
Åpne denne publikasjonen i ny fane eller vindu >>Att läsa i Umeå är ett bra val
2005 (svensk)Inngår i: Västerbottens-Kuriren, nr 9 december, s. 4-Artikkel i tidsskrift (Annet (populærvitenskap, debatt, mm)) Published
Identifikatorer
urn:nbn:se:umu:diva-12756 (URN)
Tilgjengelig fra: 2007-04-18 Laget: 2007-04-18 Sist oppdatert: 2018-06-09bibliografisk kontrollert
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