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Anita Lindmark
Educational qualifications:
Recognised university teacher
0000-0002-4600-0060
Contact
E-mail
anita.lindmark@umu.se
Phone
+46 90 786 61 09
Works at
Affiliation
Associate professor at
Umeå School of Business, Economics and Statistics (USBE)
Section: Statistics
Location
Samhällsvetarhuset, Biblioteksgränd 6
Umeå universitet, 901 87 Umeå
Publications
Publications
Research
Research
Mentions
Mentions
2024
Socioeconomic differences in patient reported outcome measures 3 months after stroke: a nationwide Swedish register-based study
Stroke
, Lippincott Williams & Wilkins 2024, Vol. 55, (8) : 2055-2065
Lindmark, Anita; von Euler, Mia; Glader, Eva-Lotta; et al.
2023
Mediation analyses of the mechanisms by which socioeconomic status, comorbidity, stroke severity, and acute care influence stroke outcome
Neurology
, Wolters Kluwer 2023, Vol. 101, (23)
Lindmark, Anita; Eriksson, Marie; Darehed, David
2022
Sensitivity analysis for unobserved confounding in causal mediation analysis allowing for effect modification, censoring and truncation
Statistical Methods & Applications
, Springer 2022, Vol. 31 : 785-814
Lindmark, Anita
2022
Socioeconomic status and stroke severity: Understanding indirect effects via risk factors and stroke prevention using innovative statistical methods for mediation analysis
PLOS ONE
, Public Library of Science 2022, Vol. 17, (6)
Lindmark, Anita; Eriksson, Marie; Darehed, David
2021
Neighborhood Socioeconomic Differences in Stroke Risk?: Highlighting the Need for Further Research
Neurology
, American Academy of Neurology 2021, Vol. 96, (19) : 879-880
Lindmark, Anita
2020
Socioeconomic Status And Survival After Stroke: Using Mediation And Sensitivity Analyses To Assess The Effect Of Stroke Severity And Unmeasured Confounding
International Journal of Stroke
, Sage Publications 2020, Vol. 15 : 394-394
Lindmark, Anita; Norrving, B.; Eriksson, Marie
2020
Socioeconomic status and survival after stroke: using mediation and sensitivity analyses to assess the effect of stroke severity and unmeasured confounding
BMC Public Health
, BioMed Central 2020, Vol. 20
Lindmark, Anita; Norrving, Bo; Eriksson, Marie
2018
Sensitivity analysis for unobserved confounding of direct and indirect effects using uncertainty intervals
Statistics in Medicine
, John Wiley & Sons 2018, Vol. 37, (10) : 1744-1762
Lindmark, Anita; de Luna, Xavier; Eriksson, Marie
2017
Faktorer som påverkar överlevnad efter stroke
Neurologi i Sverige
, Gustavsberg: Pharma Industry Publishing AB 2017, (1) : 46-49
Lindmark, Anita
2016
Statistical methods for register based studies with applications to stroke
Statistical studies
, 49
Lindmark, Anita
2016
The Importance of Integrating Clinical Relevance and Statistical Significance in the Assessment of Quality of Care - Illustrated Using the Swedish Stroke Register
PLOS ONE
, Vol. 11, (4)
Lindmark, Anita; van Rompaye, Bart; Goetghebeur, Els; et al.
2014
truncSP: an R package for estimation of semi-parametric truncated linear regression models
Journal of Statistical Software
, American Statistical Association 2014, Vol. 57, (14) : 1-19
Karlsson, Maria; Lindmark, Anita
2014
Socioeconomic disparities in stroke case fatality: observations from Riks-Stroke, the Swedish stroke register
International Journal of Stroke
, John Wiley & Sons 2014, Vol. 9, (4) : 429-436
Lindmark, Anita; Glader, Eva-Lotta; Asplund, Kjell; et al.
2013
Socioeconomic disparities in stroke case fatality: observations from Riks-Stroke, the Swedish stroke register
Cerebrovascular Diseases
, Vol. 35, (Suppl. 3) : 225-225
Lindmark, Anita; Glader, Eva-Lotta; Asplund, Kjell; et al.
2011
truncSP: Semi-parametric estimators of truncated regression models. R package version 1.1
Lindmark, Anita; Karlsson, Maria
Uncertainty intervals for unobserved confounding of direct and indirect effects with extensions to censoring and truncation
Lindmark, Anita
View publications in DiVA
Research groups
Group member
Stat4Reg
Research projects
1 January 2019 until 31 December 2022
Uncovering the mechanisms behind socioeconomic inequalities in stroke care and outcome through innovative statistical methods for mediation analysis
Published: 27 May, 2020
USBE Scientific Awards 2020
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