Therese M.‐l. Andersson - Epidemiology

Author Information

Therese M. L. Andersson is a distinguished researcher affiliated with the Department of Medical Epidemiology and Biostatistics at Karolinska Institutet in Stockholm, Sweden, and the Danish Cancer Society in Copenhagen, Denmark. Her work primarily focuses on the field of epidemiology, with a particular interest in survival analysis and cancer research.

Research Contributions

Therese M. L. Andersson has made significant contributions to the field of epidemiology, particularly in the area of survival analysis and cancer research. Her recent works from 2021 and 2022 include studies on flexible parametric survival models, international comparisons of cancer survival, and the introduction of potential biases in survival analysis. She has also explored topics such as life expectancy differences following cancer diagnoses and the impact of mammography screening on life expectancy estimates. Her research is instrumental in developing methodologies for better understanding and comparing population health outcomes.

Aliases

Therese M. L. Andersson is known by several aliases in academic publications, including Therese Andersson, Therese M L Andersson, T M-l Andersson, and others. These variations reflect minor differences in the representation of her name across different publications and databases.

Publication and Citation Metrics

Metric	Value
Total Citations	4,525
H-index	33
Total Papers	157

Publications:

Modelling multiple time-scales with flexible parametric survival models

DOI: 10.21203/rs.3.rs-1268869/v1

Year: 2022

Five ways to improve international comparisons of cancer survival: lessons learned from ICBP SURVMARK-2.

DOI: 10.1038/s41416-022-01701-0

Year: 2022

Potential bias introduced by not including multiple time-scales in survival analysis: a simulation study

DOI: 10.1080/03610918.2022.2038626

Year: 2022

Non-parametric estimation of reference adjusted, standardised probabilities of all-cause death and death due to cancer for population group comparisons

DOI: 10.1186/s12874-021-01465-w

Year: 2022

Quantifying differences in remaining life expectancy after cancer diagnosis, Aboriginal and Torres Strait Islanders and other Australians, 2005-2016.

DOI: 10.1158/1055-9965.EPI-21-1390

Year: 2022

Assessing lead time bias due to mammography screening on estimates of loss in life expectancy

DOI: 10.1186/s13058-022-01505-3

Year: 2022

Development of a dynamic interactive web tool to enhance understanding of multi-state model analyses: MSMplus

DOI: 10.21203/RS.3.RS-382863/V1

Year: 2021

Excess deaths in treatment-resistant depression

DOI: 10.1177/20451253211006508

Year: 2021

Non-Parametric Estimation of Reference Adjusted, Standardised Probabilities of All-Cause Death and Death Due to Cancer for Population Group Comparisons

DOI: 10.21203/RS.3.RS-429687/V1

Year: 2021

On Estimating Survival and Hazard Ratios Using One Time-Scale When Cohort Data Have Multiple Time-Scales: A Simulation Study

DOI: 10.21203/RS.3.RS-151021/V1

Year: 2021

What Technologies are Used in Gait Analysis?

What are the Challenges in Implementing Secondary Interventions?

How is Multivariate Adjustment Performed?

How Does HPV Testing Impact Public Health?

What is the Impact of Model Updating?

Why is Palliative Care Important in Epidemiology?

How Can Sensitivity be Improved?

What is Causal Inference?

Why Does Credibility Matter?

How Are Health Metrics Calculated?

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