How to interpret the results of comparative drug tests? Statistical analysis methods: standardized SMD mean difference and mean 
difference calculated by the LSMD least squares method

Monika Marko; Rafał Pawliczak

doi:10.5114/pja.2019.88290

eISSN: 2391-6052
ISSN: 2353-3854

Alergologia Polska - Polish Journal of Allergology

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abstract:

Review paper

How to interpret the results of comparative drug tests? Statistical analysis methods: standardized SMD mean difference and mean difference calculated by the LSMD least squares method

Monika Marko

¹

,

Rafał Pawliczak

¹

Zakład Immunopatologii, Katedra Alergologii, Immunologii i Dermatologii, Wydział Nauk Biomedycznych i Kształcenia Podyplomowego, Uniwersytet Medyczny w Łodzi

Alergologia Polska – Polish Journal of Allergology 2019; 6, 3: 90–99

DOI: https://doi.org/10.5114/pja.2019.88290

Online publish date: 2019/10/07

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AMA

Marko M, Pawliczak R. How to interpret the results of comparative drug tests? Statistical analysis methods: standardized SMD mean difference and mean 
difference calculated by the LSMD least squares method. Alergologia Polska - Polish Journal of Allergology. 2019;6(3):90-99. doi:10.5114/pja.2019.88290.

APA

Marko, M.,  & Pawliczak, R. (2019). How to interpret the results of comparative drug tests? Statistical analysis methods: standardized SMD mean difference and mean 
difference calculated by the LSMD least squares method. Alergologia Polska - Polish Journal of Allergology, 6(3), 90-99. https://doi.org/10.5114/pja.2019.88290

Chicago

Marko, Monika,  and Rafał Pawliczak. 2019. "How to interpret the results of comparative drug tests? Statistical analysis methods: standardized SMD mean difference and mean 
difference calculated by the LSMD least squares method". Alergologia Polska - Polish Journal of Allergology 6 (3): 90-99. doi:10.5114/pja.2019.88290.

Harvard

Marko, M.,  and Pawliczak, R. (2019). How to interpret the results of comparative drug tests? Statistical analysis methods: standardized SMD mean difference and mean 
difference calculated by the LSMD least squares method. Alergologia Polska - Polish Journal of Allergology, 6(3), pp.90-99. https://doi.org/10.5114/pja.2019.88290

MLA

Marko, Monika et al. "How to interpret the results of comparative drug tests? Statistical analysis methods: standardized SMD mean difference and mean 
difference calculated by the LSMD least squares method." Alergologia Polska - Polish Journal of Allergology, vol. 6, no. 3, 2019, pp. 90-99. doi:10.5114/pja.2019.88290.

Vancouver

Marko M, Pawliczak R. How to interpret the results of comparative drug tests? Statistical analysis methods: standardized SMD mean difference and mean 
difference calculated by the LSMD least squares method. Alergologia Polska - Polish Journal of Allergology. 2019;6(3):90-99. doi:10.5114/pja.2019.88290.

PlumX metrics:

Adequate statistical tools and their proper application enable reliable assessment of the safety and effectiveness of the tested drugs. To date, several statistical methods have been described that help assess the magnitude of differences between two or more interventions in clinical trials and that provide a better estimate of treatment effects. Medical and biomedical sciences have become fields intensively using research data. It shows the importance of statistical knowledge and the ability to use it in the field of medical/biomedical research. It is the clinician’s responsibility to choose the appropriate method to perform statistical analysis of the tests they have carried out. This article describes and explains SMD statistical methods (standardized mean difference – SMD) and LSMD (least squares mean difference) for comparing the effectiveness of interventions in comparative drug trials.

keywords:

How to interpret the results of comparative drug tests? Statistical analysis methods: standardized SMD mean difference and mean difference calculated by the LSMD least squares method

Monika Marko 1 , Rafał Pawliczak 1

standardized mean difference, least squares mean difference, statistical analysis

Monika Marko

¹

,

Rafał Pawliczak

¹