Page 38 - Contributed Paper Session (CPS) - Volume 1
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CPS694 Ordak Michal
                                                         Sentences like: ‘The study is conducted
                                                         using a t-test and an analysis of variance’.

                    Wrong statistical tests are used.    T-test vs explanatory analyses.


                                                         The type of measuring scale is not taken
                                                         into account when choosing a test.

                    Parametric equivalents of tests are    Non-equinumerous groups, i.e. the
                    performed even though assumptions    experimental group and the control
                    are not met.                         group
                                                         Assumptions of regression analysis, such
                                                         as the correlation of predictors, are not
                                                         tested.

                    There is no detailed description of    A chi-square relationship is generally
                    the results obtained.                described without detailed examination
                                                         and description.

                    No validation of instruments and     No calculated Cronbach's alpha
                    questionnaires                       coefficient
                    No valid explanation of outliers     No including outliers in regression

                    Repeating the results of the analysis    The same data in the form of tables,
                    several times                        graphs

                    No explanation of the changes in the   Missing data
                    number of subjects

                    Wrong conclusions drawn on the       Drawing conclusions, despite the use of
                    basis of the analyzes                incorrect statistical Tests

                    Others                               No data on the recruitment of
                                                         participants, inadequate sample size,
                                                         unreadable list of variables, no clear
                                                         baseline demographic and clinical
                                                         parameters

                  Table 1 : Basic statistical errors made by authors in medical journals included in the ISI Master
                  Journals List between 2006 and 2018 (n=1500 publications).

                      During the last thirteen years, i.e. between 2006 and 2018, I carried out
                  25,300  statistical  consultations  in  a  group  of  students  of  various  medical
                  majors. Almost 95% of respondents said that their insufficient knowledge of
                  statistical analysis result from four factors, namely:
                  - Exercises in medical statistics are conducted too quickly
                      Almost 95% of respondents stated that their insufficient knowledge about
                  the use of statistics in medical sciences resulted from the rapid conduct of
                  exercises during studies. Individual statistical tests are performed too quickly.


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